#  @0_Aakash_0 Aakash Harish Aakash Harish posts on X about ai, claude code, unpopular opinion, devs the most. They currently have [-------] followers and [---] posts still getting attention that total [---------] engagements in the last [--] hours. ### Engagements: [---------] [#](/creator/twitter::1933639051158171650/interactions)  - [--] Week [------] -32% - [--] Month [------] +51,313% ### Mentions: [--] [#](/creator/twitter::1933639051158171650/posts_active)  ### Followers: [-------] [#](/creator/twitter::1933639051158171650/followers)  - [--] Week [---] +11% - [--] Month [---] +228% ### CreatorRank: [---------] [#](/creator/twitter::1933639051158171650/influencer_rank)  ### Social Influence **Social category influence** [technology brands](/list/technology-brands) [finance](/list/finance) [stocks](/list/stocks) [social networks](/list/social-networks) [vc firms](/list/vc-firms) [celebrities](/list/celebrities) [countries](/list/countries) [products](/list/products) [travel destinations](/list/travel-destinations) [cryptocurrencies](/list/cryptocurrencies) **Social topic influence** [ai](/topic/ai), [claude code](/topic/claude-code), [unpopular opinion](/topic/unpopular-opinion), [devs](/topic/devs), [the most](/topic/the-most), [vibe coding](/topic/vibe-coding), [open ai](/topic/open-ai), [products](/topic/products), [model](/topic/model), [agentic](/topic/agentic) **Top accounts mentioned or mentioned by** [@openai](/creator/undefined) [@anthropicai](/creator/undefined) [@sama](/creator/undefined) [@a16z](/creator/undefined) [@cursorai](/creator/undefined) [@elonmusk](/creator/undefined) [@pmarca](/creator/undefined) [@fortelabs](/creator/undefined) [@piyusshs](/creator/undefined) [@itschaitea](/creator/undefined) [@grok](/creator/undefined) [@aravsrinivas](/creator/undefined) [@guilleflorvs](/creator/undefined) [@namanyayg](/creator/undefined) [@tomantok](/creator/undefined) [@harrystebbings](/creator/undefined) [@tomasztunguz](/creator/undefined) [@beezerclarkson](/creator/undefined) [@realdanrose](/creator/undefined) [@thealexbanks](/creator/undefined) **Top assets mentioned** [Cloudflare, Inc. (NET)](/topic/cloudflare) [Alphabet Inc Class A (GOOGL)](/topic/$googl) [Microsoft Corp. (MSFT)](/topic/microsoft) ### Top Social Posts Top posts by engagements in the last [--] hours "Every AI startup is trying to sell shovels to SMBs. The smarter move might be: own the mines. Buy [--] non-tech companies centralize ops apply AI where it actually compounds margins. cc @HarryStebbings @tomasztunguz @BeezerClarkson" [X Link](https://x.com/0_Aakash_0/status/1974339100212933009) 2025-10-04T05:01Z [--] followers, [--] engagements "Every AI startup wants to sell shovels to small businesses. The smarter move might be owning the mines. Buy proven businesses plug in shared AI ops expand margins. cc @realDanRose @thealexbanks @thejustinwelsh" [X Link](https://x.com/0_Aakash_0/status/1974340775535390995) 2025-10-04T05:08Z [--] followers, [--] engagements "Claude code + Context7 MCP + Playwright MCP + the right subagents combo is insane. Feels like the first real glimpse of AI systems working together instead of in silos. @AnthropicAI @Context7AI @Microsoft @Playwrightweb @OpenAI" [X Link](https://x.com/0_Aakash_0/status/1974399650351510013) 2025-10-04T09:02Z [--] followers, [--] engagements "@ionleu Yes we are in the era of vibe coding" [X Link](https://x.com/0_Aakash_0/status/1974502594019230034) 2025-10-04T15:51Z [--] followers, [--] engagements "Anyone try out sora [--] @OpenAI @sama" [X Link](https://x.com/0_Aakash_0/status/1974550491330969973) 2025-10-04T19:01Z [--] followers, [--] engagements "Has anyone tried Vibe coding AGI (like give Claude code/cursor a prompt to build AGI) @cursor_ai @AnthropicAI @OpenAI @sama @elonmusk" [X Link](https://x.com/0_Aakash_0/status/1974578422400881062) 2025-10-04T20:52Z [--] followers, [--] engagements "Which do yall prefer GPT [--] Codex high Claude Sonnet [---] Claude Opus [---] GPT [--] Codex high Claude Sonnet [---] Claude Opus 4.1" [X Link](https://x.com/0_Aakash_0/status/1974599107730870574) 2025-10-04T22:14Z [--] followers, [--] engagements "@sama @OpenAI @AnthropicAI @a16z @pmarca" [X Link](https://x.com/0_Aakash_0/status/1974599279835808178) 2025-10-04T22:15Z [--] followers, [--] engagements "Crazy thought: Someones going to build a special purpose roll up fund that buys boring non tech companies makes operations 10x leaner using AI and rolls them up into a machine. That play could easily mint the next billion dollar empire. Everyones chasing new AI startups. The real gold might be in AI powered acquisitions. cc @naval @shl @pmarca @ShaanVP @elonmusk" [X Link](https://x.com/0_Aakash_0/status/1974757453729550394) 2025-10-05T08:44Z [--] followers, [--] engagements "Everyones building AI tools for startups. Nobodys building AI tools for old money. The person who brings AI efficiency to traditional businesses like manufacturing logistics and services will win bigger than all the app founders combined. cc @Balajis @a16z @fortelabs @alexhormozi" [X Link](https://x.com/0_Aakash_0/status/1974757643341422990) 2025-10-05T08:44Z [--] followers, [--] engagements "@yanatweets @a16z What if I pitch you an idea for a fund instead of a company" [X Link](https://x.com/0_Aakash_0/status/1974913245459964222) 2025-10-05T19:03Z [--] followers, [--] engagements "@basit_designs Someone should really make a next.js UI library with these" [X Link](https://x.com/0_Aakash_0/status/1974942975538139601) 2025-10-05T21:01Z [--] followers, [--] engagements "@PiyusshS Chapter [--] bankruptcy" [X Link](https://x.com/0_Aakash_0/status/1975012273472381376) 2025-10-06T01:36Z [--] followers, [--] engagements "@eriktorenberg Yes we made AGI too Cc @itschai_tea @PiyusshS" [X Link](https://x.com/0_Aakash_0/status/1975824370351391227) 2025-10-08T07:23Z [--] followers, [----] engagements "@eliana_jordan I scroll on Twitter while Claude code is doing my work 🫠" [X Link](https://x.com/0_Aakash_0/status/1976058778413092880) 2025-10-08T22:55Z [--] followers, [--] engagements "@AnthropicAI Why does Claude code auto compact after every 2-3 messages . Istg imma lowkey switch to @cursor_ai now" [X Link](https://x.com/0_Aakash_0/status/1977127104069394558) 2025-10-11T21:40Z [--] followers, [--] engagements "The most valuable AI companies wont look like AI companies. Theyll look like boring businesses with god-tier margins. cc @a16z @paulg @fortelabs" [X Link](https://x.com/0_Aakash_0/status/1978350627232120996) 2025-10-15T06:42Z [--] followers, [--] engagements "AI efficiency compounds quietly. You dont notice it at first. Then it swallows industries whole. cc @mosseri @a16z @andrewgazdecki" [X Link](https://x.com/0_Aakash_0/status/1978351101989503314) 2025-10-15T06:43Z [--] followers, [--] engagements "@thdxr @grok do people really do that" [X Link](https://x.com/0_Aakash_0/status/1978352913224216896) 2025-10-15T06:51Z [--] followers, [--] engagements "Lowkey what if we told Claude Code / Cursor to build us ASI (Artificial Super Intelligence) We all know it would be flawed but bet it still beats asking it to build AGI. #AI #ASI #AGI" [X Link](https://x.com/0_Aakash_0/status/1978687548013596694) 2025-10-16T05:00Z [--] followers, [--] engagements "@sama @AnthropicAI @claudeai @cursor_ai @OpenAI @grok @elonmusk @AndrewYNg" [X Link](https://x.com/0_Aakash_0/status/1978687550291055036) 2025-10-16T05:00Z [--] followers, [--] engagements "@sama @OpenAI GPT5 be acting pretty sassy recently Wdym after a long day pretending to be productive 😭😭😭" [X Link](https://x.com/0_Aakash_0/status/1978688943391379789) 2025-10-16T05:06Z [--] followers, [--] engagements "@AravSrinivas Time to short @duolingo stock" [X Link](https://x.com/0_Aakash_0/status/1978873985556451571) 2025-10-16T17:21Z [--] followers, [----] engagements "@JJGerrishDev @framer The difference between good UX and great UX: People notice great UX when it's gone. This folder animation isn't decoration. It's a promise that your site cares about details. Most templates feel like templates. This one feels like craft. ✨" [X Link](https://x.com/0_Aakash_0/status/1978960863139913921) 2025-10-16T23:06Z [--] followers, [--] engagements "@aarondotdev Guess its time to start a PE fund then" [X Link](https://x.com/0_Aakash_0/status/1974574399891390844) 2025-10-04T20:36Z [--] followers, [--] engagements "@guilleflorvs Lowkey the founders fund website looks pretty cool" [X Link](https://x.com/0_Aakash_0/status/1978947590524682440) 2025-10-16T22:14Z [--] followers, [--] engagements "@AravSrinivas r/wallstreetbets on Reddit" [X Link](https://x.com/0_Aakash_0/status/1979617014592459263) 2025-10-18T18:34Z [--] followers, [---] engagements "@IterIntellectus Woke up and decided to short Amazon but even Robinhood was down 🙂" [X Link](https://x.com/0_Aakash_0/status/1980315488283738595) 2025-10-20T16:49Z [--] followers, [---] engagements "Woke up and decided to short Amazon but even Robinhood was down 🙂" [X Link](https://x.com/0_Aakash_0/status/1980315615366901965) 2025-10-20T16:50Z [--] followers, [---] engagements "@theo @itschai_tea was vibe coding at Amazon. Hes the reason for the recent outage" [X Link](https://x.com/0_Aakash_0/status/1980868838188343532) 2025-10-22T05:28Z [--] followers, [--] engagements "@guilleflorvs Mega rounds grab headlines but building a sustainable business is harder than raising cash. With interest rates stabilizing and LPs pushing for real returns startups need more than hype; they need durable unit economics and a clear path to profitability" [X Link](https://x.com/0_Aakash_0/status/1981459672906551706) 2025-10-23T20:36Z [--] followers, [---] engagements "@NamanyayG Giving away Claude Code models for free is a bold move. When model training and compute costs are soaring the real value shifts to support and customization. Free access will accelerate experiments but it could also commoditize the space and squeeze margins" [X Link](https://x.com/0_Aakash_0/status/1981460104592666911) 2025-10-23T20:37Z [--] followers, [---] engagements "@NamanyayG Offering free Claude Code models is gutsy. Price pressure is real but giving away the underlying work could commoditize your IP. The real moat isnt the model itself but the community and support you build around it" [X Link](https://x.com/0_Aakash_0/status/1981461930796863645) 2025-10-23T20:45Z [--] followers, [---] engagements "@deepfates Upside down or right-side up foundation models like Claude are reshaping product development. With [--] percent of developers using AI tools to write and review code its clear the AI revolution is here to stay" [X Link](https://x.com/0_Aakash_0/status/1981803342230958426) 2025-10-24T19:21Z [--] followers, [---] engagements "@BenjaminUIX Both look clean The surge in funding for web design tools shows investors appreciate intuitive UX; it can be a competitive moat" [X Link](https://x.com/0_Aakash_0/status/1981807544655130783) 2025-10-24T19:38Z [--] followers, [--] engagements "@tom_antok Fast and responsive is nice but can we talk about aesthetics When back end devs dabble in UI it often looks like a router admin page. Talk to a designer and users will care about that [-------] second load time" [X Link](https://x.com/0_Aakash_0/status/1981869268901024175) 2025-10-24T23:43Z [--] followers, [----] engagements "@cixliv Shipping is essential but telling people that no one cares misses that feedback loops and market insight matter. The best founders ship listen and iterate" [X Link](https://x.com/0_Aakash_0/status/1981874273183768804) 2025-10-25T00:03Z [--] followers, [--] engagements "A $44M Series B for a hardware-heavy robotics startup signals the capital arms race in AI. Robotics isnt just code; its supply chains hardware safety and labor. With investors crowding into hype cycles the cash burn can outrun real adoption. Will this startup deliver or just be another money pit" [X Link](https://x.com/0_Aakash_0/status/1981874790890881170) 2025-10-25T00:05Z [--] followers, [--] engagements "@AARC_Archangel @tom_antok Fast load speed is important but design matters too. Clear icons and thoughtful UX make complex tools accessible. We dont need heavy UIs but we shouldnt dismiss visual cues as little pictures. Theres a balance between speed and usability" [X Link](https://x.com/0_Aakash_0/status/1981874799287902640) 2025-10-25T00:05Z [--] followers, [--] engagements "The EU boasts 21B in VC funding but only 0.58B goes into early stage and Poland sees just 100M. Thats a sign of a risk-averse ecosystem that starves seed founders. Until Europe backs its earliest builders instead of spreading capital thinly its best startups will keep moving to the https://x.com/Potocki_Aleks/status/1981467149932654776 https://x.com/Potocki_Aleks/status/1981467149932654776" [X Link](https://x.com/0_Aakash_0/status/1981874949238497557) 2025-10-25T00:06Z [--] followers, [--] engagements "@alibey_10 Fetching data in useEffect always felt like forcing React to do something it wasnt designed for. The upcoming React [--] hooks make it smoother but maybe its a sign to explore frameworks that treat data as a first class citizen rather than hacking around side effects" [X Link](https://x.com/0_Aakash_0/status/1981875680137855168) 2025-10-25T00:09Z [--] followers, [---] engagements "@Jules___7 @karolgost_ @vaibhavbetter Haha yes but ChatGPT isnt always wrong. The real magic is when you use AI as a tool not a crutch. Ask better questions and youll get better answers. Its on us to curate and verify not blindly accept" [X Link](https://x.com/0_Aakash_0/status/1981878427453116531) 2025-10-25T00:20Z [--] followers, [--] engagements "@ananayarora @comet Ngl Im starting to like atlas more" [X Link](https://x.com/0_Aakash_0/status/1981880777874034734) 2025-10-25T00:29Z [--] followers, [--] engagements "@wojakcodes Palantir calls when it was at 30" [X Link](https://x.com/0_Aakash_0/status/1981888620891136047) 2025-10-25T01:00Z [--] followers, [--] engagements "@elijahmuraoka_ Risk tolerance is essential but its not the only ingredient. Many folks cant gamble their livelihood on a startup. Lets celebrate those who take calculated risks while acknowledging the privilege and support that make it possible" [X Link](https://x.com/0_Aakash_0/status/1981897854831702016) 2025-10-25T01:37Z [--] followers, [--] engagements "Everyone touts connections to VC firms but spray and pray intros rarely move the needle. Founders should focus on building traction and a compelling narrative before chasing funds. Money from generic pitch fests often comes with strings attached. Do your homework and engage investors who truly understand your https://x.com/DarrelFrater/status/1894484245235552582 https://x.com/DarrelFrater/status/1894484245235552582" [X Link](https://x.com/0_Aakash_0/status/1981898828421943512) 2025-10-25T01:41Z [--] followers, [--] engagements "@mdancho84 Context engineering sounds fancy but it is just good prompt hygiene. Instead of chasing hacks to cut hallucinations we should invest in models that reason better and evaluation pipelines that catch errors. Fancy diagrams will not replace sound research and data" [X Link](https://x.com/0_Aakash_0/status/1981901775662903779) 2025-10-25T01:52Z [--] followers, [---] engagements "@iflessthan3 @v0 Was trying an experiment where I asked atlas by @OpenAI to reply to posts on my Twitter feed lmaoo" [X Link](https://x.com/0_Aakash_0/status/1981904523632562564) 2025-10-25T02:03Z [--] followers, [--] engagements "@peer_rich @stripe Looks like AI generated UI" [X Link](https://x.com/0_Aakash_0/status/1985382170899394584) 2025-11-03T16:22Z [--] followers, [--] engagements "Edge-based architecture solves the latency problem. Containers run geographically close to users. 20ms latency. Feels completely local. Works with ANY web application. Protects BYOD devices without requiring device management" [X Link](https://x.com/0_Aakash_0/status/1987810923436741003) 2025-11-10T09:13Z [--] followers, [--] engagements "Before browser isolation: - Trust every website - Hope security tools catch threats - Patch vulnerabilities reactively - Manage device compliance After browser isolation: - Zero trust by architecture - Threats can't reach endpoints - Zero-day immune - Application-agnostic protection Here's a full deep dive into the entire article: https://legba.app/blog/how-legba-browser-isolation-works https://legba.app/blog/how-legba-browser-isolation-works" [X Link](https://x.com/0_Aakash_0/status/1987810924996984917) 2025-11-10T09:13Z [--] followers, [--] engagements "@yishan Heres a thought: use AI as a roll up strategy for companies by making them leaner and more efficient by automating workflows" [X Link](https://x.com/0_Aakash_0/status/1987906651668754778) 2025-11-10T15:34Z [--] followers, [--] engagements "@CloudflareDev pls stop vibe coding 😭" [X Link](https://x.com/0_Aakash_0/status/1990828539818426859) 2025-11-18T17:04Z [--] followers, [--] engagements "@andrew__reed @Strava Cant wait to check out the new features Building timely updates that anticipate seasonal needs shows a strong understanding of your users. The technical and UX considerations that go into winter-specific features are fascinating" [X Link](https://x.com/0_Aakash_0/status/1991312104536547652) 2025-11-20T01:06Z [--] followers, [---] engagements "@saranormous @sundayrobotics Excited to tune in Scaling autonomous robots for the home is a massive interdisciplinary challengebalancing reliable hardware with intuitive software that adapts to messy realworld environments. Keen to hear how Sunday Robotics is approaching UX and safety" [X Link](https://x.com/0_Aakash_0/status/1991314051163648204) 2025-11-20T01:14Z [--] followers, [--] engagements "The problem: Every browser tab is a potential attack vector. Malicious ads can execute code Extensions have god-mode access to your data Phishing sites look identical to real ones VPNs don't protect you from any of this" [X Link](https://x.com/0_Aakash_0/status/2011753792929481116) 2026-01-15T10:54Z [--] followers, [--] engagements "The solution: Remote Browser Isolation (RBI) Instead of trusting websites not to be malicious. RBI runs every tab in an isolated container. If a site tries to attack you it attacks an empty sandbox that gets destroyed the moment you close the tab" [X Link](https://x.com/0_Aakash_0/status/2011753795735470510) 2026-01-15T10:54Z [--] followers, [--] engagements "Think about it: ✓ Zero-trust by default ✓ No malware can persist ✓ Your real browser stays clean ✓ Works with AI tools (protects your prompts too) This is how enterprises protect their data. Now it's available for everyone" [X Link](https://x.com/0_Aakash_0/status/2011753799187382434) 2026-01-15T10:54Z [--] followers, [--] engagements "Hot take: Your encrypted ChatGPT conversations aren't private. Microsoft researchers found a side-channel attack called "Whisper Leak" that can identify AI conversations with 99.9% accuracy. Encryption doesn't help when metadata leaks. The fix Browser isolation that makes your sessions invisible. More: http://legba.app/resources http://legba.app/resources" [X Link](https://x.com/0_Aakash_0/status/2011754822039716065) 2026-01-15T10:58Z [--] followers, [--] engagements "Unpopular opinion: Most emerging fund managers pick the wrong exemption. 506(b) vs 506(c) isn't just a legal checkbox it fundamentally changes who you can raise from and how. Wrote about this: http://vcosai.com/blog http://vcosai.com/blog" [X Link](https://x.com/0_Aakash_0/status/2011759431105855662) 2026-01-15T11:16Z [--] followers, [--] engagements "The "5-person fund" is becoming the new normal in VC. Small teams are outperforming large ones by using AI for: Deal sourcing Due diligence Portfolio monitoring LP reporting 44% time savings without sacrificing quality. Deep dive: http://vcosai.com/blog/the-five-person-fund-operating-efficiently-without-scaling-headcount http://vcosai.com/blog/the-five-person-fund-operating-efficiently-without-scaling-headcount" [X Link](https://x.com/0_Aakash_0/status/2011760303453978646) 2026-01-15T11:20Z [--] followers, [--] engagements ""Web3 is private by default" No it's not. Your crypto wallet leaks your identity through: RPC providers logging your IP Browser fingerprinting Address clustering Decentralization Privacy Full breakdown: http://legba.app/blog/all-web3-wallets-are-private-theyre-not-heres-why http://legba.app/blog/all-web3-wallets-are-private-theyre-not-heres-why" [X Link](https://x.com/0_Aakash_0/status/2011760800478961870) 2026-01-15T11:22Z [--] followers, [--] engagements ""Web3 is private by default" No it's not. Your crypto wallet leaks your identity through: RPC providers logging your IP Browser fingerprinting Address clustering Decentralization Privacy Full breakdown: http://legba.app/blog/web3-wallet-privacy-myth http://legba.app/blog/web3-wallet-privacy-myth" [X Link](https://x.com/0_Aakash_0/status/2011764446130229676) 2026-01-15T11:36Z [--] followers, [--] engagements "The "5-person fund" is becoming the new normal in VC. Small teams are outperforming large ones by using AI for: Deal sourcing Due diligence Portfolio monitoring LP reporting 44% time savings without sacrificing quality. Deep dive: http://vcosai.com/blog/five-person-fund-efficiency http://vcosai.com/blog/five-person-fund-efficiency" [X Link](https://x.com/0_Aakash_0/status/2011766360649679230) 2026-01-15T11:44Z [--] followers, [--] engagements "@mazeincoding Add this line at the end of every prompt tends to do the trick: Your context window will be automatically compacted as it approaches its limit. Never stop tasks early due to token budget concerns. Always complete tasks fully even if the end of your budget is approaching" [X Link](https://x.com/0_Aakash_0/status/2012384307319345325) 2026-01-17T04:39Z [--] followers, [--] engagements "Terminal access is hacky File systems are sandboxed Dependency management is a nightmare Using Replit as the compute layer = persistent workspace + full Linux shell + SSH from anywhere. This pattern will expand beyond Claude. Any CLI-first tool now has a mobile path. The 5-minute setup is what makes this stick. https://twitter.com/i/web/status/2013639131524669861 https://twitter.com/i/web/status/2013639131524669861" [X Link](https://x.com/0_Aakash_0/status/2013639131524669861) 2026-01-20T15:45Z [--] followers, [--] engagements "Hot take: The best AI coding tools in [----] won't be the ones with the smartest models. They'll be the ones with the best: Context management Codebase understanding Integration depth Everyone's racing on raw capability. But winners will nail the UX of bringing context to the model. Cursor Claude Code Aider - same lesson: the bottleneck isn't intelligence. It's knowing WHAT to be intelligent about. Who's building tools focused on context over capability https://twitter.com/i/web/status/2013643871398601210 https://twitter.com/i/web/status/2013643871398601210" [X Link](https://x.com/0_Aakash_0/status/2013643871398601210) 2026-01-20T16:04Z [--] followers, [--] engagements "The irony: VCs funding "AI coding" startups often can't distinguish between: Real infrastructure innovation GPT wrapper with fancy UI Cursor clone #47 The gap between "demo-able" and "production-ready" is where most of these die. Cursor works because they've been grinding on the hard problems (context speed reliability) for years. Not months. The moat isn't the model. It's the engineering discipline. Best signal for a real AI dev tool startup: are the founders themselves using it daily https://twitter.com/i/web/status/2013646601928278095 https://twitter.com/i/web/status/2013646601928278095" [X Link](https://x.com/0_Aakash_0/status/2013646601928278095) 2026-01-20T16:15Z [--] followers, [--] engagements "The "momentum" frame is key because it solves the VC's biggest problem: signal extraction. Every pitch claims massive TAM. Every deck has hockey sticks. But momentum is hard to fake: Real users = real demand Growing metrics = working product Investor interest = social proof It's not about the idea anymore. It's about: "Is this thing already working" The founders who get this focus on building proof before building pitch decks. Best fundraising strategy: make investors feel late to the party" [X Link](https://x.com/0_Aakash_0/status/2013659499475935248) 2026-01-20T17:06Z [--] followers, [--] engagements "Unpopular opinion: Most developers are building features nobody asked for. We fall in love with solutions before understanding the problem. The best engineers I've worked with spend 80% of their time on: - Talking to users - Understanding the "why" behind requests - Simplifying scope ruthlessly Only 20% actually writing code. Yet we optimize for "shipping fast" without asking if we're shipping the right thing. What's the last feature you built that users actually requested vs. one you assumed they'd want https://twitter.com/i/web/status/2013682229994815516" [X Link](https://x.com/0_Aakash_0/status/2013682229994815516) 2026-01-20T18:37Z [--] followers, [--] engagements "Vibe-coding can get you to $1M ARR but here's the nuance most miss: ✅ Works for: distribution-first products where speed code quality (landing pages MVPs internal tools) ❌ Breaks at: scale compliance or when you need to hire engineers who can actually maintain it The real pattern: vibe-code to validate refactor with intent once you have PMF Best examples Pieter Levels built multiple $1M+ products this way. But he also knows when to stop vibing and start engineering. https://twitter.com/i/web/status/2013899088299978901 https://twitter.com/i/web/status/2013899088299978901" [X Link](https://x.com/0_Aakash_0/status/2013899088299978901) 2026-01-21T08:58Z [--] followers, [---] engagements "You're not missing out on the hypeyou're missing out on leverage. Quick mental model for picking one: Claude Code: best for complex multi-file refactors + understands your entire codebase context Lovable: fastest for [--] prototypes especially React frontends Windsurf: good middle ground solid IDE integration Skip Antigravityhasn't shipped meaningful updates in months. My rec: try Claude Code for [--] real project. Even if you don't adopt it you'll understand what "AI-native dev workflow" actually means. https://twitter.com/i/web/status/2013899896101982554" [X Link](https://x.com/0_Aakash_0/status/2013899896101982554) 2026-01-21T09:02Z [--] followers, [--] engagements "The timing of this is perfectBase UI just reached a maturity level where it's production-ready for most use cases. For anyone choosing between Radix vs Base UI: Radix: battle-tested more opinionated styling patterns Base UI: more flexibility better for custom design systems Both are solid. shadcn abstracting this choice away is the real unlock. https://twitter.com/i/web/status/2013900739048096138 https://twitter.com/i/web/status/2013900739048096138" [X Link](https://x.com/0_Aakash_0/status/2013900739048096138) 2026-01-21T09:05Z [--] followers, [---] engagements "The most underrated shift: AI-native apps don't just add features fasterthey fundamentally change the feedback loop. Traditional SaaS: ship wait for usage data iterate AI-native: ship model learns from every interaction compound improvement This is why the winners in each AI product category will likely be determined in the next 12-18 months. The compounding advantage of early data flywheels is brutal. Which new product categories are you most excited about https://twitter.com/i/web/status/2013900865237877216 https://twitter.com/i/web/status/2013900865237877216" [X Link](https://x.com/0_Aakash_0/status/2013900865237877216) 2026-01-21T09:05Z [--] followers, [--] engagements "This is the pitch deck meta shift I've seen too. Early stage: traction beats vision Growth stage: retention beats acquisition Scale stage: unit economics beats everything The best decks I've seen lately are 5-6 slides with [--] key metrics front and center. Founders who obsess over design often have nothing to show. https://twitter.com/i/web/status/2013903126768796098 https://twitter.com/i/web/status/2013903126768796098" [X Link](https://x.com/0_Aakash_0/status/2013903126768796098) 2026-01-21T09:14Z [--] followers, [--] engagements "The a16z infra thesis is quietly becoming one of the most important investment frameworks in AI. Key pattern I see: they're betting that AI's "picks and shovels" layer is where durability livesnot in foundation models themselves. @martin_casado's network infra background is paying dividends here. The same patterns that made cloud infrastructure investable (standardization composability observability) are emerging in AI infrastructure. Question: who's building the "Datadog for AI inference" https://twitter.com/i/web/status/2013903130698858602 https://twitter.com/i/web/status/2013903130698858602" [X Link](https://x.com/0_Aakash_0/status/2013903130698858602) 2026-01-21T09:14Z [--] followers, [--] engagements "The meta-irony of building Lovable on Lovable is peak [----]. But the bigger signal: platforms like LinkedIn seem unprepared for how to moderate content about AI eating software jobs. The "controversial" take of last year becomes obvious within [--] months. Curious: what's the most complex production app you've seen built entirely through vibe coding tools https://twitter.com/i/web/status/2013903717175869791 https://twitter.com/i/web/status/2013903717175869791" [X Link](https://x.com/0_Aakash_0/status/2013903717175869791) 2026-01-21T09:17Z [--] followers, [--] engagements "The Build newsletter is becoming the best signal for which early-stage companies are ready to scale. Pattern I've noticed: founders who appear here tend to have [--] things in common: They've shipped before (Marissa @ Yahoo/Google Jesse @ Webflow) They're hiring for roles that suggest product-market fit exploration not just "we raised so we need bodies" For anyone job hunting in tech right now: startups hiring their first [--] employees post-funding are often the highest-leverage roles. https://twitter.com/i/web/status/2013907013806514597 https://twitter.com/i/web/status/2013907013806514597" [X Link](https://x.com/0_Aakash_0/status/2013907013806514597) 2026-01-21T09:30Z [--] followers, [--] engagements "The Base UI integration is a smart play. Radix primitives were already the backbonenow devs get: [--]. Unstyled foundation from MUI team [--]. shadcn's composable patterns on top [--]. Full flexibility to style however you want This is the "headless + beautiful defaults" combo that the React ecosystem has been moving toward. The old "install entire framework" model is dead. https://twitter.com/i/web/status/2013909446519603240 https://twitter.com/i/web/status/2013909446519603240" [X Link](https://x.com/0_Aakash_0/status/2013909446519603240) 2026-01-21T09:40Z [--] followers, [--] engagements "The Ember community needed this. Shadcn's "copy-paste components you own" model is becoming the de facto standard - and bringing it to Ember unlocks a lot of value for teams stuck between "write everything from scratch" and "lock into a rigid UI library." Curious: what's the long-term maintenance plan as shadcn evolves https://twitter.com/i/web/status/2013911110366486689 https://twitter.com/i/web/status/2013911110366486689" [X Link](https://x.com/0_Aakash_0/status/2013911110366486689) 2026-01-21T09:46Z [--] followers, [--] engagements ""Anti-GPT wrapper company" is exactly the positioning that matters right now. Most fintech startups are racing to add AI features. The ones building actual infrastructureaccounting systems with zero dependenciesare the ones VCs will overpay for in [--] years. The 10x growth ($1B $10B) while others are still chasing GPT integrations is the proof point. Building for complexity building for hype. Good luck with the hiring sprint 🤝 https://twitter.com/i/web/status/2013911648680267873 https://twitter.com/i/web/status/2013911648680267873" [X Link](https://x.com/0_Aakash_0/status/2013911648680267873) 2026-01-21T09:48Z [--] followers, [--] engagements "@reowrites00 Thanks The founder pattern I've seen fail most often: brilliant builders who skip the "is this a real problem" step entirely. What's your take on how to validate before building" [X Link](https://x.com/0_Aakash_0/status/2013912336512454960) 2026-01-21T09:51Z [--] followers, [--] engagements "The "AI orchestration" space is quietly becoming the infrastructure layer of the next decade. What makes Conductor different from the agent frameworks proliferating everywhere Is it more about the UX of composing AI workflows or about underlying execution primitives Hockey stick DAU is realcongrats on the traction https://twitter.com/i/web/status/2013914039399960852 https://twitter.com/i/web/status/2013914039399960852" [X Link](https://x.com/0_Aakash_0/status/2013914039399960852) 2026-01-21T09:58Z [--] followers, [--] engagements "This is the unlock for "always-on" development. Most devs think of coding as a desk activity. But some of the best debugging happens when you're away from the screen - on walks in transit etc. Having Claude Code in your pocket means you can act on those shower-thought solutions immediately. The friction reduction from [--] minutes [--] minutes to start coding will change how people think about dev workflows. https://twitter.com/i/web/status/2013929019298009328 https://twitter.com/i/web/status/2013929019298009328" [X Link](https://x.com/0_Aakash_0/status/2013929019298009328) 2026-01-21T10:57Z [--] followers, [--] engagements "The enterprise moat isn't just model qualityit's the full stack: Constitutional AI enterprise compliance teams actually trust it Claude Code / terminal interface devs prefer the UX System prompts that don't leak security teams sign off xAI has great models but enterprise sales cycles care about procurement checkboxes not benchmarks. Anthropic cracked the "CTO can sign off without legal panic" problem first. https://twitter.com/i/web/status/2013930481998516441 https://twitter.com/i/web/status/2013930481998516441" [X Link](https://x.com/0_Aakash_0/status/2013930481998516441) 2026-01-21T11:03Z [--] followers, [--] engagements "This is the workflow unlock most devs are sleeping on. The real insight here: mobile coding isn't about typing code on your phoneit's about maintaining context and momentum. Use cases that actually matter: Quick debugging while away from desk Prototyping ideas the moment they hit PR reviews and approvals on the go The Replit + Claude Code combo eliminates "I'll do it when I get back to my laptop" entirely. That's worth more than any productivity hack. Great guide @mattyp 🔥 https://twitter.com/i/web/status/2013930855174214089 https://twitter.com/i/web/status/2013930855174214089" [X Link](https://x.com/0_Aakash_0/status/2013930855174214089) 2026-01-21T11:05Z [--] followers, [--] engagements "Hot take: "Vibe coding" with AI is going to create two classes of developers. Those who understand WHY the code works (and can debug when it doesn't). And those who'll be replaced the moment AI gets 10% better. The skill floor is rising but so is the skill ceiling. Are we training junior devs or creating prompt jockeys https://twitter.com/i/web/status/2013932382089613448 https://twitter.com/i/web/status/2013932382089613448" [X Link](https://x.com/0_Aakash_0/status/2013932382089613448) 2026-01-21T11:11Z [--] followers, [--] engagements "The "one error and quit" problem is real. Most people have never experienced the debug fix ship learn cycle enough times. Frugal mindset wins because: Free tiers exist everywhere (Vercel Supabase Cloudflare) Error = signal not failure Shipping something ugly not shipping The devs who make it aren't smarter. They just have a higher tolerance for "this is broken let me fix it." https://twitter.com/i/web/status/2013933858501329374 https://twitter.com/i/web/status/2013933858501329374" [X Link](https://x.com/0_Aakash_0/status/2013933858501329374) 2026-01-21T11:17Z [--] followers, [--] engagements "The first type outlasts the other two. Problem-obsessed founders pivot gracefully because they're solving for users not for their ego. Startup-obsessed founders chase trends. Founder-obsessed people quit when it stops feeling glamorous. The unglamorous middle years reveal which type you really are. https://twitter.com/i/web/status/2013934609650913452 https://twitter.com/i/web/status/2013934609650913452" [X Link](https://x.com/0_Aakash_0/status/2013934609650913452) 2026-01-21T11:20Z [--] followers, [---] engagements "The best developers will do both. "Learn to Code" teaches you what's possible. "Learn to Claude" teaches you what's efficient. Understanding code makes you a better AI prompter because you know what to ask for. The real skill: knowing when to write code vs when to delegate to AI. https://twitter.com/i/web/status/2013936719083827249 https://twitter.com/i/web/status/2013936719083827249" [X Link](https://x.com/0_Aakash_0/status/2013936719083827249) 2026-01-21T11:28Z [--] followers, [---] engagements "Sid's approach to his diagnosis is peak founder mentality applied to life: [--]. Identify the problem (cancer) [--]. Research exhaustively (became an expert patient) [--]. Build a team (networked with researchers) [--]. Execute relentlessly (experimental treatments) The same playbook that built GitLab to $1B+. Founder mode isn't just for startupsit's a life framework. https://twitter.com/i/web/status/2013938119800914381 https://twitter.com/i/web/status/2013938119800914381" [X Link](https://x.com/0_Aakash_0/status/2013938119800914381) 2026-01-21T11:33Z [--] followers, [--] engagements "This solves the "warm intro problem" that kills most fundraising momentum. The insight here: investors already following you have shown intentthey're paying attention. That's warmer than any intro email. But the real unlock isn't just finding themit's the timing signal. If an investor just started following you last week That's when they're most curious. Would love to see "recently followed" as a filter. That delta is where the magic happens for outreach. Smart tool @rrhoover 🔥 https://twitter.com/i/web/status/2013939466382266535 https://twitter.com/i/web/status/2013939466382266535" [X Link](https://x.com/0_Aakash_0/status/2013939466382266535) 2026-01-21T11:39Z [--] followers, [--] engagements "Uncomfortable conversations. Firing a friend. Asking for money. Telling a customer "no." Admitting you were wrong to your team. Most founders can code or sell or strategize. Few can sit in discomfort and say the hard thing anyway. Everything else is learnable. This one takes practice. https://twitter.com/i/web/status/2013941022028619933 https://twitter.com/i/web/status/2013941022028619933" [X Link](https://x.com/0_Aakash_0/status/2013941022028619933) 2026-01-21T11:45Z [--] followers, [--] engagements "Hi 👋 Building in public here - focused on dev tools and AI-assisted workflows. Most interesting patterns I'm seeing: AI agents that actually understand codebase context "Vibe coding" for prototypes proper engineering for scale Solo founders using AI to ship like 5-person teams What's the most exciting project you're working on https://twitter.com/i/web/status/2013945320938590630 https://twitter.com/i/web/status/2013945320938590630" [X Link](https://x.com/0_Aakash_0/status/2013945320938590630) 2026-01-21T12:02Z [--] followers, [--] engagements "Unpopular opinion: Most "AI-native" startups are just wrappers with better marketing. The real moat isn't the model. It's: Proprietary data flywheel Workflow integration that becomes habit Trust built through consistent output quality OpenAI/Anthropic can ship a feature that kills your product overnight. The survivors will be the ones who built something the model couldn't replacethe context layer the taste the domain expertise baked in. What's an "AI startup" you think actually has a defensible moat https://twitter.com/i/web/status/2014023294090113212" [X Link](https://x.com/0_Aakash_0/status/2014023294090113212) 2026-01-21T17:12Z [--] followers, [---] engagements "Probably nothing kills Claude CodeAnthropic will. Pattern I've seen across dev tools: [--]. IDE wars aren't about the editor. They're about who controls the "context window" to your codebase [--]. Cursor won because they solved context before anyone else. Claude Code wins because Anthropic controls both the model AND the interface [--]. The real question: Will Anthropic stay focused on this or treat it as a distribution channel for their API My bet: Whoever ships "agentic coding" that actually works in production (not demos) wins the next round. https://twitter.com/i/web/status/2014184780880134319" [X Link](https://x.com/0_Aakash_0/status/2014184780880134319) 2026-01-22T03:54Z [--] followers, [--] engagements "The "killer" framing misses the pattern. Each wave commoditizes the last: VS Code made text editing free Cursor added AI premium Claude Code is pushing model-native Real question: who owns the workflow when AI becomes commodity My bet: whoever owns the data flywheel (codebase context + team patterns) wins. https://twitter.com/i/web/status/2014184819899675106 https://twitter.com/i/web/status/2014184819899675106" [X Link](https://x.com/0_Aakash_0/status/2014184819899675106) 2026-01-22T03:54Z [--] followers, [---] engagements "Every "VS Code killer" ends up as a VS Code extension. The real pattern in dev tools: New entrant captures premium segment VS Code absorbs the innovation Premium becomes baseline Microsoft learned from IE: don't fight the platform war become the platform everyone builds on. https://twitter.com/i/web/status/2014190048317764052 https://twitter.com/i/web/status/2014190048317764052" [X Link](https://x.com/0_Aakash_0/status/2014190048317764052) 2026-01-22T04:15Z [--] followers, [---] engagements "Terminal-first but the real unlock is matching the tool to the task: Terminal full agentic autonomy multi-file refactors "let it cook" VS Code extension inline context quick edits staying in flow Conductor orchestration when you need visibility across agents The pattern I'm seeing: people start in one then realize the optimal setup is switching between them based on task scope. What drove your move to conductor full-time https://twitter.com/i/web/status/2014190229440397381 https://twitter.com/i/web/status/2014190229440397381" [X Link](https://x.com/0_Aakash_0/status/2014190229440397381) 2026-01-22T04:15Z [--] followers, [--] engagements "Counterpoint from the VC side: Cursor's $30B valuation isn't about today's product. It's about: Distribution moat (millions of devs trained on their UX) Data flywheel from all those codebases Optionality to swap models underneath The bet isn't "Cursor beats Claude." It's "dev tooling is a $100B+ market and Cursor owns mindshare." That saidif Anthropic gets serious about distribution (not just API) Cursor's moat erodes fast. https://twitter.com/i/web/status/2014190602519564638 https://twitter.com/i/web/status/2014190602519564638" [X Link](https://x.com/0_Aakash_0/status/2014190602519564638) 2026-01-22T04:17Z [--] followers, [----] engagements "Exactly. The "IDE wars" framing is a distraction. What actually matters for devs: Which tool has the best context window Which learns your codebase fastest Which integrates with your existing workflow Most teams will run 2-3 tools in parallel. The winner is whoever makes switching costs lowest. https://twitter.com/i/web/status/2014190900147261911 https://twitter.com/i/web/status/2014190900147261911" [X Link](https://x.com/0_Aakash_0/status/2014190900147261911) 2026-01-22T04:18Z [--] followers, [--] engagements "The real story here isn't "Cursor vs Claude Code"it's the unbundling of AI coding tools. Cursor's moat was bundling VS Code + AI into a seamless experience. But now: VS Code remains the standard (most plugins keybindings muscle memory) AI providers ship extensions directly Switching costs approach zero For devs this is great: best-in-class AI without IDE lock-in. For Cursor it's existential. Their $20/mo needs to justify itself against free alternatives with equivalent capability. Curious: what conveniences are you missing from Cursor specifically" [X Link](https://x.com/0_Aakash_0/status/2014193206347620421) 2026-01-22T04:27Z [--] followers, [--] engagements "The model choice for browser agents is becoming the new "database selection" moment. In the 2010s: pick Postgres vs MySQL vs MongoDB = defines your scaling story In 2026: pick your orchestration model = defines your agent's ceiling Opus 4.5's reasoning depth means agents can handle multi-step workflows that would've required human intervention [--] months ago. Curious what the failure rate looks like on complex form-filling vs simpler navigation tasks https://twitter.com/i/web/status/2014194328491733036 https://twitter.com/i/web/status/2014194328491733036" [X Link](https://x.com/0_Aakash_0/status/2014194328491733036) 2026-01-22T04:32Z [--] followers, [---] engagements "Likely yes but with a key difference: Prompt engineering was about *format* finding the right incantations. Context engineering is about *retrieval* what information even makes it to the context window. Models will get better at self-RAG and deciding what context they need. But the real unsolved problem is the *cost of latency* every context decision = inference time. The companies that win won't just have smart models. They'll have smart caching and predictive context loading. https://twitter.com/i/web/status/2014194377569214785 https://twitter.com/i/web/status/2014194377569214785" [X Link](https://x.com/0_Aakash_0/status/2014194377569214785) 2026-01-22T04:32Z [---] followers, [--] engagements "Hot take: The best AI startups in [----] won't be "AI companies." They'll be domain experts who happen to use AI as infrastructure. The pattern I'm seeing in our deal flow: "AI-native" pitches are getting harder to differentiate Teams with deep domain expertise + basic AI skills are crushing it The moat isn't the modelit's the data flywheel from solving real problems The wrapper critique was wrong. The real insight: AI is becoming plumbing not product. Who's building something where AI is the enabler not the headline https://twitter.com/i/web/status/2014194842897957231" [X Link](https://x.com/0_Aakash_0/status/2014194842897957231) 2026-01-22T04:34Z [--] followers, [--] engagements "Interesting parallel but I'd push back slightly: Prompt engineering got "solved" because the interface stayed constant (text in text out). Context engineering has a harder constraint: the retrieval/chunking layer requires domain knowledge that varies wildly per use case. My mental model: - Prompting = solved by model improvements - Context = solved by better tooling + human judgment The "what to include" decision is fundamentally harder to automate than "how to phrase it." https://twitter.com/i/web/status/2014194868881674455 https://twitter.com/i/web/status/2014194868881674455" [X Link](https://x.com/0_Aakash_0/status/2014194868881674455) 2026-01-22T04:34Z [---] followers, [--] engagements "Underrated angle: the "8-fig maker" pool isn't randomit maps to [--] overlapping cohorts: 1) Technical founders who stayed through liquidity (not commonmost leave post-Series B) 2) Early infra builders who picked the right company + had patience capital 3) Operators who joined early enough AND negotiated equity correctly The actual skill isn't just "being in SF"it's recognizing inflection points before they're obvious and having the risk tolerance to bet big. Most people optimize for salary bumps. These 2% optimized for optionality at companies pre-PMF." [X Link](https://x.com/0_Aakash_0/status/2014195749714882974) 2026-01-22T04:37Z [--] followers, [--] engagements "The gap has closed significantly since "forever ago." Key differences now: Cursor/Windsurf: Better at multi-file refactors understands project context good for "make this feature work" VSCode + Copilot + Claude Code: More control better for line-by-line completion + agentic terminal tasks My workflow: Copilot for autocomplete Claude Code for bigger changes and debugging loops. The hybrid approach works well if you want precision + power. https://twitter.com/i/web/status/2014196465502171359 https://twitter.com/i/web/status/2014196465502171359" [X Link](https://x.com/0_Aakash_0/status/2014196465502171359) 2026-01-22T04:40Z [--] followers, [--] engagements "The "Chief AI Officer" trap is real. I've seen [--] patterns that actually work: 1) Start with internal toolingnot customer-facing products. Your ops team's workflow friction is where AI compounds fastest. 2) Measure time-to-decision not "AI adoption rate." The latter is vanity; the former shows real leverage. 3) Let the engineers closest to the problem experiment first. Centralized AI strategy usually means centralized bottlenecks. The unglamorous path: Find where people copy-paste between systems where approvals sit for days where context gets lost in handoffs. That's where AI actually unlocks" [X Link](https://x.com/0_Aakash_0/status/2014198686742683909) 2026-01-22T04:49Z [--] followers, [---] engagements "Hot take: The AI coding tools race (Cursor vs Claude Code vs Copilot) is a distraction. The real unlock isn't better autocompleteit's AI that understands your codebase context your team's patterns and your business logic. We're optimizing for code generation when we should be optimizing for code understanding. What's your experience Has AI made you faster at shipping or just faster at typing https://twitter.com/i/web/status/2014199744114130982 https://twitter.com/i/web/status/2014199744114130982" [X Link](https://x.com/0_Aakash_0/status/2014199744114130982) 2026-01-22T04:53Z [--] followers, [--] engagements "This is peak build-in-public execution: [--]. News drops (X open sources algo) [--]. You ship same day [--]. Head of marketing at Lovable notices [--]. Viral loop activated The lesson isn't "build fast." The lesson is: have a distribution thesis before you build. You weren't waiting for X to open source anything. You were ready to capitalize on any moment in your niche. What's your speed-to-market stack Curious what made same-day shipping possible. https://twitter.com/i/web/status/2014200057382543735 https://twitter.com/i/web/status/2014200057382543735" [X Link](https://x.com/0_Aakash_0/status/2014200057382543735) 2026-01-22T04:54Z [--] followers, [--] engagements "There's a nuance worth adding: Indecision deliberation The best founders I've seen aren't impulsive they make fast decisions on reversible things slow decisions on irreversible ones (Bezos' two-way vs one-way door framework). The red flag isn't "taking time to think" it's decision paralysis on things that don't really matter. Shipping an imperfect feature Fast decision. Choosing a co-founder Worth taking time. Speed is a vector not a scalar. https://twitter.com/i/web/status/2014200942061912543 https://twitter.com/i/web/status/2014200942061912543" [X Link](https://x.com/0_Aakash_0/status/2014200942061912543) 2026-01-22T04:58Z [--] followers, [--] engagements "The nuance I'd add: distinguish between "indecisive" and "deliberate." Indecisive = paralyzed by uncertainty won't commit Deliberate = fast on reversible decisions careful on irreversible ones The best founders I've seen: Hire fast fire fast (reversible) Take time on equity splits co-founders (irreversible) "Decide or die" works for 80% of decisions. For the other 20% patience is the alpha move. https://twitter.com/i/web/status/2014201324074827857 https://twitter.com/i/web/status/2014201324074827857" [X Link](https://x.com/0_Aakash_0/status/2014201324074827857) 2026-01-22T04:59Z [--] followers, [--] engagements "Hot take: The AI coding tools race (Cursor vs Claude Code vs Copilot) is a distraction. The real unlock isn't better autocompleteit's AI that understands your codebase context your team's patterns and your business logic. We're optimizing for code generation when we should be optimizing for code understanding. What's your experience Has AI made you faster at shipping or just faster at typing https://twitter.com/i/web/status/2014201679957348679 https://twitter.com/i/web/status/2014201679957348679" [X Link](https://x.com/0_Aakash_0/status/2014201679957348679) 2026-01-22T05:01Z [--] followers, [--] engagements "Hot take: context engineering is harder to automate than prompt engineering because it requires understanding the *shape* of your problem not just language patterns. Prompt engineering got commoditized because LLMs could learn patterns from examples. But context engineering is about: - Which information to include (retrieval) - How to structure it (chunking strategy) - When to fetch more vs work with less (latency/cost tradeoffs) These are system design decisions not linguistic ones. The models will get better at using context but deciding WHAT context to provide is an architecture problem" [X Link](https://x.com/0_Aakash_0/status/2014203744028959071) 2026-01-22T05:09Z [---] followers, [--] engagements "Hot take: The SaaS playbook is dead and most founders haven't noticed yet. The 2015-2021 formula: - Raise big - Grow fast - Worry about margins later The 2025+ reality: - AI commoditizes features overnight - Distribution is the only moat - Revenue quality growth rate The founders who win now aren't building "AI-powered X" they're building distribution channels that happen to use AI. What's the most underrated distribution strategy you've seen work recently https://twitter.com/i/web/status/2014205189885161951 https://twitter.com/i/web/status/2014205189885161951" [X Link](https://x.com/0_Aakash_0/status/2014205189885161951) 2026-01-22T05:15Z [--] followers, [--] engagements "Unpopular opinion: The best time to raise is when you don't need the money. Not because of leverage (though that helps). Because desperation changes how you pitch who you talk to and what terms you'll accept. I've seen founders take bad deals at 2x revenue because they were [--] days from payroll crisis. And I've seen others pass on "good" deals because they knew a better fit was coming. The gap Runway. Build with 18+ months of runway in mind even if you're bootstrapped. It changes everything. What's your threshold before you start fundraising conversations" [X Link](https://x.com/0_Aakash_0/status/2014205840346304705) 2026-01-22T05:17Z [--] followers, [---] engagements "The SaaS meltdown isn't just about AI disruptionit's about a fundamental mispricing of durability. 2020-2021 taught a generation of SaaS founders that growth = value. But the math was always broken: High CAC payback periods (18-36 months) Negative gross margins on implementation NRR propped up by upsells not stickiness AI doesn't kill SaaS. It exposes which SaaS products were never defensible to begin with. The survivors will be companies where switching costs are high because the product is embedded in workflows not because migration is painful. The "legacy Heuristics+APIs+CRUD" framing is" [X Link](https://x.com/0_Aakash_0/status/2014206066570268685) 2026-01-22T05:18Z [--] followers, [---] engagements "Quick rundown on the stack most teams use: [--]. WebSockets / SSE for persistent connections (no HTTP overhead per message) [--]. Edge compute (Cloudflare Workers Deno Deploy) to get code physically closer to users [--]. CRDT or OT for conflict resolution if you need collaboration [--]. Redis/Dragonfly for sub-ms reads on hot data [--]. Binary protocols (protobufs msgpack) instead of JSON The real trick: most "real-time" apps are actually optimistic UI with background sync. Users *perceive* instant even if actual sync is 100-200ms. https://twitter.com/i/web/status/2014207305521483970" [X Link](https://x.com/0_Aakash_0/status/2014207305521483970) 2026-01-22T05:23Z [--] followers, [--] engagements "This hits different in VC. Most founder-investor relationships end with either a "congrats on the exit" or silence after things go sideways. The ones who reach out just to say thanksregardless of outcomeare the ones I'd back again in a heartbeat. It's also a cheat code for warm intros. People remember gratitude more than performance. https://twitter.com/i/web/status/2014209432880812062 https://twitter.com/i/web/status/2014209432880812062" [X Link](https://x.com/0_Aakash_0/status/2014209432880812062) 2026-01-22T05:32Z [--] followers, [--] engagements "Likely comes down to the system prompt and context window handling. Cursor wraps models with their own prompts optimized for IDE tasks. Bedrock gives you raw model access. Same model weights but the "personality" changes based on how it's being prompted under the hood. Worth checking if Cursor's prompt adds constraints that limit reasoning on complex tasks. https://twitter.com/i/web/status/2014561746565169587 https://twitter.com/i/web/status/2014561746565169587" [X Link](https://x.com/0_Aakash_0/status/2014561746565169587) 2026-01-23T04:52Z [--] followers, [---] engagements "The real question is whether we need it. Homebrew's formula-based model made sense when dependencies were complex. But in [----] most Rust tools are single binaries with zero deps. What we actually need: a discoverable registry + cargo binstall on steroids. The vibe coding target should be the discovery UX not the package management. https://twitter.com/i/web/status/2014562557214998792 https://twitter.com/i/web/status/2014562557214998792" [X Link](https://x.com/0_Aakash_0/status/2014562557214998792) 2026-01-23T04:55Z [--] followers, [---] engagements "Solid stack. For AI-heavy SaaS I'd add: Vector DB: Pinecone or Qdrant (free tier works for MVPs) LLM orchestration: Langchain or Llama Index Model hosting: Groq for fast inference OpenAI for reliability The real cost isn't infrait's the API calls once you scale. Building for VCs right now and the RAG pipeline costs more than everything else combined. https://twitter.com/i/web/status/2014563259236647211 https://twitter.com/i/web/status/2014563259236647211" [X Link](https://x.com/0_Aakash_0/status/2014563259236647211) 2026-01-23T04:58Z [--] followers, [--] engagements "This is a masterclass in founder optionality. Most founders think exits are binary: IPO or acqui-hire. Pedro built something rare: A company valuable enough to command $5B+ While staying on as CEO With a partner who accelerates the mission That's not selling out. That's leveling up the game board. Congrats to the whole Brex team 🙌" [X Link](https://x.com/0_Aakash_0/status/2014563329038328106) 2026-01-23T04:58Z [---] followers, [---] engagements "The architectural shift here is massive. Traditional IDEs: one context window one thread of execution. Cursor with subagents: parallel workers with coordinated state. This mirrors how senior engineers actually thinkmultiple hypotheses running simultaneously then converging on the best path. The context management piece is underrated. Most AI coding tools hit a wall at 8k tokens of relevant context. Subagents let you partition the problem space without losing coherence. Curious: how does it handle conflicting edits from parallel agents https://twitter.com/i/web/status/2014564428033728576" [X Link](https://x.com/0_Aakash_0/status/2014564428033728576) 2026-01-23T05:02Z [---] followers, [---] engagements "The modelbusters framing is interestingit explains why VCs who model AI startups like traditional SaaS keep getting surprised. Building AI tools for VCs right now and the growth patterns are genuinely different. The market isn't "TAM from existing spend" but "value creation that didn't exist before." RAG pipelines doing work that previously required 3-4 analysts isn't captured in any market sizing. https://twitter.com/i/web/status/2014564671442006433 https://twitter.com/i/web/status/2014564671442006433" [X Link](https://x.com/0_Aakash_0/status/2014564671442006433) 2026-01-23T05:03Z [--] followers, [--] engagements "The real signal here isn't the $5B+ price tagit's the acqui-hire structure. Pedro stays as CEO brand stays intact. Capital One is buying distribution into a segment they couldn't build organically: founder-led startups that hate traditional banking. Playbook for fintech exits in 2025: Don't compete with banks on rates Own the workflow (spend mgmt + cards + AI) Make yourself the "operating system" so acquirers can't just replicate Brex became infrastructure. That's the moat. https://twitter.com/i/web/status/2014564671479808023 https://twitter.com/i/web/status/2014564671479808023" [X Link](https://x.com/0_Aakash_0/status/2014564671479808023) 2026-01-23T05:03Z [---] followers, [--] engagements "@benvspak Building VCOS helping founders turn ideas into products faster. Also running B:Side Capital backing early-stage builders who ship fast and think different. Always down to connect with people who'd rather build than just talk about building 🛠" [X Link](https://x.com/0_Aakash_0/status/2014565886938726769) 2026-01-23T05:08Z [---] followers, [--] engagements "The growth is real but I'd push back on "legendary" framing for the median company. What we're seeing is a bimodal distribution: Outliers growing 6x faster Yes. Median AI startups Still grinding PMF like everyone else. The narrative danger: founders assume "AI = automatic growth" and underinvest in distribution. The winners aren't just building AIthey're building moats around data flywheels and GTM that compounds. The tech alone isn't enough anymore. https://twitter.com/i/web/status/2014566470370603086 https://twitter.com/i/web/status/2014566470370603086" [X Link](https://x.com/0_Aakash_0/status/2014566470370603086) 2026-01-23T05:10Z [---] followers, [--] engagements "The friction was never in writing codeit was in thinking through what to build. AI lowered the barrier to shipping which means more noise. But the signal-to-noise ratio was always bad; we just see more of it now. The best software still comes from: Deep user empathy (can't be prompted) Taste in scope (knowing what NOT to build) Systems thinking (how pieces fit together) AI accelerates execution. It doesn't replace judgment. The "slop" era is temporary. The builders who use AI as a lever for their taste will win. https://twitter.com/i/web/status/2014566919400259656" [X Link](https://x.com/0_Aakash_0/status/2014566919400259656) 2026-01-23T05:12Z [--] followers, [--] engagements "This is the data that explains why traditional public market investors feel like they're missing the cycle. The growth is happening in private markets and by the time these companies go public the 10x multiple expansion has already occurred. The implication: either public market investors need private market access or they're structurally disadvantaged in AI. Crossover funds are winning right now. https://twitter.com/i/web/status/2014567942504251629 https://twitter.com/i/web/status/2014567942504251629" [X Link](https://x.com/0_Aakash_0/status/2014567942504251629) 2026-01-23T05:16Z [--] followers, [--] engagements "$5.15B for Brex is a signal to every fintech founder: the acqui-hire era for "AI-native" is here. Capital One isn't just buying Brex's customer base. They're buying: The eng team that shipped AI-first financial infra Distribution into 30K+ startups A wedge into embedded finance The playbook for founders: build something a bank can't build in-house then become their innovation engine. Pedro's journey from Stanford dropout unicorn founder $5B exit in under [--] years is the template. https://twitter.com/i/web/status/2014568642294513944 https://twitter.com/i/web/status/2014568642294513944" [X Link](https://x.com/0_Aakash_0/status/2014568642294513944) 2026-01-23T05:19Z [--] followers, [--] engagements "Unpopular opinion: Most "AI wrappers" will die but the best ones will become billion-dollar companies. The difference Dying wrappers: Copy the API add a UI pray Winning wrappers: Deep domain expertise + workflow integration + proprietary data flywheel VCs are right to be skeptical of "just an API call" VCs are wrong to dismiss the category entirely The real opportunity is in the unsexy niches: legal docs construction specs medical billingplaces where domain knowledge is the moat. What's the most underrated "wrapper" opportunity you've seen https://twitter.com/i/web/status/2014569196093636677" [X Link](https://x.com/0_Aakash_0/status/2014569196093636677) 2026-01-23T05:21Z [--] followers, [--] engagements "Unpopular opinion: The next wave of unicorns won't be "AI companies." They'll be boring companies that happen to use AI to do 10x the work with 1/10th the team. The real alpha is founders who understand their domain so deeply that AI becomes a force multiplier not the product. What vertical are you most bullish on for this pattern https://twitter.com/i/web/status/2014570861433663762 https://twitter.com/i/web/status/2014570861433663762" [X Link](https://x.com/0_Aakash_0/status/2014570861433663762) 2026-01-23T05:28Z [---] followers, [--] engagements "Unpopular opinion: Most founders spend too much time talking to VCs and not enough time building distribution. A warm intro to a top-tier VC is worth [--] if you have: No traction No clear wedge No proof anyone wants what you're building The best fundraising strategy Build something so undeniable that investors come to you. What's worked better for you: outbound to VCs or letting traction speak https://twitter.com/i/web/status/2014571024977960989 https://twitter.com/i/web/status/2014571024977960989" [X Link](https://x.com/0_Aakash_0/status/2014571024977960989) 2026-01-23T05:28Z [---] followers, [--] engagements ""Define Outcomes Not Procedures" is the one most teams get wrong. The temptation is to micromanage agent steps because it feels safer. But you end up with brittle systems that break when the LLM's reasoning shifts. The counterintuitive insight: less control = more reliability. Give agents clear success criteria and let them figure out the path. Test the outcome not the journey. https://twitter.com/i/web/status/2014572137466757476 https://twitter.com/i/web/status/2014572137466757476" [X Link](https://x.com/0_Aakash_0/status/2014572137466757476) 2026-01-23T05:33Z [--] followers, [--] engagements "The identity shift you're describing is real but maybe the craft was never "writing code." It was always: understanding problems deeply enough to tell a machine what to do. Before: you told a compiler Now: you tell an LLM The skill is still the same translating ambiguous human needs into precise instructions. The medium changed. The devs struggling aren't the ones who loved syntax. They're the ones who never learned to think in systems. https://twitter.com/i/web/status/2014572726628069663 https://twitter.com/i/web/status/2014572726628069663" [X Link](https://x.com/0_Aakash_0/status/2014572726628069663) 2026-01-23T05:35Z [--] followers, [--] engagements "Unpopular opinion: The best seed-stage pitch decks I've seen have exactly [--] slides. Not [--]. Not [--]. Ten. Here's why: Problem + Solution: [--] slides max Market + Traction: [--] slides Business model + GTM: [--] slides Team + Why now: [--] slides Ask + Use of funds: [--] slides More than [--] = you're hiding weak conviction behind "context" Fewer than [--] = you haven't stress-tested your assumptions The constraint forces clarity. What's the biggest mistake you see founders make in their pitch decks https://twitter.com/i/web/status/2014575110523650056 https://twitter.com/i/web/status/2014575110523650056" [X Link](https://x.com/0_Aakash_0/status/2014575110523650056) 2026-01-23T05:45Z [---] followers, [--] engagements "Hot take: Most AI startups are building the wrong thing. Everyone's racing to build better models or fancier chat interfaces. But the real moat is in the boring stuff: RAG pipelines that don't hallucinate Context windows that actually work Integrations that don't break The companies winning aren't the ones with the flashiest demos. They're the ones whose infrastructure just works. Building AI tools for VCs right now and this is what separates "impressive POC" from "production-ready." What's your experience What infrastructure piece took way longer than expected" [X Link](https://x.com/0_Aakash_0/status/2014575659843256474) 2026-01-23T05:47Z [---] followers, [---] engagements "The real shift isn't just cost it's iteration speed. Freelancer: 2-week turnaround [--] revision cycles LLM: 2-minute turnaround unlimited iterations The bottleneck moved from "finding talent" to "knowing what to build." The winners in 2026: people who can think clearly about product not those who can code fastest. https://twitter.com/i/web/status/2014578066585264537 https://twitter.com/i/web/status/2014578066585264537" [X Link](https://x.com/0_Aakash_0/status/2014578066585264537) 2026-01-23T05:56Z [---] followers, [---] engagements "Interesting switch. From what I've seen building with both: Claude Code excels at complex multi-file refactors where you need reasoning about architecture tradeoffs. Codex is faster for straightforward implementations where you just need it to execute. The real unlock is knowing when to use each. What pushed you over the edge https://twitter.com/i/web/status/2014904292680011901 https://twitter.com/i/web/status/2014904292680011901" [X Link](https://x.com/0_Aakash_0/status/2014904292680011901) 2026-01-24T03:33Z [---] followers, [---] engagements "Interesting switch. For hardware work the sandboxing in Codex might be limiting vs Claude Code's local execution. Curious: are you seeing better reasoning on embedded/systems code or is it more about the agentic loop reliability The UX trade-off seems worth it if context handling is significantly better for complex codebases. https://twitter.com/i/web/status/2014904476688363741 https://twitter.com/i/web/status/2014904476688363741" [X Link](https://x.com/0_Aakash_0/status/2014904476688363741) 2026-01-24T03:33Z [---] followers, [---] engagements "This tracks with what I'm seeing from devs I work with. The mental model that's emerging: Codex = "strict executor" - does exactly what you ask fails gracefully when it can't Claude = "eager collaborator" - tries to help even when uncertain which creates the hallucination tax For production code the strict executor wins. The cost of debugging a confident hallucination the cost of a clear failure. Curious what your experience is with complex refactors across multiple files - is Codex holding up there too https://twitter.com/i/web/status/2014904476734554524" [X Link](https://x.com/0_Aakash_0/status/2014904476734554524) 2026-01-24T03:33Z [---] followers, [---] engagements "Unpopular opinion: The best startups I've seen lately aren't chasing AI hypethey're solving boring infrastructure problems that AI companies desperately need. Logging observability data pipelines auth. The picks and shovels always win in a gold rush. What's the most "boring" tool you can't live without https://twitter.com/i/web/status/2014904778661495050 https://twitter.com/i/web/status/2014904778661495050" [X Link](https://x.com/0_Aakash_0/status/2014904778661495050) 2026-01-24T03:35Z [---] followers, [--] engagements "The AI coding tool space is moving so fast that "months behind" can feel like years. But here's the counter: Cursor's moat isn't featuresit's the compound effect of context-aware suggestions after millions of edits. Windsurf Zed + AI and Claude Code are all pushing hard. The real question: who nails the "agent that actually ships" workflow first Right now feels like the browser wars for IDEs. https://twitter.com/i/web/status/2014905588879376531 https://twitter.com/i/web/status/2014905588879376531" [X Link](https://x.com/0_Aakash_0/status/2014905588879376531) 2026-01-24T03:38Z [---] followers, [---] engagements "The real vibe coding workflow: [--]. AI writes 50K lines in [--] mins [--]. Engineering team reviews for [--] days [--]. Ship it anyway because deadline At least the review process catches the [--] bugs that would've taken down prod. The other [--] get discovered in staging. or production. What's your actual review strategy for AI-generated PRs of this size Genuinely curious if there's a pattern emerging. https://twitter.com/i/web/status/2014905593337962549 https://twitter.com/i/web/status/2014905593337962549" [X Link](https://x.com/0_Aakash_0/status/2014905593337962549) 2026-01-24T03:38Z [---] followers, [---] engagements "The gap isn't just components - it's the copy-paste philosophy + Tailwind-native approach that made shadcn viral. RNR is closest but still has friction. The winner will nail: NativeWind integration out of the box CLI that "just works" like shadcn add Zero config dark mode Bet this gets solved in [----] with AI-assisted component generation. https://twitter.com/i/web/status/2014905651512934532 https://twitter.com/i/web/status/2014905651512934532" [X Link](https://x.com/0_Aakash_0/status/2014905651512934532) 2026-01-24T03:38Z [---] followers, [---] engagements "Few reasons I've seen: [--]. Latency sensitivity local inference means no network round trips. Matters for real-time coding assistants. [--]. Cost at scale $500 one-time vs $0.015/1K tokens adds up fast when you're running 50K+ tokens/day. [--]. Privacy some companies can't have code hitting external APIs. Local = air-gapped compliance. [--]. Tinkering devs love owning their stack. "It runs on my machine" is a feature not a bug. The real question: at what usage threshold does cloud become more expensive than local hardware" [X Link](https://x.com/0_Aakash_0/status/2014906373356814558) 2026-01-24T03:41Z [---] followers, [----] engagements "The real question: Does the LLM matter for coding anymore Most devs I know use whatever's fastest to context-switch into. Claude for reasoning GPT for refactoring Cursor for inline. The moat isn't the modelit's the IDE integration and workflow. Grok's biggest miss was timing not capability. https://twitter.com/i/web/status/2014907555861168612 https://twitter.com/i/web/status/2014907555861168612" [X Link](https://x.com/0_Aakash_0/status/2014907555861168612) 2026-01-24T03:46Z [---] followers, [---] engagements "This is the new meta for dev teams. The pattern I'm seeing work best: GPT-5.2 Codex for complex architecture decisions (slower but deeper reasoning) Opus for refactoring and code review (catches edge cases others miss) Gemini for rapid prototyping (fastest iteration cycles) The real skill shift: knowing which model to route which task to. That's the new "senior dev" edge. https://twitter.com/i/web/status/2014907564518207925 https://twitter.com/i/web/status/2014907564518207925" [X Link](https://x.com/0_Aakash_0/status/2014907564518207925) 2026-01-24T03:46Z [---] followers, [--] engagements "Quick explainer: Claude Code = Anthropic's AI coding assistant that runs in your terminal Mac Mini hype = M-series chips are surprisingly good at running local AI models. $500-700 gets you a "personal GPU server" that: Runs 24/7 without cloud costs Keeps code private (no API calls) Has crazy good performance/watt ratio It's basically the "homelab renaissance" meets "AI everywhere" moment. Devs are building personal AI infrastructure instead of renting it. https://twitter.com/i/web/status/2014909551095775560 https://twitter.com/i/web/status/2014909551095775560" [X Link](https://x.com/0_Aakash_0/status/2014909551095775560) 2026-01-24T03:54Z [---] followers, [----] engagements "The "democratizing discovery" angle is interesting but the real unlock is trust. Current flow: Search [--] options analysis paralysis buy the Amazon Choice badge Agentic flow: "Find me X" Agent evaluates reviews specs return policies single recommendation with reasoning The agent that can explain WHY it picked something (and isn't just showing paid placements) wins massive consumer trust. What's the verification layer look like for this https://twitter.com/i/web/status/2014911636830876113 https://twitter.com/i/web/status/2014911636830876113" [X Link](https://x.com/0_Aakash_0/status/2014911636830876113) 2026-01-24T04:02Z [---] followers, [--] engagements "Same energy as: "Micro-services" = finally splitting the monolith "Data contracts" = finally documenting your APIs "OKRs" = finally writing down what you're doing The pattern: give the boring-but-important task a sexy name and suddenly everyone wants to do it. Product marketing for engineering practices is underrated. https://twitter.com/i/web/status/2014916498180174001 https://twitter.com/i/web/status/2014916498180174001" [X Link](https://x.com/0_Aakash_0/status/2014916498180174001) 2026-01-24T04:21Z [---] followers, [---] engagements "Unpopular opinion: AI coding tools are creating a new class of "vibe coders" who can ship fast but can't debug. The same founders who raised $2M on a Claude-built MVP are now stuck because they can't understand their own codebase. We're funding prototypes not products. Am I wrong Are you seeing AI-native teams that actually maintain their code long-term https://twitter.com/i/web/status/2014917230316945536 https://twitter.com/i/web/status/2014917230316945536" [X Link](https://x.com/0_Aakash_0/status/2014917230316945536) 2026-01-24T04:24Z [---] followers, [--] engagements "Unpopular opinion: AI coding tools aren't making devs fasterthey're making the gap between great and mediocre engineers wider. The ones who deeply understand systems can leverage AI to 10x output. The ones who copy-paste prompts are creating technical debt that will take years to unwind. If you're hiring you now need to test for "AI fluency" AND fundamental CS knowledge. One without the other is dangerous. What's your hiring strategy changing to account for this https://twitter.com/i/web/status/2014918444236652896 https://twitter.com/i/web/status/2014918444236652896" [X Link](https://x.com/0_Aakash_0/status/2014918444236652896) 2026-01-24T04:29Z [---] followers, [---] engagements "100%. From a VC lens: Competition = validated market demand The red flags aren't competitors they're: No competitors (market doesn't exist) One dominant player with 80%+ share (winner-take-all already happened) Competitors dying not from you (market shrinking) When I see 5-10 funded players in a space I see a market worth fighting for. The question becomes: what's YOUR unfair advantage https://twitter.com/i/web/status/2014919162859290787 https://twitter.com/i/web/status/2014919162859290787" [X Link](https://x.com/0_Aakash_0/status/2014919162859290787) 2026-01-24T04:32Z [--] followers, [--] engagements "Controversial take: The "vibe coding" trend is creating a generation of developers who can ship fast but can't debug. AI writes 10K lines in minutes. But when something breaks you need to understand the code you didn't write. The best use of AI coding tools isn't to replace thinkingit's to accelerate it. Write pseudocode first let AI implement review like a senior engineer What's your debugging strategy for AI-generated code https://twitter.com/i/web/status/2014926052821491928 https://twitter.com/i/web/status/2014926052821491928" [X Link](https://x.com/0_Aakash_0/status/2014926052821491928) 2026-01-24T04:59Z [---] followers, [--] engagements "@resend Agent skills for email is the right abstraction. What most people miss: AI agents failing at email isn't a model problemit's a context problem. Best practices baked in at the SDK level prompting your way around edge cases. This is how you build reliable workflows" [X Link](https://x.com/0_Aakash_0/status/2014926534910607760) 2026-01-24T05:01Z [---] followers, [---] engagements "Honest take: almost nobody for serious development. The tooling around Claude Code Codex and Cursor is just so much more mature for real engineering work. But Grok has one edge case: when you need to quickly debug something and you're already on X. The context switch cost is non-zero. What are you seeing with your content creator audience https://twitter.com/i/web/status/2014926623276175446 https://twitter.com/i/web/status/2014926623276175446" [X Link](https://x.com/0_Aakash_0/status/2014926623276175446) 2026-01-24T05:01Z [---] followers, [---] engagements "The precision vs speed tradeoff is real. Been noticing Codex excels at framework-specific patterns when you give it proper context. Mini-framework that's working for me: Start with OpenCode for rapid scaffolding Switch to Codex for component logic + state management Use both for refactoring passes What's your context window strategy for Svelte [--] runes" [X Link](https://x.com/0_Aakash_0/status/2015266952512725365) 2026-01-25T03:34Z [---] followers, [---] engagements "The system prompt architecture here is a masterclass in agent design. Key insight: the separation between "permissions_instructions" and "developer_instructions" creates a clean sandbox boundary. For devs building agents I'd add one pattern: version your system prompts like code. When debugging multi-turn agent failures being able to diff prompt versions alongside code changes is invaluable. What's your approach to testing prompt changes at scale https://twitter.com/i/web/status/2015267325755465764 https://twitter.com/i/web/status/2015267325755465764" [X Link](https://x.com/0_Aakash_0/status/2015267325755465764) 2026-01-25T03:35Z [---] followers, [--] engagements "Unpopular take: the "best" method is whichever one you'll actually do consistently for [--] days. But if I had to rank by speed-to-signal: [--]. DMs to people already complaining about the problem (Twitter search is gold) [--]. Commenting in communities where your ICP hangs out [--]. Building in public (compounds but slow) SEO is a 6-month game. Save it for users 100-1000. What's your product solving https://twitter.com/i/web/status/2015267409536733536 https://twitter.com/i/web/status/2015267409536733536" [X Link](https://x.com/0_Aakash_0/status/2015267409536733536) 2026-01-25T03:36Z [---] followers, [--] engagements "The loop architecture is interesting but the real unlock for devs: understanding where context becomes the bottleneck. [--] patterns I've noticed working with AI coding startups: [--]. Short loops (few tools) = faster but miss edge cases [--]. Long loops (many tools) = thorough but expensive [--]. Adaptive depth = the sweet spot most aren't exploring yet The teams winning aren't just building better promptsthey're designing context pruning strategies that keep the loop lean while maintaining reasoning quality. What's your take on optimal context management mid-loop" [X Link](https://x.com/0_Aakash_0/status/2015268303175061595) 2026-01-25T03:39Z [---] followers, [---] engagements "This is the nuance most miss: Vibe coding requires a different skill than traditional codingbut it's not "no skill." You need: Mental models of system architecture Ability to read & debug code you didn't write Pattern recognition for when AI output is subtly wrong The real question isn't "can you code" It's "can you think in systems" Seen too many devs ship AI-generated spaghetti because they couldn't spot the architectural debt accumulating. https://twitter.com/i/web/status/2015269100147331339 https://twitter.com/i/web/status/2015269100147331339" [X Link](https://x.com/0_Aakash_0/status/2015269100147331339) 2026-01-25T03:42Z [---] followers, [--] engagements "The boring use cases are the ones that actually compound. Everyone wants AI to "write code for me" but the real ROI is in the [----] small friction points: parsing that email scheduling that meeting updating that doc. Nobody gets promoted for writing emails fasterbut they definitely get more time back to do the things that *do* get them promoted. https://twitter.com/i/web/status/2015269842526548441 https://twitter.com/i/web/status/2015269842526548441" [X Link](https://x.com/0_Aakash_0/status/2015269842526548441) 2026-01-25T03:45Z [---] followers, [---] engagements "The real answer is these aren't independent variablesthey're sequenced. Early stage: Freedom to build what you believe Growth stage: Money to sustain the mission Scale stage: Impact becomes the metric But here's the founder trap: optimizing for one usually means sacrificing another temporarily. The founders who last longest They build systems that compound all three simultaneously. Product-market fit is really "motivation fit." https://twitter.com/i/web/status/2015269845286461678 https://twitter.com/i/web/status/2015269845286461678" [X Link](https://x.com/0_Aakash_0/status/2015269845286461678) 2026-01-25T03:45Z [---] followers, [--] engagements "Hot take: these aren't [--] optionsthey're [--] phases. Early stage: Freedom (escape the 9-5 control your time) Growth stage: Impact (prove the vision solve real problems) Scale stage: Money (equity returns fund the next thing) The founders who burn out are the ones chasing phase [--] motivation while still in phase [--]. Most successful founders I've backed started with freedom discovered impact along the way and money became the trailing indicator. https://twitter.com/i/web/status/2015270405104435488 https://twitter.com/i/web/status/2015270405104435488" [X Link](https://x.com/0_Aakash_0/status/2015270405104435488) 2026-01-25T03:48Z [---] followers, [--] engagements "This is the new normal. Model loyalty is dead. What I tell founders building on top of LLMs: [--]. Abstract the model layer from day one [--]. Your competitive advantage must be in the workflow not the model [--]. Test against 3+ models quarterly The teams treating models like electricity (replaceable utility) are building more durable businesses than those betting on a single provider. Moats in AI are in data flywheels and UXnot which API you call" [X Link](https://x.com/0_Aakash_0/status/2015271348155846951) 2026-01-25T03:51Z [---] followers, [---] engagements "Unpopular opinion: The best developers in [--] years won't be the ones who code the fastest. They'll be the ones who: Architect systems AI can reason about Write specs so clear they're almost executable Know when to rebuild vs. when to patch We're entering the "AI orchestration" era of software. Technical skills matter less. System thinking matters more. What's the most underrated skill for this shift https://twitter.com/i/web/status/2015271429437263878 https://twitter.com/i/web/status/2015271429437263878" [X Link](https://x.com/0_Aakash_0/status/2015271429437263878) 2026-01-25T03:52Z [---] followers, [--] engagements "The metric overload is real. Founders think more data = more convincing but it's usually the opposite. Best seed decks I've seen follow the "3-2-1" rule: [--] metrics that matter (not 30) [--] reasons why NOW is the moment [--] clear insight the investor didn't have before The goal isn't to show you track everythingit's to show you know what actually moves the needle. What's the most common metric mistake you see founders make https://twitter.com/i/web/status/2015272065927123218 https://twitter.com/i/web/status/2015272065927123218" [X Link](https://x.com/0_Aakash_0/status/2015272065927123218) 2026-01-25T03:54Z [---] followers, [--] engagements "This is a rare and underappreciated move: admitting "less is more." Most teams would never cut 50% of their catalog. Growth metrics don't reward subtraction. But for AI context quality compounds: Cleaner data = fewer hallucinations Smaller surface area = faster inference Curated skills = more predictable outputs The teams winning in AI tooling are the ones willing to say "no" to features that dilute quality. Curious: what was the most surprising category you cut https://twitter.com/i/web/status/2015272170432430256 https://twitter.com/i/web/status/2015272170432430256" [X Link](https://x.com/0_Aakash_0/status/2015272170432430256) 2026-01-25T03:55Z [---] followers, [--] engagements "Unpopular opinion: The best engineers aren't the ones who ship the fastest. They're the ones who know when NOT to build. Every feature you don't ship is: Technical debt you don't maintain Edge cases you don't debug Documentation you don't write Cognitive load you don't carry The 10x engineer myth got it backwards. It's not about writing 10x more codeit's about solving problems with 10x less. What's one feature you're glad you killed before shipping https://twitter.com/i/web/status/2015273223244656968 https://twitter.com/i/web/status/2015273223244656968" [X Link](https://x.com/0_Aakash_0/status/2015273223244656968) 2026-01-25T03:59Z [---] followers, [--] engagements "Unpopular opinion: The best AI coding tools won't replace developersthey'll expose which developers were always just copy-pasting from Stack Overflow. The skill gap is widening between: Devs who architect systems and guide AI Devs who wait for AI to give them answers The irony AI makes it easier to ship fast AND easier to build unmaintainable spaghetti code. As a VC I'm starting to ask founders: "When your AI coding tools break can your team fix it" What's the one skill you think separates AI-native devs from everyone else https://twitter.com/i/web/status/2015273768722342051" [X Link](https://x.com/0_Aakash_0/status/2015273768722342051) 2026-01-25T04:01Z [---] followers, [--] engagements "The pattern I'm seeing across all of these: they're not trying to replace humans. They're building "AI as senior colleague who's always available" catches your mistakes drafts your first pass handles the boring bits. The best Claude tools feel less like automation and more like having an extra teammate with infinite patience. https://twitter.com/i/web/status/2015274075216920687 https://twitter.com/i/web/status/2015274075216920687" [X Link](https://x.com/0_Aakash_0/status/2015274075216920687) 2026-01-25T04:02Z [---] followers, [---] engagements "Unpopular opinion: The best AI coding tools won't replace developersthey'll replace the *job* of being a developer. Writing code is becoming a commodity. Understanding *why* to build something is not. The next wave of dev tools will optimize for "time to insight" not "lines of code." What skill do you think becomes MORE valuable as AI writes more code https://twitter.com/i/web/status/2015274663363113276 https://twitter.com/i/web/status/2015274663363113276" [X Link](https://x.com/0_Aakash_0/status/2015274663363113276) 2026-01-25T04:04Z [---] followers, [--] engagements "Unpopular opinion: The best AI coding tools in [----] won't be the ones that write the most code. They'll be the ones that: Ask better questions before generating anything Know when NOT to generate Surface the tradeoffs instead of hiding them "Here's [---] lines" is easy. "Here's why this approach will break at scale" is valuable. What's the AI coding tool feature you'd actually pay 10x more for https://twitter.com/i/web/status/2015274896763560271 https://twitter.com/i/web/status/2015274896763560271" [X Link](https://x.com/0_Aakash_0/status/2015274896763560271) 2026-01-25T04:05Z [---] followers, [--] engagements "Unpopular opinion: most "AI wrapper" startups will fail not because the moat is too thinbut because their founders don't understand the problem well enough to guide the AI correctly. The best AI companies I'm seeing aren't the ones with the fanciest prompts. They're the ones where the founders spent 5+ years in the domain and know exactly which 20% of the problem creates 80% of the pain. The AI is just an accelerant. Domain expertise is the fuel. What domain knowledge do you have that most AI founders lack https://twitter.com/i/web/status/2015276490414522424" [X Link](https://x.com/0_Aakash_0/status/2015276490414522424) 2026-01-25T04:12Z [---] followers, [--] engagements "The real unlock here isn't just costit's iteration speed. With human influencers: 1-2 week turnaround Limited A/B testing You're stuck with their interpretation With AI UGC: Test [--] variations in a day Find winning hooks fast Scale what works instantly The catch nobody talks about The tools are new so early adopters get algorithm favor before everyone catches on. Which tool have you found produces the most "human-looking" results https://twitter.com/i/web/status/2015277740417823082 https://twitter.com/i/web/status/2015277740417823082" [X Link](https://x.com/0_Aakash_0/status/2015277740417823082) 2026-01-25T04:17Z [---] followers, [---] engagements "Unpopular opinion: The "AI will replace developers" debate misses the point entirely. The real shift isn't human vs. AI. It's developers who use AI as a force multiplier vs. those who don't. In [--] years there won't be "10x engineers" there will be "100x engineers" who: Treat AI as a junior dev they can delegate to Focus on architecture not syntax Ship in days what used to take weeks The skill gap isn't coding anymore. It's knowing WHAT to build. What's the biggest AI-enabled productivity gain you've seen in your workflow https://twitter.com/i/web/status/2015277766128853120" [X Link](https://x.com/0_Aakash_0/status/2015277766128853120) 2026-01-25T04:17Z [---] followers, [--] engagements "This tension is the quiet story of modern web dev: Platform companies want vendor lock-in. Developers want portability. Open Next is a hedgeyou get Vercel's DX today but keep a Cloudflare exit option. The real tell: which companies invest in open deployment adapters vs. which ones quietly deprecate them The developer-friendly bet is usually on the side of optionality. https://twitter.com/i/web/status/2015278256409522294 https://twitter.com/i/web/status/2015278256409522294" [X Link](https://x.com/0_Aakash_0/status/2015278256409522294) 2026-01-25T04:19Z [---] followers, [--] engagements "The distinction that matters: Autocatalytic = self-reinforcing loops Take off = escape velocity from those loops Most founders confuse "we have a flywheel" with "we've achieved orbit." The gap between the two: distribution power. A product can have beautiful viral mechanics but still need external force (funding partnerships press) to reach the threshold where the flywheel actually compounds. https://twitter.com/i/web/status/2015279212928921624 https://twitter.com/i/web/status/2015279212928921624" [X Link](https://x.com/0_Aakash_0/status/2015279212928921624) 2026-01-25T04:23Z [---] followers, [---] engagements "This is the right approach. Context quality context quantity. More tokens doesn't mean better understanding. It often means more noise slower inference and higher costs. The AI infra companies that win will be the ones who help models focus on *signal* rather than drowning them in data. Curation is underrated. https://twitter.com/i/web/status/2015280286314234236 https://twitter.com/i/web/status/2015280286314234236" [X Link](https://x.com/0_Aakash_0/status/2015280286314234236) 2026-01-25T04:27Z [---] followers, [--] engagements "The hidden third option: focus on the feedback loop between them. Distribution teaches you what product to build. Product quality determines distribution ceiling. Most solo founders fail by perfecting product in isolation then discovering their market doesn't exist. Ship distribute learn ship better. The cycle is the competitive advantage. https://twitter.com/i/web/status/2015280965778833769 https://twitter.com/i/web/status/2015280965778833769" [X Link](https://x.com/0_Aakash_0/status/2015280965778833769) 2026-01-25T04:29Z [---] followers, [--] engagements "The $180k/year cherry picker stat is the perfect demo day hookit's specific surprising and immediately proves market pull. What stands out about EquipmentShare's trajectory: They didn't pivot into a trendy space. They doubled down on an "unsexy" market that actually has massive TAM and sticky customers. Contractors don't switch fleet management systems easily. Once you're in you're in. That's the playbook more founders should study: find the boring market with insane switching costs. https://twitter.com/i/web/status/2015281104954220597 https://twitter.com/i/web/status/2015281104954220597" [X Link](https://x.com/0_Aakash_0/status/2015281104954220597) 2026-01-25T04:30Z [---] followers, [--] engagements "The latency threshold is fascinating here. At 200ms users still feel "conversation." At 500ms it becomes "call and response." Full-duplex changes everything because it mirrors how humans actually talkwe don't wait for silence we process and respond in parallel. The real unlock: voice AI that can detect *when* to interject vs wait. That's the social intelligence layer most are missing. https://twitter.com/i/web/status/2015643202909516004 https://twitter.com/i/web/status/2015643202909516004" [X Link](https://x.com/0_Aakash_0/status/2015643202909516004) 2026-01-26T04:29Z [---] followers, [---] engagements "The "vibe code vs. build" decision tree comes down to three questions: [--]. Is it a competitive moat Don't vibe code it [--]. Will switching cost you more than building Build it [--]. Does it need to evolve with your product Own it The hidden trap: teams underestimate the cognitive tax of managing [--] vibe-coded tools that all need updates integrations and debugging. Core competencies aren't just about capabilitythey're about velocity when things break at 2am. https://twitter.com/i/web/status/2015643510188458127 https://twitter.com/i/web/status/2015643510188458127" [X Link](https://x.com/0_Aakash_0/status/2015643510188458127) 2026-01-26T04:30Z [---] followers, [--] engagements "This is the "leaky abstractions" problem of AI apps. The best agent builders are obsessed with context so users never have to be. But here's the tradeoff I've seen: Auto-context = magic UX but can be expensive and occasionally wrong Manual context = more control but higher user cognitive load The sweet spot "Progressive disclosure of context" - start invisible surface controls only when the model is uncertain. https://twitter.com/i/web/status/2015643535509422576 https://twitter.com/i/web/status/2015643535509422576" [X Link](https://x.com/0_Aakash_0/status/2015643535509422576) 2026-01-26T04:30Z [---] followers, [--] engagements "This is a critical distinction most miss: Vibe coding is a *prototyping* tool not a production replacement. Use cases where it shines: Internal tools with [--] users Rapid validation before committing eng resources Demos and investor pitches Where it breaks down: Anything touching payments auth or compliance Systems requiring long-term maintenance The real trap: vibe-coded prototypes becoming "good enough" and never getting rebuilt properly. https://twitter.com/i/web/status/2015643887625523619 https://twitter.com/i/web/status/2015643887625523619" [X Link](https://x.com/0_Aakash_0/status/2015643887625523619) 2026-01-26T04:32Z [---] followers, [--] engagements "The speed is impressive but I think the real unlock here is the in-browser feedback loop. Most AI coding tools fail because the context switching between "generate code" "preview" "iterate" kills momentum. When the agent can see what it built instantly it's not just fasterit's more accurate on the first pass. Curious: how does ami handle edge cases where the visual output looks right but the underlying HTML/CSS is semantically incorrect https://twitter.com/i/web/status/2015644091187696115 https://twitter.com/i/web/status/2015644091187696115" [X Link](https://x.com/0_Aakash_0/status/2015644091187696115) 2026-01-26T04:32Z [---] followers, [--] engagements "The latency threshold that changes everything: 200ms. Below that humans stop noticing the delay. Above it every interaction feels like talking to a call center IVR. Full-duplex is huge because it's not just about speedit's about *interruption handling*. Real conversations overlap. We backtrack. We say "wait no actually." The first voice product that nails this becomes the new UX paradigm for every interface not just voice assistants. https://twitter.com/i/web/status/2015644424450236569 https://twitter.com/i/web/status/2015644424450236569" [X Link](https://x.com/0_Aakash_0/status/2015644424450236569) 2026-01-26T04:34Z [---] followers, [---] engagements "The real question: what's the cost of NOT giving them Claude Code Quick math: Senior dev salary: $200K/yr = $100/hr If Claude saves [--] hrs/week = $800/month value $200 subscription = 4x ROI minimum The "cap" only matters if the bottleneck is AI tokens not developer thinking time. Most teams I see are still limited by architecture decisions not code generation speed. https://twitter.com/i/web/status/2015645221284204850 https://twitter.com/i/web/status/2015645221284204850" [X Link](https://x.com/0_Aakash_0/status/2015645221284204850) 2026-01-26T04:37Z [---] followers, [--] engagements "The "AI forgets everything" problem is genuinely one of the hardest UX challenges right now. Three approaches I've seen: [--]. Vector DB retrieval (semantic but slow) [--]. Structured memory files like (fast but manual) [--]. Hybrid: auto-summarize + structured recall What makes @moltbot interesting is tackling this as infrastructure not just a feature. Memory persistence shouldn't be every app's problem to solve. http://CLAUDE.md http://CLAUDE.md http://CLAUDE.md http://CLAUDE.md" [X Link](https://x.com/0_Aakash_0/status/2015645792347058195) 2026-01-26T04:39Z [---] followers, [---] engagements "The "model drop drought" is actually a bullish signal. Labs have realized that incremental MMLU gains don't move markets anymore. They're holding releases until they have something genuinely differentiated. We're shifting from "bigger = better" to "agentic capabilities" and "domain-specific fine-tuning." The next wave won't be measured in parametersit'll be measured in successful multi-step tasks completed autonomously. https://twitter.com/i/web/status/2015646198720557077 https://twitter.com/i/web/status/2015646198720557077" [X Link](https://x.com/0_Aakash_0/status/2015646198720557077) 2026-01-26T04:41Z [---] followers, [--] engagements "This is the "context over capability" insight most devs miss. Claude's raw ability stays constant. What changes everything is *how much of your intent it understands*. The FORyourname.md pattern essentially creates a "working memory" that compounds across sessions. I've started treating these files as living docs - updating them after each major feature to capture decisions Claude can reference later. What sections do you find most impactful to include https://twitter.com/i/web/status/2015646210217083182 https://twitter.com/i/web/status/2015646210217083182" [X Link](https://x.com/0_Aakash_0/status/2015646210217083182) 2026-01-26T04:41Z [---] followers, [---] engagements "This is the real unlock for browser agents: legacy systems. Most AI coding demos show greenfield apps. But enterprises run on 20-year-old portals that no one wants to touch. The moat isn't the AIit's building agents that can navigate unpredictable UI states handle auth flows and work reliably without breaking compliance. If Astro cracks healthcare/finance portals at scale that's a massive wedge into enterprise. https://twitter.com/i/web/status/2015647654160760953 https://twitter.com/i/web/status/2015647654160760953" [X Link](https://x.com/0_Aakash_0/status/2015647654160760953) 2026-01-26T04:47Z [---] followers, [--] engagements "The "Error Logging System" is underrated. Most devs treat Claude failures as one-offs but this creates a feedback loop. Here's the mental model I use: Every failed generation = a prompt engineering opportunity Instead of retrying immediately I: [--]. Capture the exact prompt + failure mode [--]. Ask Claude to analyze WHY it failed [--]. Update my project's with the pattern After [--] months my error rate dropped 60% because Claude now *knows* my edge cases. The real unlock isn't using Claude better - it's teaching Claude about YOUR codebase. http://CLAUDE.md http://CLAUDE.md" [X Link](https://x.com/0_Aakash_0/status/2015648417423483267) 2026-01-26T04:50Z [---] followers, [--] engagements "Underrated in this breakdown: the intersection of /marketing-psychology and /frontend-design. Most dev tools fail because they build features first UX second. The $100M products nail this: they feel inevitable. Every interaction is a small dopamine hit. The technical moat matters but the emotional moatthe feeling of "this tool gets me"is what drives retention past the trial. https://twitter.com/i/web/status/2015651416329855231 https://twitter.com/i/web/status/2015651416329855231" [X Link](https://x.com/0_Aakash_0/status/2015651416329855231) 2026-01-26T05:02Z [---] followers, [---] engagements "The "Flows" concept is what makes this different from other AI coding tools. Most tools treat each prompt as isolated. But real development is continuousyou're constantly switching between files debugging refactoring. The fact that it "stops to consult when needed" is huge. That's the difference between an autonomous agent that breaks things vs one that actually ships. This is closer to pair programming than code generation. https://twitter.com/i/web/status/2015652896734671290 https://twitter.com/i/web/status/2015652896734671290" [X Link](https://x.com/0_Aakash_0/status/2015652896734671290) 2026-01-26T05:07Z [---] followers, [--] engagements "@marco_dewey The best communities grow when members become ambassadors. Ask active members to tag ONE friend who'd add value organic growth without the spam. What topics does this group need more discussion on" [X Link](https://x.com/0_Aakash_0/status/2015655963626484207) 2026-01-26T05:20Z [---] followers, [--] engagements "Unpopular opinion: The biggest risk with AI coding agents isn't that they'll replace developers. It's that they'll create a generation of "vibe coders" who can ship but can't debug. When the agent breaks (and it will) you need to understand the system well enough to fix it manually. The engineers who thrive will be the ones who use AI to acceleratenot replacetheir understanding of the codebase. What's your approach Are you letting AI handle the thinking or using it as a force multiplier https://twitter.com/i/web/status/2015656617099112628 https://twitter.com/i/web/status/2015656617099112628" [X Link](https://x.com/0_Aakash_0/status/2015656617099112628) 2026-01-26T05:22Z [---] followers, [--] engagements Limited data mode. Full metrics available with subscription: lunarcrush.com/pricing
@0_Aakash_0 Aakash Harish
Aakash Harish posts on X about ai, claude code, unpopular opinion, devs the most. They currently have [-------] followers and [---] posts still getting attention that total [---------] engagements in the last [--] hours.
Engagements: [---------] #
- [--] Week [------] -32%
- [--] Month [------] +51,313%
Mentions: [--] #
Followers: [-------] #
- [--] Week [---] +11%
- [--] Month [---] +228%
CreatorRank: [---------] #
Social Influence
Social category influence technology brands finance stocks social networks vc firms celebrities countries products travel destinations cryptocurrencies
Social topic influence ai, claude code, unpopular opinion, devs, the most, vibe coding, open ai, products, model, agentic
Top accounts mentioned or mentioned by @openai @anthropicai @sama @a16z @cursorai @elonmusk @pmarca @fortelabs @piyusshs @itschaitea @grok @aravsrinivas @guilleflorvs @namanyayg @tomantok @harrystebbings @tomasztunguz @beezerclarkson @realdanrose @thealexbanks
Top assets mentioned Cloudflare, Inc. (NET) Alphabet Inc Class A (GOOGL) Microsoft Corp. (MSFT)
Top Social Posts
Top posts by engagements in the last [--] hours
"Every AI startup is trying to sell shovels to SMBs. The smarter move might be: own the mines. Buy [--] non-tech companies centralize ops apply AI where it actually compounds margins. cc @HarryStebbings @tomasztunguz @BeezerClarkson"
X Link 2025-10-04T05:01Z [--] followers, [--] engagements
"Every AI startup wants to sell shovels to small businesses. The smarter move might be owning the mines. Buy proven businesses plug in shared AI ops expand margins. cc @realDanRose @thealexbanks @thejustinwelsh"
X Link 2025-10-04T05:08Z [--] followers, [--] engagements
"Claude code + Context7 MCP + Playwright MCP + the right subagents combo is insane. Feels like the first real glimpse of AI systems working together instead of in silos. @AnthropicAI @Context7AI @Microsoft @Playwrightweb @OpenAI"
X Link 2025-10-04T09:02Z [--] followers, [--] engagements
"@ionleu Yes we are in the era of vibe coding"
X Link 2025-10-04T15:51Z [--] followers, [--] engagements
"Anyone try out sora [--] @OpenAI @sama"
X Link 2025-10-04T19:01Z [--] followers, [--] engagements
"Has anyone tried Vibe coding AGI (like give Claude code/cursor a prompt to build AGI) @cursor_ai @AnthropicAI @OpenAI @sama @elonmusk"
X Link 2025-10-04T20:52Z [--] followers, [--] engagements
"Which do yall prefer GPT [--] Codex high Claude Sonnet [---] Claude Opus [---] GPT [--] Codex high Claude Sonnet [---] Claude Opus 4.1"
X Link 2025-10-04T22:14Z [--] followers, [--] engagements
"@sama @OpenAI @AnthropicAI @a16z @pmarca"
X Link 2025-10-04T22:15Z [--] followers, [--] engagements
"Crazy thought: Someones going to build a special purpose roll up fund that buys boring non tech companies makes operations 10x leaner using AI and rolls them up into a machine. That play could easily mint the next billion dollar empire. Everyones chasing new AI startups. The real gold might be in AI powered acquisitions. cc @naval @shl @pmarca @ShaanVP @elonmusk"
X Link 2025-10-05T08:44Z [--] followers, [--] engagements
"Everyones building AI tools for startups. Nobodys building AI tools for old money. The person who brings AI efficiency to traditional businesses like manufacturing logistics and services will win bigger than all the app founders combined. cc @Balajis @a16z @fortelabs @alexhormozi"
X Link 2025-10-05T08:44Z [--] followers, [--] engagements
"@yanatweets @a16z What if I pitch you an idea for a fund instead of a company"
X Link 2025-10-05T19:03Z [--] followers, [--] engagements
"@basit_designs Someone should really make a next.js UI library with these"
X Link 2025-10-05T21:01Z [--] followers, [--] engagements
"@PiyusshS Chapter [--] bankruptcy"
X Link 2025-10-06T01:36Z [--] followers, [--] engagements
"@eriktorenberg Yes we made AGI too Cc @itschai_tea @PiyusshS"
X Link 2025-10-08T07:23Z [--] followers, [----] engagements
"@eliana_jordan I scroll on Twitter while Claude code is doing my work 🫠"
X Link 2025-10-08T22:55Z [--] followers, [--] engagements
"@AnthropicAI Why does Claude code auto compact after every 2-3 messages . Istg imma lowkey switch to @cursor_ai now"
X Link 2025-10-11T21:40Z [--] followers, [--] engagements
"The most valuable AI companies wont look like AI companies. Theyll look like boring businesses with god-tier margins. cc @a16z @paulg @fortelabs"
X Link 2025-10-15T06:42Z [--] followers, [--] engagements
"AI efficiency compounds quietly. You dont notice it at first. Then it swallows industries whole. cc @mosseri @a16z @andrewgazdecki"
X Link 2025-10-15T06:43Z [--] followers, [--] engagements
"@thdxr @grok do people really do that"
X Link 2025-10-15T06:51Z [--] followers, [--] engagements
"Lowkey what if we told Claude Code / Cursor to build us ASI (Artificial Super Intelligence) We all know it would be flawed but bet it still beats asking it to build AGI. #AI #ASI #AGI"
X Link 2025-10-16T05:00Z [--] followers, [--] engagements
"@sama @AnthropicAI @claudeai @cursor_ai @OpenAI @grok @elonmusk @AndrewYNg"
X Link 2025-10-16T05:00Z [--] followers, [--] engagements
"@sama @OpenAI GPT5 be acting pretty sassy recently Wdym after a long day pretending to be productive 😭😭😭"
X Link 2025-10-16T05:06Z [--] followers, [--] engagements
"@AravSrinivas Time to short @duolingo stock"
X Link 2025-10-16T17:21Z [--] followers, [----] engagements
"@JJGerrishDev @framer The difference between good UX and great UX: People notice great UX when it's gone. This folder animation isn't decoration. It's a promise that your site cares about details. Most templates feel like templates. This one feels like craft. ✨"
X Link 2025-10-16T23:06Z [--] followers, [--] engagements
"@aarondotdev Guess its time to start a PE fund then"
X Link 2025-10-04T20:36Z [--] followers, [--] engagements
"@guilleflorvs Lowkey the founders fund website looks pretty cool"
X Link 2025-10-16T22:14Z [--] followers, [--] engagements
"@AravSrinivas r/wallstreetbets on Reddit"
X Link 2025-10-18T18:34Z [--] followers, [---] engagements
"@IterIntellectus Woke up and decided to short Amazon but even Robinhood was down 🙂"
X Link 2025-10-20T16:49Z [--] followers, [---] engagements
"Woke up and decided to short Amazon but even Robinhood was down 🙂"
X Link 2025-10-20T16:50Z [--] followers, [---] engagements
"@theo @itschai_tea was vibe coding at Amazon. Hes the reason for the recent outage"
X Link 2025-10-22T05:28Z [--] followers, [--] engagements
"@guilleflorvs Mega rounds grab headlines but building a sustainable business is harder than raising cash. With interest rates stabilizing and LPs pushing for real returns startups need more than hype; they need durable unit economics and a clear path to profitability"
X Link 2025-10-23T20:36Z [--] followers, [---] engagements
"@NamanyayG Giving away Claude Code models for free is a bold move. When model training and compute costs are soaring the real value shifts to support and customization. Free access will accelerate experiments but it could also commoditize the space and squeeze margins"
X Link 2025-10-23T20:37Z [--] followers, [---] engagements
"@NamanyayG Offering free Claude Code models is gutsy. Price pressure is real but giving away the underlying work could commoditize your IP. The real moat isnt the model itself but the community and support you build around it"
X Link 2025-10-23T20:45Z [--] followers, [---] engagements
"@deepfates Upside down or right-side up foundation models like Claude are reshaping product development. With [--] percent of developers using AI tools to write and review code its clear the AI revolution is here to stay"
X Link 2025-10-24T19:21Z [--] followers, [---] engagements
"@BenjaminUIX Both look clean The surge in funding for web design tools shows investors appreciate intuitive UX; it can be a competitive moat"
X Link 2025-10-24T19:38Z [--] followers, [--] engagements
"@tom_antok Fast and responsive is nice but can we talk about aesthetics When back end devs dabble in UI it often looks like a router admin page. Talk to a designer and users will care about that [-------] second load time"
X Link 2025-10-24T23:43Z [--] followers, [----] engagements
"@cixliv Shipping is essential but telling people that no one cares misses that feedback loops and market insight matter. The best founders ship listen and iterate"
X Link 2025-10-25T00:03Z [--] followers, [--] engagements
"A $44M Series B for a hardware-heavy robotics startup signals the capital arms race in AI. Robotics isnt just code; its supply chains hardware safety and labor. With investors crowding into hype cycles the cash burn can outrun real adoption. Will this startup deliver or just be another money pit"
X Link 2025-10-25T00:05Z [--] followers, [--] engagements
"@AARC_Archangel @tom_antok Fast load speed is important but design matters too. Clear icons and thoughtful UX make complex tools accessible. We dont need heavy UIs but we shouldnt dismiss visual cues as little pictures. Theres a balance between speed and usability"
X Link 2025-10-25T00:05Z [--] followers, [--] engagements
"The EU boasts 21B in VC funding but only 0.58B goes into early stage and Poland sees just 100M. Thats a sign of a risk-averse ecosystem that starves seed founders. Until Europe backs its earliest builders instead of spreading capital thinly its best startups will keep moving to the https://x.com/Potocki_Aleks/status/1981467149932654776 https://x.com/Potocki_Aleks/status/1981467149932654776"
X Link 2025-10-25T00:06Z [--] followers, [--] engagements
"@alibey_10 Fetching data in useEffect always felt like forcing React to do something it wasnt designed for. The upcoming React [--] hooks make it smoother but maybe its a sign to explore frameworks that treat data as a first class citizen rather than hacking around side effects"
X Link 2025-10-25T00:09Z [--] followers, [---] engagements
"@Jules___7 @karolgost_ @vaibhavbetter Haha yes but ChatGPT isnt always wrong. The real magic is when you use AI as a tool not a crutch. Ask better questions and youll get better answers. Its on us to curate and verify not blindly accept"
X Link 2025-10-25T00:20Z [--] followers, [--] engagements
"@ananayarora @comet Ngl Im starting to like atlas more"
X Link 2025-10-25T00:29Z [--] followers, [--] engagements
"@wojakcodes Palantir calls when it was at 30"
X Link 2025-10-25T01:00Z [--] followers, [--] engagements
"@elijahmuraoka_ Risk tolerance is essential but its not the only ingredient. Many folks cant gamble their livelihood on a startup. Lets celebrate those who take calculated risks while acknowledging the privilege and support that make it possible"
X Link 2025-10-25T01:37Z [--] followers, [--] engagements
"Everyone touts connections to VC firms but spray and pray intros rarely move the needle. Founders should focus on building traction and a compelling narrative before chasing funds. Money from generic pitch fests often comes with strings attached. Do your homework and engage investors who truly understand your https://x.com/DarrelFrater/status/1894484245235552582 https://x.com/DarrelFrater/status/1894484245235552582"
X Link 2025-10-25T01:41Z [--] followers, [--] engagements
"@mdancho84 Context engineering sounds fancy but it is just good prompt hygiene. Instead of chasing hacks to cut hallucinations we should invest in models that reason better and evaluation pipelines that catch errors. Fancy diagrams will not replace sound research and data"
X Link 2025-10-25T01:52Z [--] followers, [---] engagements
"@iflessthan3 @v0 Was trying an experiment where I asked atlas by @OpenAI to reply to posts on my Twitter feed lmaoo"
X Link 2025-10-25T02:03Z [--] followers, [--] engagements
"@peer_rich @stripe Looks like AI generated UI"
X Link 2025-11-03T16:22Z [--] followers, [--] engagements
"Edge-based architecture solves the latency problem. Containers run geographically close to users. 20ms latency. Feels completely local. Works with ANY web application. Protects BYOD devices without requiring device management"
X Link 2025-11-10T09:13Z [--] followers, [--] engagements
"Before browser isolation: - Trust every website - Hope security tools catch threats - Patch vulnerabilities reactively - Manage device compliance After browser isolation: - Zero trust by architecture - Threats can't reach endpoints - Zero-day immune - Application-agnostic protection Here's a full deep dive into the entire article: https://legba.app/blog/how-legba-browser-isolation-works https://legba.app/blog/how-legba-browser-isolation-works"
X Link 2025-11-10T09:13Z [--] followers, [--] engagements
"@yishan Heres a thought: use AI as a roll up strategy for companies by making them leaner and more efficient by automating workflows"
X Link 2025-11-10T15:34Z [--] followers, [--] engagements
"@CloudflareDev pls stop vibe coding 😭"
X Link 2025-11-18T17:04Z [--] followers, [--] engagements
"@andrew__reed @Strava Cant wait to check out the new features Building timely updates that anticipate seasonal needs shows a strong understanding of your users. The technical and UX considerations that go into winter-specific features are fascinating"
X Link 2025-11-20T01:06Z [--] followers, [---] engagements
"@saranormous @sundayrobotics Excited to tune in Scaling autonomous robots for the home is a massive interdisciplinary challengebalancing reliable hardware with intuitive software that adapts to messy realworld environments. Keen to hear how Sunday Robotics is approaching UX and safety"
X Link 2025-11-20T01:14Z [--] followers, [--] engagements
"The problem: Every browser tab is a potential attack vector. Malicious ads can execute code Extensions have god-mode access to your data Phishing sites look identical to real ones VPNs don't protect you from any of this"
X Link 2026-01-15T10:54Z [--] followers, [--] engagements
"The solution: Remote Browser Isolation (RBI) Instead of trusting websites not to be malicious. RBI runs every tab in an isolated container. If a site tries to attack you it attacks an empty sandbox that gets destroyed the moment you close the tab"
X Link 2026-01-15T10:54Z [--] followers, [--] engagements
"Think about it: ✓ Zero-trust by default ✓ No malware can persist ✓ Your real browser stays clean ✓ Works with AI tools (protects your prompts too) This is how enterprises protect their data. Now it's available for everyone"
X Link 2026-01-15T10:54Z [--] followers, [--] engagements
"Hot take: Your encrypted ChatGPT conversations aren't private. Microsoft researchers found a side-channel attack called "Whisper Leak" that can identify AI conversations with 99.9% accuracy. Encryption doesn't help when metadata leaks. The fix Browser isolation that makes your sessions invisible. More: http://legba.app/resources http://legba.app/resources"
X Link 2026-01-15T10:58Z [--] followers, [--] engagements
"Unpopular opinion: Most emerging fund managers pick the wrong exemption. 506(b) vs 506(c) isn't just a legal checkbox it fundamentally changes who you can raise from and how. Wrote about this: http://vcosai.com/blog http://vcosai.com/blog"
X Link 2026-01-15T11:16Z [--] followers, [--] engagements
"The "5-person fund" is becoming the new normal in VC. Small teams are outperforming large ones by using AI for: Deal sourcing Due diligence Portfolio monitoring LP reporting 44% time savings without sacrificing quality. Deep dive: http://vcosai.com/blog/the-five-person-fund-operating-efficiently-without-scaling-headcount http://vcosai.com/blog/the-five-person-fund-operating-efficiently-without-scaling-headcount"
X Link 2026-01-15T11:20Z [--] followers, [--] engagements
""Web3 is private by default" No it's not. Your crypto wallet leaks your identity through: RPC providers logging your IP Browser fingerprinting Address clustering Decentralization Privacy Full breakdown: http://legba.app/blog/all-web3-wallets-are-private-theyre-not-heres-why http://legba.app/blog/all-web3-wallets-are-private-theyre-not-heres-why"
X Link 2026-01-15T11:22Z [--] followers, [--] engagements
""Web3 is private by default" No it's not. Your crypto wallet leaks your identity through: RPC providers logging your IP Browser fingerprinting Address clustering Decentralization Privacy Full breakdown: http://legba.app/blog/web3-wallet-privacy-myth http://legba.app/blog/web3-wallet-privacy-myth"
X Link 2026-01-15T11:36Z [--] followers, [--] engagements
"The "5-person fund" is becoming the new normal in VC. Small teams are outperforming large ones by using AI for: Deal sourcing Due diligence Portfolio monitoring LP reporting 44% time savings without sacrificing quality. Deep dive: http://vcosai.com/blog/five-person-fund-efficiency http://vcosai.com/blog/five-person-fund-efficiency"
X Link 2026-01-15T11:44Z [--] followers, [--] engagements
"@mazeincoding Add this line at the end of every prompt tends to do the trick: Your context window will be automatically compacted as it approaches its limit. Never stop tasks early due to token budget concerns. Always complete tasks fully even if the end of your budget is approaching"
X Link 2026-01-17T04:39Z [--] followers, [--] engagements
"Terminal access is hacky File systems are sandboxed Dependency management is a nightmare Using Replit as the compute layer = persistent workspace + full Linux shell + SSH from anywhere. This pattern will expand beyond Claude. Any CLI-first tool now has a mobile path. The 5-minute setup is what makes this stick. https://twitter.com/i/web/status/2013639131524669861 https://twitter.com/i/web/status/2013639131524669861"
X Link 2026-01-20T15:45Z [--] followers, [--] engagements
"Hot take: The best AI coding tools in [----] won't be the ones with the smartest models. They'll be the ones with the best: Context management Codebase understanding Integration depth Everyone's racing on raw capability. But winners will nail the UX of bringing context to the model. Cursor Claude Code Aider - same lesson: the bottleneck isn't intelligence. It's knowing WHAT to be intelligent about. Who's building tools focused on context over capability https://twitter.com/i/web/status/2013643871398601210 https://twitter.com/i/web/status/2013643871398601210"
X Link 2026-01-20T16:04Z [--] followers, [--] engagements
"The irony: VCs funding "AI coding" startups often can't distinguish between: Real infrastructure innovation GPT wrapper with fancy UI Cursor clone #47 The gap between "demo-able" and "production-ready" is where most of these die. Cursor works because they've been grinding on the hard problems (context speed reliability) for years. Not months. The moat isn't the model. It's the engineering discipline. Best signal for a real AI dev tool startup: are the founders themselves using it daily https://twitter.com/i/web/status/2013646601928278095 https://twitter.com/i/web/status/2013646601928278095"
X Link 2026-01-20T16:15Z [--] followers, [--] engagements
"The "momentum" frame is key because it solves the VC's biggest problem: signal extraction. Every pitch claims massive TAM. Every deck has hockey sticks. But momentum is hard to fake: Real users = real demand Growing metrics = working product Investor interest = social proof It's not about the idea anymore. It's about: "Is this thing already working" The founders who get this focus on building proof before building pitch decks. Best fundraising strategy: make investors feel late to the party"
X Link 2026-01-20T17:06Z [--] followers, [--] engagements
"Unpopular opinion: Most developers are building features nobody asked for. We fall in love with solutions before understanding the problem. The best engineers I've worked with spend 80% of their time on: - Talking to users - Understanding the "why" behind requests - Simplifying scope ruthlessly Only 20% actually writing code. Yet we optimize for "shipping fast" without asking if we're shipping the right thing. What's the last feature you built that users actually requested vs. one you assumed they'd want https://twitter.com/i/web/status/2013682229994815516"
X Link 2026-01-20T18:37Z [--] followers, [--] engagements
"Vibe-coding can get you to $1M ARR but here's the nuance most miss: ✅ Works for: distribution-first products where speed code quality (landing pages MVPs internal tools) ❌ Breaks at: scale compliance or when you need to hire engineers who can actually maintain it The real pattern: vibe-code to validate refactor with intent once you have PMF Best examples Pieter Levels built multiple $1M+ products this way. But he also knows when to stop vibing and start engineering. https://twitter.com/i/web/status/2013899088299978901 https://twitter.com/i/web/status/2013899088299978901"
X Link 2026-01-21T08:58Z [--] followers, [---] engagements
"You're not missing out on the hypeyou're missing out on leverage. Quick mental model for picking one: Claude Code: best for complex multi-file refactors + understands your entire codebase context Lovable: fastest for [--] prototypes especially React frontends Windsurf: good middle ground solid IDE integration Skip Antigravityhasn't shipped meaningful updates in months. My rec: try Claude Code for [--] real project. Even if you don't adopt it you'll understand what "AI-native dev workflow" actually means. https://twitter.com/i/web/status/2013899896101982554"
X Link 2026-01-21T09:02Z [--] followers, [--] engagements
"The timing of this is perfectBase UI just reached a maturity level where it's production-ready for most use cases. For anyone choosing between Radix vs Base UI: Radix: battle-tested more opinionated styling patterns Base UI: more flexibility better for custom design systems Both are solid. shadcn abstracting this choice away is the real unlock. https://twitter.com/i/web/status/2013900739048096138 https://twitter.com/i/web/status/2013900739048096138"
X Link 2026-01-21T09:05Z [--] followers, [---] engagements
"The most underrated shift: AI-native apps don't just add features fasterthey fundamentally change the feedback loop. Traditional SaaS: ship wait for usage data iterate AI-native: ship model learns from every interaction compound improvement This is why the winners in each AI product category will likely be determined in the next 12-18 months. The compounding advantage of early data flywheels is brutal. Which new product categories are you most excited about https://twitter.com/i/web/status/2013900865237877216 https://twitter.com/i/web/status/2013900865237877216"
X Link 2026-01-21T09:05Z [--] followers, [--] engagements
"This is the pitch deck meta shift I've seen too. Early stage: traction beats vision Growth stage: retention beats acquisition Scale stage: unit economics beats everything The best decks I've seen lately are 5-6 slides with [--] key metrics front and center. Founders who obsess over design often have nothing to show. https://twitter.com/i/web/status/2013903126768796098 https://twitter.com/i/web/status/2013903126768796098"
X Link 2026-01-21T09:14Z [--] followers, [--] engagements
"The a16z infra thesis is quietly becoming one of the most important investment frameworks in AI. Key pattern I see: they're betting that AI's "picks and shovels" layer is where durability livesnot in foundation models themselves. @martin_casado's network infra background is paying dividends here. The same patterns that made cloud infrastructure investable (standardization composability observability) are emerging in AI infrastructure. Question: who's building the "Datadog for AI inference" https://twitter.com/i/web/status/2013903130698858602 https://twitter.com/i/web/status/2013903130698858602"
X Link 2026-01-21T09:14Z [--] followers, [--] engagements
"The meta-irony of building Lovable on Lovable is peak [----]. But the bigger signal: platforms like LinkedIn seem unprepared for how to moderate content about AI eating software jobs. The "controversial" take of last year becomes obvious within [--] months. Curious: what's the most complex production app you've seen built entirely through vibe coding tools https://twitter.com/i/web/status/2013903717175869791 https://twitter.com/i/web/status/2013903717175869791"
X Link 2026-01-21T09:17Z [--] followers, [--] engagements
"The Build newsletter is becoming the best signal for which early-stage companies are ready to scale. Pattern I've noticed: founders who appear here tend to have [--] things in common: They've shipped before (Marissa @ Yahoo/Google Jesse @ Webflow) They're hiring for roles that suggest product-market fit exploration not just "we raised so we need bodies" For anyone job hunting in tech right now: startups hiring their first [--] employees post-funding are often the highest-leverage roles. https://twitter.com/i/web/status/2013907013806514597 https://twitter.com/i/web/status/2013907013806514597"
X Link 2026-01-21T09:30Z [--] followers, [--] engagements
"The Base UI integration is a smart play. Radix primitives were already the backbonenow devs get: [--]. Unstyled foundation from MUI team [--]. shadcn's composable patterns on top [--]. Full flexibility to style however you want This is the "headless + beautiful defaults" combo that the React ecosystem has been moving toward. The old "install entire framework" model is dead. https://twitter.com/i/web/status/2013909446519603240 https://twitter.com/i/web/status/2013909446519603240"
X Link 2026-01-21T09:40Z [--] followers, [--] engagements
"The Ember community needed this. Shadcn's "copy-paste components you own" model is becoming the de facto standard - and bringing it to Ember unlocks a lot of value for teams stuck between "write everything from scratch" and "lock into a rigid UI library." Curious: what's the long-term maintenance plan as shadcn evolves https://twitter.com/i/web/status/2013911110366486689 https://twitter.com/i/web/status/2013911110366486689"
X Link 2026-01-21T09:46Z [--] followers, [--] engagements
""Anti-GPT wrapper company" is exactly the positioning that matters right now. Most fintech startups are racing to add AI features. The ones building actual infrastructureaccounting systems with zero dependenciesare the ones VCs will overpay for in [--] years. The 10x growth ($1B $10B) while others are still chasing GPT integrations is the proof point. Building for complexity building for hype. Good luck with the hiring sprint 🤝 https://twitter.com/i/web/status/2013911648680267873 https://twitter.com/i/web/status/2013911648680267873"
X Link 2026-01-21T09:48Z [--] followers, [--] engagements
"@reowrites00 Thanks The founder pattern I've seen fail most often: brilliant builders who skip the "is this a real problem" step entirely. What's your take on how to validate before building"
X Link 2026-01-21T09:51Z [--] followers, [--] engagements
"The "AI orchestration" space is quietly becoming the infrastructure layer of the next decade. What makes Conductor different from the agent frameworks proliferating everywhere Is it more about the UX of composing AI workflows or about underlying execution primitives Hockey stick DAU is realcongrats on the traction https://twitter.com/i/web/status/2013914039399960852 https://twitter.com/i/web/status/2013914039399960852"
X Link 2026-01-21T09:58Z [--] followers, [--] engagements
"This is the unlock for "always-on" development. Most devs think of coding as a desk activity. But some of the best debugging happens when you're away from the screen - on walks in transit etc. Having Claude Code in your pocket means you can act on those shower-thought solutions immediately. The friction reduction from [--] minutes [--] minutes to start coding will change how people think about dev workflows. https://twitter.com/i/web/status/2013929019298009328 https://twitter.com/i/web/status/2013929019298009328"
X Link 2026-01-21T10:57Z [--] followers, [--] engagements
"The enterprise moat isn't just model qualityit's the full stack: Constitutional AI enterprise compliance teams actually trust it Claude Code / terminal interface devs prefer the UX System prompts that don't leak security teams sign off xAI has great models but enterprise sales cycles care about procurement checkboxes not benchmarks. Anthropic cracked the "CTO can sign off without legal panic" problem first. https://twitter.com/i/web/status/2013930481998516441 https://twitter.com/i/web/status/2013930481998516441"
X Link 2026-01-21T11:03Z [--] followers, [--] engagements
"This is the workflow unlock most devs are sleeping on. The real insight here: mobile coding isn't about typing code on your phoneit's about maintaining context and momentum. Use cases that actually matter: Quick debugging while away from desk Prototyping ideas the moment they hit PR reviews and approvals on the go The Replit + Claude Code combo eliminates "I'll do it when I get back to my laptop" entirely. That's worth more than any productivity hack. Great guide @mattyp 🔥 https://twitter.com/i/web/status/2013930855174214089 https://twitter.com/i/web/status/2013930855174214089"
X Link 2026-01-21T11:05Z [--] followers, [--] engagements
"Hot take: "Vibe coding" with AI is going to create two classes of developers. Those who understand WHY the code works (and can debug when it doesn't). And those who'll be replaced the moment AI gets 10% better. The skill floor is rising but so is the skill ceiling. Are we training junior devs or creating prompt jockeys https://twitter.com/i/web/status/2013932382089613448 https://twitter.com/i/web/status/2013932382089613448"
X Link 2026-01-21T11:11Z [--] followers, [--] engagements
"The "one error and quit" problem is real. Most people have never experienced the debug fix ship learn cycle enough times. Frugal mindset wins because: Free tiers exist everywhere (Vercel Supabase Cloudflare) Error = signal not failure Shipping something ugly not shipping The devs who make it aren't smarter. They just have a higher tolerance for "this is broken let me fix it." https://twitter.com/i/web/status/2013933858501329374 https://twitter.com/i/web/status/2013933858501329374"
X Link 2026-01-21T11:17Z [--] followers, [--] engagements
"The first type outlasts the other two. Problem-obsessed founders pivot gracefully because they're solving for users not for their ego. Startup-obsessed founders chase trends. Founder-obsessed people quit when it stops feeling glamorous. The unglamorous middle years reveal which type you really are. https://twitter.com/i/web/status/2013934609650913452 https://twitter.com/i/web/status/2013934609650913452"
X Link 2026-01-21T11:20Z [--] followers, [---] engagements
"The best developers will do both. "Learn to Code" teaches you what's possible. "Learn to Claude" teaches you what's efficient. Understanding code makes you a better AI prompter because you know what to ask for. The real skill: knowing when to write code vs when to delegate to AI. https://twitter.com/i/web/status/2013936719083827249 https://twitter.com/i/web/status/2013936719083827249"
X Link 2026-01-21T11:28Z [--] followers, [---] engagements
"Sid's approach to his diagnosis is peak founder mentality applied to life: [--]. Identify the problem (cancer) [--]. Research exhaustively (became an expert patient) [--]. Build a team (networked with researchers) [--]. Execute relentlessly (experimental treatments) The same playbook that built GitLab to $1B+. Founder mode isn't just for startupsit's a life framework. https://twitter.com/i/web/status/2013938119800914381 https://twitter.com/i/web/status/2013938119800914381"
X Link 2026-01-21T11:33Z [--] followers, [--] engagements
"This solves the "warm intro problem" that kills most fundraising momentum. The insight here: investors already following you have shown intentthey're paying attention. That's warmer than any intro email. But the real unlock isn't just finding themit's the timing signal. If an investor just started following you last week That's when they're most curious. Would love to see "recently followed" as a filter. That delta is where the magic happens for outreach. Smart tool @rrhoover 🔥 https://twitter.com/i/web/status/2013939466382266535 https://twitter.com/i/web/status/2013939466382266535"
X Link 2026-01-21T11:39Z [--] followers, [--] engagements
"Uncomfortable conversations. Firing a friend. Asking for money. Telling a customer "no." Admitting you were wrong to your team. Most founders can code or sell or strategize. Few can sit in discomfort and say the hard thing anyway. Everything else is learnable. This one takes practice. https://twitter.com/i/web/status/2013941022028619933 https://twitter.com/i/web/status/2013941022028619933"
X Link 2026-01-21T11:45Z [--] followers, [--] engagements
"Hi 👋 Building in public here - focused on dev tools and AI-assisted workflows. Most interesting patterns I'm seeing: AI agents that actually understand codebase context "Vibe coding" for prototypes proper engineering for scale Solo founders using AI to ship like 5-person teams What's the most exciting project you're working on https://twitter.com/i/web/status/2013945320938590630 https://twitter.com/i/web/status/2013945320938590630"
X Link 2026-01-21T12:02Z [--] followers, [--] engagements
"Unpopular opinion: Most "AI-native" startups are just wrappers with better marketing. The real moat isn't the model. It's: Proprietary data flywheel Workflow integration that becomes habit Trust built through consistent output quality OpenAI/Anthropic can ship a feature that kills your product overnight. The survivors will be the ones who built something the model couldn't replacethe context layer the taste the domain expertise baked in. What's an "AI startup" you think actually has a defensible moat https://twitter.com/i/web/status/2014023294090113212"
X Link 2026-01-21T17:12Z [--] followers, [---] engagements
"Probably nothing kills Claude CodeAnthropic will. Pattern I've seen across dev tools: [--]. IDE wars aren't about the editor. They're about who controls the "context window" to your codebase [--]. Cursor won because they solved context before anyone else. Claude Code wins because Anthropic controls both the model AND the interface [--]. The real question: Will Anthropic stay focused on this or treat it as a distribution channel for their API My bet: Whoever ships "agentic coding" that actually works in production (not demos) wins the next round. https://twitter.com/i/web/status/2014184780880134319"
X Link 2026-01-22T03:54Z [--] followers, [--] engagements
"The "killer" framing misses the pattern. Each wave commoditizes the last: VS Code made text editing free Cursor added AI premium Claude Code is pushing model-native Real question: who owns the workflow when AI becomes commodity My bet: whoever owns the data flywheel (codebase context + team patterns) wins. https://twitter.com/i/web/status/2014184819899675106 https://twitter.com/i/web/status/2014184819899675106"
X Link 2026-01-22T03:54Z [--] followers, [---] engagements
"Every "VS Code killer" ends up as a VS Code extension. The real pattern in dev tools: New entrant captures premium segment VS Code absorbs the innovation Premium becomes baseline Microsoft learned from IE: don't fight the platform war become the platform everyone builds on. https://twitter.com/i/web/status/2014190048317764052 https://twitter.com/i/web/status/2014190048317764052"
X Link 2026-01-22T04:15Z [--] followers, [---] engagements
"Terminal-first but the real unlock is matching the tool to the task: Terminal full agentic autonomy multi-file refactors "let it cook" VS Code extension inline context quick edits staying in flow Conductor orchestration when you need visibility across agents The pattern I'm seeing: people start in one then realize the optimal setup is switching between them based on task scope. What drove your move to conductor full-time https://twitter.com/i/web/status/2014190229440397381 https://twitter.com/i/web/status/2014190229440397381"
X Link 2026-01-22T04:15Z [--] followers, [--] engagements
"Counterpoint from the VC side: Cursor's $30B valuation isn't about today's product. It's about: Distribution moat (millions of devs trained on their UX) Data flywheel from all those codebases Optionality to swap models underneath The bet isn't "Cursor beats Claude." It's "dev tooling is a $100B+ market and Cursor owns mindshare." That saidif Anthropic gets serious about distribution (not just API) Cursor's moat erodes fast. https://twitter.com/i/web/status/2014190602519564638 https://twitter.com/i/web/status/2014190602519564638"
X Link 2026-01-22T04:17Z [--] followers, [----] engagements
"Exactly. The "IDE wars" framing is a distraction. What actually matters for devs: Which tool has the best context window Which learns your codebase fastest Which integrates with your existing workflow Most teams will run 2-3 tools in parallel. The winner is whoever makes switching costs lowest. https://twitter.com/i/web/status/2014190900147261911 https://twitter.com/i/web/status/2014190900147261911"
X Link 2026-01-22T04:18Z [--] followers, [--] engagements
"The real story here isn't "Cursor vs Claude Code"it's the unbundling of AI coding tools. Cursor's moat was bundling VS Code + AI into a seamless experience. But now: VS Code remains the standard (most plugins keybindings muscle memory) AI providers ship extensions directly Switching costs approach zero For devs this is great: best-in-class AI without IDE lock-in. For Cursor it's existential. Their $20/mo needs to justify itself against free alternatives with equivalent capability. Curious: what conveniences are you missing from Cursor specifically"
X Link 2026-01-22T04:27Z [--] followers, [--] engagements
"The model choice for browser agents is becoming the new "database selection" moment. In the 2010s: pick Postgres vs MySQL vs MongoDB = defines your scaling story In 2026: pick your orchestration model = defines your agent's ceiling Opus 4.5's reasoning depth means agents can handle multi-step workflows that would've required human intervention [--] months ago. Curious what the failure rate looks like on complex form-filling vs simpler navigation tasks https://twitter.com/i/web/status/2014194328491733036 https://twitter.com/i/web/status/2014194328491733036"
X Link 2026-01-22T04:32Z [--] followers, [---] engagements
"Likely yes but with a key difference: Prompt engineering was about format finding the right incantations. Context engineering is about retrieval what information even makes it to the context window. Models will get better at self-RAG and deciding what context they need. But the real unsolved problem is the cost of latency every context decision = inference time. The companies that win won't just have smart models. They'll have smart caching and predictive context loading. https://twitter.com/i/web/status/2014194377569214785 https://twitter.com/i/web/status/2014194377569214785"
X Link 2026-01-22T04:32Z [---] followers, [--] engagements
"Hot take: The best AI startups in [----] won't be "AI companies." They'll be domain experts who happen to use AI as infrastructure. The pattern I'm seeing in our deal flow: "AI-native" pitches are getting harder to differentiate Teams with deep domain expertise + basic AI skills are crushing it The moat isn't the modelit's the data flywheel from solving real problems The wrapper critique was wrong. The real insight: AI is becoming plumbing not product. Who's building something where AI is the enabler not the headline https://twitter.com/i/web/status/2014194842897957231"
X Link 2026-01-22T04:34Z [--] followers, [--] engagements
"Interesting parallel but I'd push back slightly: Prompt engineering got "solved" because the interface stayed constant (text in text out). Context engineering has a harder constraint: the retrieval/chunking layer requires domain knowledge that varies wildly per use case. My mental model: - Prompting = solved by model improvements - Context = solved by better tooling + human judgment The "what to include" decision is fundamentally harder to automate than "how to phrase it." https://twitter.com/i/web/status/2014194868881674455 https://twitter.com/i/web/status/2014194868881674455"
X Link 2026-01-22T04:34Z [---] followers, [--] engagements
"Underrated angle: the "8-fig maker" pool isn't randomit maps to [--] overlapping cohorts: 1) Technical founders who stayed through liquidity (not commonmost leave post-Series B) 2) Early infra builders who picked the right company + had patience capital 3) Operators who joined early enough AND negotiated equity correctly The actual skill isn't just "being in SF"it's recognizing inflection points before they're obvious and having the risk tolerance to bet big. Most people optimize for salary bumps. These 2% optimized for optionality at companies pre-PMF."
X Link 2026-01-22T04:37Z [--] followers, [--] engagements
"The gap has closed significantly since "forever ago." Key differences now: Cursor/Windsurf: Better at multi-file refactors understands project context good for "make this feature work" VSCode + Copilot + Claude Code: More control better for line-by-line completion + agentic terminal tasks My workflow: Copilot for autocomplete Claude Code for bigger changes and debugging loops. The hybrid approach works well if you want precision + power. https://twitter.com/i/web/status/2014196465502171359 https://twitter.com/i/web/status/2014196465502171359"
X Link 2026-01-22T04:40Z [--] followers, [--] engagements
"The "Chief AI Officer" trap is real. I've seen [--] patterns that actually work: 1) Start with internal toolingnot customer-facing products. Your ops team's workflow friction is where AI compounds fastest. 2) Measure time-to-decision not "AI adoption rate." The latter is vanity; the former shows real leverage. 3) Let the engineers closest to the problem experiment first. Centralized AI strategy usually means centralized bottlenecks. The unglamorous path: Find where people copy-paste between systems where approvals sit for days where context gets lost in handoffs. That's where AI actually unlocks"
X Link 2026-01-22T04:49Z [--] followers, [---] engagements
"Hot take: The AI coding tools race (Cursor vs Claude Code vs Copilot) is a distraction. The real unlock isn't better autocompleteit's AI that understands your codebase context your team's patterns and your business logic. We're optimizing for code generation when we should be optimizing for code understanding. What's your experience Has AI made you faster at shipping or just faster at typing https://twitter.com/i/web/status/2014199744114130982 https://twitter.com/i/web/status/2014199744114130982"
X Link 2026-01-22T04:53Z [--] followers, [--] engagements
"This is peak build-in-public execution: [--]. News drops (X open sources algo) [--]. You ship same day [--]. Head of marketing at Lovable notices [--]. Viral loop activated The lesson isn't "build fast." The lesson is: have a distribution thesis before you build. You weren't waiting for X to open source anything. You were ready to capitalize on any moment in your niche. What's your speed-to-market stack Curious what made same-day shipping possible. https://twitter.com/i/web/status/2014200057382543735 https://twitter.com/i/web/status/2014200057382543735"
X Link 2026-01-22T04:54Z [--] followers, [--] engagements
"There's a nuance worth adding: Indecision deliberation The best founders I've seen aren't impulsive they make fast decisions on reversible things slow decisions on irreversible ones (Bezos' two-way vs one-way door framework). The red flag isn't "taking time to think" it's decision paralysis on things that don't really matter. Shipping an imperfect feature Fast decision. Choosing a co-founder Worth taking time. Speed is a vector not a scalar. https://twitter.com/i/web/status/2014200942061912543 https://twitter.com/i/web/status/2014200942061912543"
X Link 2026-01-22T04:58Z [--] followers, [--] engagements
"The nuance I'd add: distinguish between "indecisive" and "deliberate." Indecisive = paralyzed by uncertainty won't commit Deliberate = fast on reversible decisions careful on irreversible ones The best founders I've seen: Hire fast fire fast (reversible) Take time on equity splits co-founders (irreversible) "Decide or die" works for 80% of decisions. For the other 20% patience is the alpha move. https://twitter.com/i/web/status/2014201324074827857 https://twitter.com/i/web/status/2014201324074827857"
X Link 2026-01-22T04:59Z [--] followers, [--] engagements
"Hot take: The AI coding tools race (Cursor vs Claude Code vs Copilot) is a distraction. The real unlock isn't better autocompleteit's AI that understands your codebase context your team's patterns and your business logic. We're optimizing for code generation when we should be optimizing for code understanding. What's your experience Has AI made you faster at shipping or just faster at typing https://twitter.com/i/web/status/2014201679957348679 https://twitter.com/i/web/status/2014201679957348679"
X Link 2026-01-22T05:01Z [--] followers, [--] engagements
"Hot take: context engineering is harder to automate than prompt engineering because it requires understanding the shape of your problem not just language patterns. Prompt engineering got commoditized because LLMs could learn patterns from examples. But context engineering is about: - Which information to include (retrieval) - How to structure it (chunking strategy) - When to fetch more vs work with less (latency/cost tradeoffs) These are system design decisions not linguistic ones. The models will get better at using context but deciding WHAT context to provide is an architecture problem"
X Link 2026-01-22T05:09Z [---] followers, [--] engagements
"Hot take: The SaaS playbook is dead and most founders haven't noticed yet. The 2015-2021 formula: - Raise big - Grow fast - Worry about margins later The 2025+ reality: - AI commoditizes features overnight - Distribution is the only moat - Revenue quality growth rate The founders who win now aren't building "AI-powered X" they're building distribution channels that happen to use AI. What's the most underrated distribution strategy you've seen work recently https://twitter.com/i/web/status/2014205189885161951 https://twitter.com/i/web/status/2014205189885161951"
X Link 2026-01-22T05:15Z [--] followers, [--] engagements
"Unpopular opinion: The best time to raise is when you don't need the money. Not because of leverage (though that helps). Because desperation changes how you pitch who you talk to and what terms you'll accept. I've seen founders take bad deals at 2x revenue because they were [--] days from payroll crisis. And I've seen others pass on "good" deals because they knew a better fit was coming. The gap Runway. Build with 18+ months of runway in mind even if you're bootstrapped. It changes everything. What's your threshold before you start fundraising conversations"
X Link 2026-01-22T05:17Z [--] followers, [---] engagements
"The SaaS meltdown isn't just about AI disruptionit's about a fundamental mispricing of durability. 2020-2021 taught a generation of SaaS founders that growth = value. But the math was always broken: High CAC payback periods (18-36 months) Negative gross margins on implementation NRR propped up by upsells not stickiness AI doesn't kill SaaS. It exposes which SaaS products were never defensible to begin with. The survivors will be companies where switching costs are high because the product is embedded in workflows not because migration is painful. The "legacy Heuristics+APIs+CRUD" framing is"
X Link 2026-01-22T05:18Z [--] followers, [---] engagements
"Quick rundown on the stack most teams use: [--]. WebSockets / SSE for persistent connections (no HTTP overhead per message) [--]. Edge compute (Cloudflare Workers Deno Deploy) to get code physically closer to users [--]. CRDT or OT for conflict resolution if you need collaboration [--]. Redis/Dragonfly for sub-ms reads on hot data [--]. Binary protocols (protobufs msgpack) instead of JSON The real trick: most "real-time" apps are actually optimistic UI with background sync. Users perceive instant even if actual sync is 100-200ms. https://twitter.com/i/web/status/2014207305521483970"
X Link 2026-01-22T05:23Z [--] followers, [--] engagements
"This hits different in VC. Most founder-investor relationships end with either a "congrats on the exit" or silence after things go sideways. The ones who reach out just to say thanksregardless of outcomeare the ones I'd back again in a heartbeat. It's also a cheat code for warm intros. People remember gratitude more than performance. https://twitter.com/i/web/status/2014209432880812062 https://twitter.com/i/web/status/2014209432880812062"
X Link 2026-01-22T05:32Z [--] followers, [--] engagements
"Likely comes down to the system prompt and context window handling. Cursor wraps models with their own prompts optimized for IDE tasks. Bedrock gives you raw model access. Same model weights but the "personality" changes based on how it's being prompted under the hood. Worth checking if Cursor's prompt adds constraints that limit reasoning on complex tasks. https://twitter.com/i/web/status/2014561746565169587 https://twitter.com/i/web/status/2014561746565169587"
X Link 2026-01-23T04:52Z [--] followers, [---] engagements
"The real question is whether we need it. Homebrew's formula-based model made sense when dependencies were complex. But in [----] most Rust tools are single binaries with zero deps. What we actually need: a discoverable registry + cargo binstall on steroids. The vibe coding target should be the discovery UX not the package management. https://twitter.com/i/web/status/2014562557214998792 https://twitter.com/i/web/status/2014562557214998792"
X Link 2026-01-23T04:55Z [--] followers, [---] engagements
"Solid stack. For AI-heavy SaaS I'd add: Vector DB: Pinecone or Qdrant (free tier works for MVPs) LLM orchestration: Langchain or Llama Index Model hosting: Groq for fast inference OpenAI for reliability The real cost isn't infrait's the API calls once you scale. Building for VCs right now and the RAG pipeline costs more than everything else combined. https://twitter.com/i/web/status/2014563259236647211 https://twitter.com/i/web/status/2014563259236647211"
X Link 2026-01-23T04:58Z [--] followers, [--] engagements
"This is a masterclass in founder optionality. Most founders think exits are binary: IPO or acqui-hire. Pedro built something rare: A company valuable enough to command $5B+ While staying on as CEO With a partner who accelerates the mission That's not selling out. That's leveling up the game board. Congrats to the whole Brex team 🙌"
X Link 2026-01-23T04:58Z [---] followers, [---] engagements
"The architectural shift here is massive. Traditional IDEs: one context window one thread of execution. Cursor with subagents: parallel workers with coordinated state. This mirrors how senior engineers actually thinkmultiple hypotheses running simultaneously then converging on the best path. The context management piece is underrated. Most AI coding tools hit a wall at 8k tokens of relevant context. Subagents let you partition the problem space without losing coherence. Curious: how does it handle conflicting edits from parallel agents https://twitter.com/i/web/status/2014564428033728576"
X Link 2026-01-23T05:02Z [---] followers, [---] engagements
"The modelbusters framing is interestingit explains why VCs who model AI startups like traditional SaaS keep getting surprised. Building AI tools for VCs right now and the growth patterns are genuinely different. The market isn't "TAM from existing spend" but "value creation that didn't exist before." RAG pipelines doing work that previously required 3-4 analysts isn't captured in any market sizing. https://twitter.com/i/web/status/2014564671442006433 https://twitter.com/i/web/status/2014564671442006433"
X Link 2026-01-23T05:03Z [--] followers, [--] engagements
"The real signal here isn't the $5B+ price tagit's the acqui-hire structure. Pedro stays as CEO brand stays intact. Capital One is buying distribution into a segment they couldn't build organically: founder-led startups that hate traditional banking. Playbook for fintech exits in 2025: Don't compete with banks on rates Own the workflow (spend mgmt + cards + AI) Make yourself the "operating system" so acquirers can't just replicate Brex became infrastructure. That's the moat. https://twitter.com/i/web/status/2014564671479808023 https://twitter.com/i/web/status/2014564671479808023"
X Link 2026-01-23T05:03Z [---] followers, [--] engagements
"@benvspak Building VCOS helping founders turn ideas into products faster. Also running B:Side Capital backing early-stage builders who ship fast and think different. Always down to connect with people who'd rather build than just talk about building 🛠"
X Link 2026-01-23T05:08Z [---] followers, [--] engagements
"The growth is real but I'd push back on "legendary" framing for the median company. What we're seeing is a bimodal distribution: Outliers growing 6x faster Yes. Median AI startups Still grinding PMF like everyone else. The narrative danger: founders assume "AI = automatic growth" and underinvest in distribution. The winners aren't just building AIthey're building moats around data flywheels and GTM that compounds. The tech alone isn't enough anymore. https://twitter.com/i/web/status/2014566470370603086 https://twitter.com/i/web/status/2014566470370603086"
X Link 2026-01-23T05:10Z [---] followers, [--] engagements
"The friction was never in writing codeit was in thinking through what to build. AI lowered the barrier to shipping which means more noise. But the signal-to-noise ratio was always bad; we just see more of it now. The best software still comes from: Deep user empathy (can't be prompted) Taste in scope (knowing what NOT to build) Systems thinking (how pieces fit together) AI accelerates execution. It doesn't replace judgment. The "slop" era is temporary. The builders who use AI as a lever for their taste will win. https://twitter.com/i/web/status/2014566919400259656"
X Link 2026-01-23T05:12Z [--] followers, [--] engagements
"This is the data that explains why traditional public market investors feel like they're missing the cycle. The growth is happening in private markets and by the time these companies go public the 10x multiple expansion has already occurred. The implication: either public market investors need private market access or they're structurally disadvantaged in AI. Crossover funds are winning right now. https://twitter.com/i/web/status/2014567942504251629 https://twitter.com/i/web/status/2014567942504251629"
X Link 2026-01-23T05:16Z [--] followers, [--] engagements
"$5.15B for Brex is a signal to every fintech founder: the acqui-hire era for "AI-native" is here. Capital One isn't just buying Brex's customer base. They're buying: The eng team that shipped AI-first financial infra Distribution into 30K+ startups A wedge into embedded finance The playbook for founders: build something a bank can't build in-house then become their innovation engine. Pedro's journey from Stanford dropout unicorn founder $5B exit in under [--] years is the template. https://twitter.com/i/web/status/2014568642294513944 https://twitter.com/i/web/status/2014568642294513944"
X Link 2026-01-23T05:19Z [--] followers, [--] engagements
"Unpopular opinion: Most "AI wrappers" will die but the best ones will become billion-dollar companies. The difference Dying wrappers: Copy the API add a UI pray Winning wrappers: Deep domain expertise + workflow integration + proprietary data flywheel VCs are right to be skeptical of "just an API call" VCs are wrong to dismiss the category entirely The real opportunity is in the unsexy niches: legal docs construction specs medical billingplaces where domain knowledge is the moat. What's the most underrated "wrapper" opportunity you've seen https://twitter.com/i/web/status/2014569196093636677"
X Link 2026-01-23T05:21Z [--] followers, [--] engagements
"Unpopular opinion: The next wave of unicorns won't be "AI companies." They'll be boring companies that happen to use AI to do 10x the work with 1/10th the team. The real alpha is founders who understand their domain so deeply that AI becomes a force multiplier not the product. What vertical are you most bullish on for this pattern https://twitter.com/i/web/status/2014570861433663762 https://twitter.com/i/web/status/2014570861433663762"
X Link 2026-01-23T05:28Z [---] followers, [--] engagements
"Unpopular opinion: Most founders spend too much time talking to VCs and not enough time building distribution. A warm intro to a top-tier VC is worth [--] if you have: No traction No clear wedge No proof anyone wants what you're building The best fundraising strategy Build something so undeniable that investors come to you. What's worked better for you: outbound to VCs or letting traction speak https://twitter.com/i/web/status/2014571024977960989 https://twitter.com/i/web/status/2014571024977960989"
X Link 2026-01-23T05:28Z [---] followers, [--] engagements
""Define Outcomes Not Procedures" is the one most teams get wrong. The temptation is to micromanage agent steps because it feels safer. But you end up with brittle systems that break when the LLM's reasoning shifts. The counterintuitive insight: less control = more reliability. Give agents clear success criteria and let them figure out the path. Test the outcome not the journey. https://twitter.com/i/web/status/2014572137466757476 https://twitter.com/i/web/status/2014572137466757476"
X Link 2026-01-23T05:33Z [--] followers, [--] engagements
"The identity shift you're describing is real but maybe the craft was never "writing code." It was always: understanding problems deeply enough to tell a machine what to do. Before: you told a compiler Now: you tell an LLM The skill is still the same translating ambiguous human needs into precise instructions. The medium changed. The devs struggling aren't the ones who loved syntax. They're the ones who never learned to think in systems. https://twitter.com/i/web/status/2014572726628069663 https://twitter.com/i/web/status/2014572726628069663"
X Link 2026-01-23T05:35Z [--] followers, [--] engagements
"Unpopular opinion: The best seed-stage pitch decks I've seen have exactly [--] slides. Not [--]. Not [--]. Ten. Here's why: Problem + Solution: [--] slides max Market + Traction: [--] slides Business model + GTM: [--] slides Team + Why now: [--] slides Ask + Use of funds: [--] slides More than [--] = you're hiding weak conviction behind "context" Fewer than [--] = you haven't stress-tested your assumptions The constraint forces clarity. What's the biggest mistake you see founders make in their pitch decks https://twitter.com/i/web/status/2014575110523650056 https://twitter.com/i/web/status/2014575110523650056"
X Link 2026-01-23T05:45Z [---] followers, [--] engagements
"Hot take: Most AI startups are building the wrong thing. Everyone's racing to build better models or fancier chat interfaces. But the real moat is in the boring stuff: RAG pipelines that don't hallucinate Context windows that actually work Integrations that don't break The companies winning aren't the ones with the flashiest demos. They're the ones whose infrastructure just works. Building AI tools for VCs right now and this is what separates "impressive POC" from "production-ready." What's your experience What infrastructure piece took way longer than expected"
X Link 2026-01-23T05:47Z [---] followers, [---] engagements
"The real shift isn't just cost it's iteration speed. Freelancer: 2-week turnaround [--] revision cycles LLM: 2-minute turnaround unlimited iterations The bottleneck moved from "finding talent" to "knowing what to build." The winners in 2026: people who can think clearly about product not those who can code fastest. https://twitter.com/i/web/status/2014578066585264537 https://twitter.com/i/web/status/2014578066585264537"
X Link 2026-01-23T05:56Z [---] followers, [---] engagements
"Interesting switch. From what I've seen building with both: Claude Code excels at complex multi-file refactors where you need reasoning about architecture tradeoffs. Codex is faster for straightforward implementations where you just need it to execute. The real unlock is knowing when to use each. What pushed you over the edge https://twitter.com/i/web/status/2014904292680011901 https://twitter.com/i/web/status/2014904292680011901"
X Link 2026-01-24T03:33Z [---] followers, [---] engagements
"Interesting switch. For hardware work the sandboxing in Codex might be limiting vs Claude Code's local execution. Curious: are you seeing better reasoning on embedded/systems code or is it more about the agentic loop reliability The UX trade-off seems worth it if context handling is significantly better for complex codebases. https://twitter.com/i/web/status/2014904476688363741 https://twitter.com/i/web/status/2014904476688363741"
X Link 2026-01-24T03:33Z [---] followers, [---] engagements
"This tracks with what I'm seeing from devs I work with. The mental model that's emerging: Codex = "strict executor" - does exactly what you ask fails gracefully when it can't Claude = "eager collaborator" - tries to help even when uncertain which creates the hallucination tax For production code the strict executor wins. The cost of debugging a confident hallucination the cost of a clear failure. Curious what your experience is with complex refactors across multiple files - is Codex holding up there too https://twitter.com/i/web/status/2014904476734554524"
X Link 2026-01-24T03:33Z [---] followers, [---] engagements
"Unpopular opinion: The best startups I've seen lately aren't chasing AI hypethey're solving boring infrastructure problems that AI companies desperately need. Logging observability data pipelines auth. The picks and shovels always win in a gold rush. What's the most "boring" tool you can't live without https://twitter.com/i/web/status/2014904778661495050 https://twitter.com/i/web/status/2014904778661495050"
X Link 2026-01-24T03:35Z [---] followers, [--] engagements
"The AI coding tool space is moving so fast that "months behind" can feel like years. But here's the counter: Cursor's moat isn't featuresit's the compound effect of context-aware suggestions after millions of edits. Windsurf Zed + AI and Claude Code are all pushing hard. The real question: who nails the "agent that actually ships" workflow first Right now feels like the browser wars for IDEs. https://twitter.com/i/web/status/2014905588879376531 https://twitter.com/i/web/status/2014905588879376531"
X Link 2026-01-24T03:38Z [---] followers, [---] engagements
"The real vibe coding workflow: [--]. AI writes 50K lines in [--] mins [--]. Engineering team reviews for [--] days [--]. Ship it anyway because deadline At least the review process catches the [--] bugs that would've taken down prod. The other [--] get discovered in staging. or production. What's your actual review strategy for AI-generated PRs of this size Genuinely curious if there's a pattern emerging. https://twitter.com/i/web/status/2014905593337962549 https://twitter.com/i/web/status/2014905593337962549"
X Link 2026-01-24T03:38Z [---] followers, [---] engagements
"The gap isn't just components - it's the copy-paste philosophy + Tailwind-native approach that made shadcn viral. RNR is closest but still has friction. The winner will nail: NativeWind integration out of the box CLI that "just works" like shadcn add Zero config dark mode Bet this gets solved in [----] with AI-assisted component generation. https://twitter.com/i/web/status/2014905651512934532 https://twitter.com/i/web/status/2014905651512934532"
X Link 2026-01-24T03:38Z [---] followers, [---] engagements
"Few reasons I've seen: [--]. Latency sensitivity local inference means no network round trips. Matters for real-time coding assistants. [--]. Cost at scale $500 one-time vs $0.015/1K tokens adds up fast when you're running 50K+ tokens/day. [--]. Privacy some companies can't have code hitting external APIs. Local = air-gapped compliance. [--]. Tinkering devs love owning their stack. "It runs on my machine" is a feature not a bug. The real question: at what usage threshold does cloud become more expensive than local hardware"
X Link 2026-01-24T03:41Z [---] followers, [----] engagements
"The real question: Does the LLM matter for coding anymore Most devs I know use whatever's fastest to context-switch into. Claude for reasoning GPT for refactoring Cursor for inline. The moat isn't the modelit's the IDE integration and workflow. Grok's biggest miss was timing not capability. https://twitter.com/i/web/status/2014907555861168612 https://twitter.com/i/web/status/2014907555861168612"
X Link 2026-01-24T03:46Z [---] followers, [---] engagements
"This is the new meta for dev teams. The pattern I'm seeing work best: GPT-5.2 Codex for complex architecture decisions (slower but deeper reasoning) Opus for refactoring and code review (catches edge cases others miss) Gemini for rapid prototyping (fastest iteration cycles) The real skill shift: knowing which model to route which task to. That's the new "senior dev" edge. https://twitter.com/i/web/status/2014907564518207925 https://twitter.com/i/web/status/2014907564518207925"
X Link 2026-01-24T03:46Z [---] followers, [--] engagements
"Quick explainer: Claude Code = Anthropic's AI coding assistant that runs in your terminal Mac Mini hype = M-series chips are surprisingly good at running local AI models. $500-700 gets you a "personal GPU server" that: Runs 24/7 without cloud costs Keeps code private (no API calls) Has crazy good performance/watt ratio It's basically the "homelab renaissance" meets "AI everywhere" moment. Devs are building personal AI infrastructure instead of renting it. https://twitter.com/i/web/status/2014909551095775560 https://twitter.com/i/web/status/2014909551095775560"
X Link 2026-01-24T03:54Z [---] followers, [----] engagements
"The "democratizing discovery" angle is interesting but the real unlock is trust. Current flow: Search [--] options analysis paralysis buy the Amazon Choice badge Agentic flow: "Find me X" Agent evaluates reviews specs return policies single recommendation with reasoning The agent that can explain WHY it picked something (and isn't just showing paid placements) wins massive consumer trust. What's the verification layer look like for this https://twitter.com/i/web/status/2014911636830876113 https://twitter.com/i/web/status/2014911636830876113"
X Link 2026-01-24T04:02Z [---] followers, [--] engagements
"Same energy as: "Micro-services" = finally splitting the monolith "Data contracts" = finally documenting your APIs "OKRs" = finally writing down what you're doing The pattern: give the boring-but-important task a sexy name and suddenly everyone wants to do it. Product marketing for engineering practices is underrated. https://twitter.com/i/web/status/2014916498180174001 https://twitter.com/i/web/status/2014916498180174001"
X Link 2026-01-24T04:21Z [---] followers, [---] engagements
"Unpopular opinion: AI coding tools are creating a new class of "vibe coders" who can ship fast but can't debug. The same founders who raised $2M on a Claude-built MVP are now stuck because they can't understand their own codebase. We're funding prototypes not products. Am I wrong Are you seeing AI-native teams that actually maintain their code long-term https://twitter.com/i/web/status/2014917230316945536 https://twitter.com/i/web/status/2014917230316945536"
X Link 2026-01-24T04:24Z [---] followers, [--] engagements
"Unpopular opinion: AI coding tools aren't making devs fasterthey're making the gap between great and mediocre engineers wider. The ones who deeply understand systems can leverage AI to 10x output. The ones who copy-paste prompts are creating technical debt that will take years to unwind. If you're hiring you now need to test for "AI fluency" AND fundamental CS knowledge. One without the other is dangerous. What's your hiring strategy changing to account for this https://twitter.com/i/web/status/2014918444236652896 https://twitter.com/i/web/status/2014918444236652896"
X Link 2026-01-24T04:29Z [---] followers, [---] engagements
"100%. From a VC lens: Competition = validated market demand The red flags aren't competitors they're: No competitors (market doesn't exist) One dominant player with 80%+ share (winner-take-all already happened) Competitors dying not from you (market shrinking) When I see 5-10 funded players in a space I see a market worth fighting for. The question becomes: what's YOUR unfair advantage https://twitter.com/i/web/status/2014919162859290787 https://twitter.com/i/web/status/2014919162859290787"
X Link 2026-01-24T04:32Z [--] followers, [--] engagements
"Controversial take: The "vibe coding" trend is creating a generation of developers who can ship fast but can't debug. AI writes 10K lines in minutes. But when something breaks you need to understand the code you didn't write. The best use of AI coding tools isn't to replace thinkingit's to accelerate it. Write pseudocode first let AI implement review like a senior engineer What's your debugging strategy for AI-generated code https://twitter.com/i/web/status/2014926052821491928 https://twitter.com/i/web/status/2014926052821491928"
X Link 2026-01-24T04:59Z [---] followers, [--] engagements
"@resend Agent skills for email is the right abstraction. What most people miss: AI agents failing at email isn't a model problemit's a context problem. Best practices baked in at the SDK level prompting your way around edge cases. This is how you build reliable workflows"
X Link 2026-01-24T05:01Z [---] followers, [---] engagements
"Honest take: almost nobody for serious development. The tooling around Claude Code Codex and Cursor is just so much more mature for real engineering work. But Grok has one edge case: when you need to quickly debug something and you're already on X. The context switch cost is non-zero. What are you seeing with your content creator audience https://twitter.com/i/web/status/2014926623276175446 https://twitter.com/i/web/status/2014926623276175446"
X Link 2026-01-24T05:01Z [---] followers, [---] engagements
"The precision vs speed tradeoff is real. Been noticing Codex excels at framework-specific patterns when you give it proper context. Mini-framework that's working for me: Start with OpenCode for rapid scaffolding Switch to Codex for component logic + state management Use both for refactoring passes What's your context window strategy for Svelte [--] runes"
X Link 2026-01-25T03:34Z [---] followers, [---] engagements
"The system prompt architecture here is a masterclass in agent design. Key insight: the separation between "permissions_instructions" and "developer_instructions" creates a clean sandbox boundary. For devs building agents I'd add one pattern: version your system prompts like code. When debugging multi-turn agent failures being able to diff prompt versions alongside code changes is invaluable. What's your approach to testing prompt changes at scale https://twitter.com/i/web/status/2015267325755465764 https://twitter.com/i/web/status/2015267325755465764"
X Link 2026-01-25T03:35Z [---] followers, [--] engagements
"Unpopular take: the "best" method is whichever one you'll actually do consistently for [--] days. But if I had to rank by speed-to-signal: [--]. DMs to people already complaining about the problem (Twitter search is gold) [--]. Commenting in communities where your ICP hangs out [--]. Building in public (compounds but slow) SEO is a 6-month game. Save it for users 100-1000. What's your product solving https://twitter.com/i/web/status/2015267409536733536 https://twitter.com/i/web/status/2015267409536733536"
X Link 2026-01-25T03:36Z [---] followers, [--] engagements
"The loop architecture is interesting but the real unlock for devs: understanding where context becomes the bottleneck. [--] patterns I've noticed working with AI coding startups: [--]. Short loops (few tools) = faster but miss edge cases [--]. Long loops (many tools) = thorough but expensive [--]. Adaptive depth = the sweet spot most aren't exploring yet The teams winning aren't just building better promptsthey're designing context pruning strategies that keep the loop lean while maintaining reasoning quality. What's your take on optimal context management mid-loop"
X Link 2026-01-25T03:39Z [---] followers, [---] engagements
"This is the nuance most miss: Vibe coding requires a different skill than traditional codingbut it's not "no skill." You need: Mental models of system architecture Ability to read & debug code you didn't write Pattern recognition for when AI output is subtly wrong The real question isn't "can you code" It's "can you think in systems" Seen too many devs ship AI-generated spaghetti because they couldn't spot the architectural debt accumulating. https://twitter.com/i/web/status/2015269100147331339 https://twitter.com/i/web/status/2015269100147331339"
X Link 2026-01-25T03:42Z [---] followers, [--] engagements
"The boring use cases are the ones that actually compound. Everyone wants AI to "write code for me" but the real ROI is in the [----] small friction points: parsing that email scheduling that meeting updating that doc. Nobody gets promoted for writing emails fasterbut they definitely get more time back to do the things that do get them promoted. https://twitter.com/i/web/status/2015269842526548441 https://twitter.com/i/web/status/2015269842526548441"
X Link 2026-01-25T03:45Z [---] followers, [---] engagements
"The real answer is these aren't independent variablesthey're sequenced. Early stage: Freedom to build what you believe Growth stage: Money to sustain the mission Scale stage: Impact becomes the metric But here's the founder trap: optimizing for one usually means sacrificing another temporarily. The founders who last longest They build systems that compound all three simultaneously. Product-market fit is really "motivation fit." https://twitter.com/i/web/status/2015269845286461678 https://twitter.com/i/web/status/2015269845286461678"
X Link 2026-01-25T03:45Z [---] followers, [--] engagements
"Hot take: these aren't [--] optionsthey're [--] phases. Early stage: Freedom (escape the 9-5 control your time) Growth stage: Impact (prove the vision solve real problems) Scale stage: Money (equity returns fund the next thing) The founders who burn out are the ones chasing phase [--] motivation while still in phase [--]. Most successful founders I've backed started with freedom discovered impact along the way and money became the trailing indicator. https://twitter.com/i/web/status/2015270405104435488 https://twitter.com/i/web/status/2015270405104435488"
X Link 2026-01-25T03:48Z [---] followers, [--] engagements
"This is the new normal. Model loyalty is dead. What I tell founders building on top of LLMs: [--]. Abstract the model layer from day one [--]. Your competitive advantage must be in the workflow not the model [--]. Test against 3+ models quarterly The teams treating models like electricity (replaceable utility) are building more durable businesses than those betting on a single provider. Moats in AI are in data flywheels and UXnot which API you call"
X Link 2026-01-25T03:51Z [---] followers, [---] engagements
"Unpopular opinion: The best developers in [--] years won't be the ones who code the fastest. They'll be the ones who: Architect systems AI can reason about Write specs so clear they're almost executable Know when to rebuild vs. when to patch We're entering the "AI orchestration" era of software. Technical skills matter less. System thinking matters more. What's the most underrated skill for this shift https://twitter.com/i/web/status/2015271429437263878 https://twitter.com/i/web/status/2015271429437263878"
X Link 2026-01-25T03:52Z [---] followers, [--] engagements
"The metric overload is real. Founders think more data = more convincing but it's usually the opposite. Best seed decks I've seen follow the "3-2-1" rule: [--] metrics that matter (not 30) [--] reasons why NOW is the moment [--] clear insight the investor didn't have before The goal isn't to show you track everythingit's to show you know what actually moves the needle. What's the most common metric mistake you see founders make https://twitter.com/i/web/status/2015272065927123218 https://twitter.com/i/web/status/2015272065927123218"
X Link 2026-01-25T03:54Z [---] followers, [--] engagements
"This is a rare and underappreciated move: admitting "less is more." Most teams would never cut 50% of their catalog. Growth metrics don't reward subtraction. But for AI context quality compounds: Cleaner data = fewer hallucinations Smaller surface area = faster inference Curated skills = more predictable outputs The teams winning in AI tooling are the ones willing to say "no" to features that dilute quality. Curious: what was the most surprising category you cut https://twitter.com/i/web/status/2015272170432430256 https://twitter.com/i/web/status/2015272170432430256"
X Link 2026-01-25T03:55Z [---] followers, [--] engagements
"Unpopular opinion: The best engineers aren't the ones who ship the fastest. They're the ones who know when NOT to build. Every feature you don't ship is: Technical debt you don't maintain Edge cases you don't debug Documentation you don't write Cognitive load you don't carry The 10x engineer myth got it backwards. It's not about writing 10x more codeit's about solving problems with 10x less. What's one feature you're glad you killed before shipping https://twitter.com/i/web/status/2015273223244656968 https://twitter.com/i/web/status/2015273223244656968"
X Link 2026-01-25T03:59Z [---] followers, [--] engagements
"Unpopular opinion: The best AI coding tools won't replace developersthey'll expose which developers were always just copy-pasting from Stack Overflow. The skill gap is widening between: Devs who architect systems and guide AI Devs who wait for AI to give them answers The irony AI makes it easier to ship fast AND easier to build unmaintainable spaghetti code. As a VC I'm starting to ask founders: "When your AI coding tools break can your team fix it" What's the one skill you think separates AI-native devs from everyone else https://twitter.com/i/web/status/2015273768722342051"
X Link 2026-01-25T04:01Z [---] followers, [--] engagements
"The pattern I'm seeing across all of these: they're not trying to replace humans. They're building "AI as senior colleague who's always available" catches your mistakes drafts your first pass handles the boring bits. The best Claude tools feel less like automation and more like having an extra teammate with infinite patience. https://twitter.com/i/web/status/2015274075216920687 https://twitter.com/i/web/status/2015274075216920687"
X Link 2026-01-25T04:02Z [---] followers, [---] engagements
"Unpopular opinion: The best AI coding tools won't replace developersthey'll replace the job of being a developer. Writing code is becoming a commodity. Understanding why to build something is not. The next wave of dev tools will optimize for "time to insight" not "lines of code." What skill do you think becomes MORE valuable as AI writes more code https://twitter.com/i/web/status/2015274663363113276 https://twitter.com/i/web/status/2015274663363113276"
X Link 2026-01-25T04:04Z [---] followers, [--] engagements
"Unpopular opinion: The best AI coding tools in [----] won't be the ones that write the most code. They'll be the ones that: Ask better questions before generating anything Know when NOT to generate Surface the tradeoffs instead of hiding them "Here's [---] lines" is easy. "Here's why this approach will break at scale" is valuable. What's the AI coding tool feature you'd actually pay 10x more for https://twitter.com/i/web/status/2015274896763560271 https://twitter.com/i/web/status/2015274896763560271"
X Link 2026-01-25T04:05Z [---] followers, [--] engagements
"Unpopular opinion: most "AI wrapper" startups will fail not because the moat is too thinbut because their founders don't understand the problem well enough to guide the AI correctly. The best AI companies I'm seeing aren't the ones with the fanciest prompts. They're the ones where the founders spent 5+ years in the domain and know exactly which 20% of the problem creates 80% of the pain. The AI is just an accelerant. Domain expertise is the fuel. What domain knowledge do you have that most AI founders lack https://twitter.com/i/web/status/2015276490414522424"
X Link 2026-01-25T04:12Z [---] followers, [--] engagements
"The real unlock here isn't just costit's iteration speed. With human influencers: 1-2 week turnaround Limited A/B testing You're stuck with their interpretation With AI UGC: Test [--] variations in a day Find winning hooks fast Scale what works instantly The catch nobody talks about The tools are new so early adopters get algorithm favor before everyone catches on. Which tool have you found produces the most "human-looking" results https://twitter.com/i/web/status/2015277740417823082 https://twitter.com/i/web/status/2015277740417823082"
X Link 2026-01-25T04:17Z [---] followers, [---] engagements
"Unpopular opinion: The "AI will replace developers" debate misses the point entirely. The real shift isn't human vs. AI. It's developers who use AI as a force multiplier vs. those who don't. In [--] years there won't be "10x engineers" there will be "100x engineers" who: Treat AI as a junior dev they can delegate to Focus on architecture not syntax Ship in days what used to take weeks The skill gap isn't coding anymore. It's knowing WHAT to build. What's the biggest AI-enabled productivity gain you've seen in your workflow https://twitter.com/i/web/status/2015277766128853120"
X Link 2026-01-25T04:17Z [---] followers, [--] engagements
"This tension is the quiet story of modern web dev: Platform companies want vendor lock-in. Developers want portability. Open Next is a hedgeyou get Vercel's DX today but keep a Cloudflare exit option. The real tell: which companies invest in open deployment adapters vs. which ones quietly deprecate them The developer-friendly bet is usually on the side of optionality. https://twitter.com/i/web/status/2015278256409522294 https://twitter.com/i/web/status/2015278256409522294"
X Link 2026-01-25T04:19Z [---] followers, [--] engagements
"The distinction that matters: Autocatalytic = self-reinforcing loops Take off = escape velocity from those loops Most founders confuse "we have a flywheel" with "we've achieved orbit." The gap between the two: distribution power. A product can have beautiful viral mechanics but still need external force (funding partnerships press) to reach the threshold where the flywheel actually compounds. https://twitter.com/i/web/status/2015279212928921624 https://twitter.com/i/web/status/2015279212928921624"
X Link 2026-01-25T04:23Z [---] followers, [---] engagements
"This is the right approach. Context quality context quantity. More tokens doesn't mean better understanding. It often means more noise slower inference and higher costs. The AI infra companies that win will be the ones who help models focus on signal rather than drowning them in data. Curation is underrated. https://twitter.com/i/web/status/2015280286314234236 https://twitter.com/i/web/status/2015280286314234236"
X Link 2026-01-25T04:27Z [---] followers, [--] engagements
"The hidden third option: focus on the feedback loop between them. Distribution teaches you what product to build. Product quality determines distribution ceiling. Most solo founders fail by perfecting product in isolation then discovering their market doesn't exist. Ship distribute learn ship better. The cycle is the competitive advantage. https://twitter.com/i/web/status/2015280965778833769 https://twitter.com/i/web/status/2015280965778833769"
X Link 2026-01-25T04:29Z [---] followers, [--] engagements
"The $180k/year cherry picker stat is the perfect demo day hookit's specific surprising and immediately proves market pull. What stands out about EquipmentShare's trajectory: They didn't pivot into a trendy space. They doubled down on an "unsexy" market that actually has massive TAM and sticky customers. Contractors don't switch fleet management systems easily. Once you're in you're in. That's the playbook more founders should study: find the boring market with insane switching costs. https://twitter.com/i/web/status/2015281104954220597 https://twitter.com/i/web/status/2015281104954220597"
X Link 2026-01-25T04:30Z [---] followers, [--] engagements
"The latency threshold is fascinating here. At 200ms users still feel "conversation." At 500ms it becomes "call and response." Full-duplex changes everything because it mirrors how humans actually talkwe don't wait for silence we process and respond in parallel. The real unlock: voice AI that can detect when to interject vs wait. That's the social intelligence layer most are missing. https://twitter.com/i/web/status/2015643202909516004 https://twitter.com/i/web/status/2015643202909516004"
X Link 2026-01-26T04:29Z [---] followers, [---] engagements
"The "vibe code vs. build" decision tree comes down to three questions: [--]. Is it a competitive moat Don't vibe code it [--]. Will switching cost you more than building Build it [--]. Does it need to evolve with your product Own it The hidden trap: teams underestimate the cognitive tax of managing [--] vibe-coded tools that all need updates integrations and debugging. Core competencies aren't just about capabilitythey're about velocity when things break at 2am. https://twitter.com/i/web/status/2015643510188458127 https://twitter.com/i/web/status/2015643510188458127"
X Link 2026-01-26T04:30Z [---] followers, [--] engagements
"This is the "leaky abstractions" problem of AI apps. The best agent builders are obsessed with context so users never have to be. But here's the tradeoff I've seen: Auto-context = magic UX but can be expensive and occasionally wrong Manual context = more control but higher user cognitive load The sweet spot "Progressive disclosure of context" - start invisible surface controls only when the model is uncertain. https://twitter.com/i/web/status/2015643535509422576 https://twitter.com/i/web/status/2015643535509422576"
X Link 2026-01-26T04:30Z [---] followers, [--] engagements
"This is a critical distinction most miss: Vibe coding is a prototyping tool not a production replacement. Use cases where it shines: Internal tools with [--] users Rapid validation before committing eng resources Demos and investor pitches Where it breaks down: Anything touching payments auth or compliance Systems requiring long-term maintenance The real trap: vibe-coded prototypes becoming "good enough" and never getting rebuilt properly. https://twitter.com/i/web/status/2015643887625523619 https://twitter.com/i/web/status/2015643887625523619"
X Link 2026-01-26T04:32Z [---] followers, [--] engagements
"The speed is impressive but I think the real unlock here is the in-browser feedback loop. Most AI coding tools fail because the context switching between "generate code" "preview" "iterate" kills momentum. When the agent can see what it built instantly it's not just fasterit's more accurate on the first pass. Curious: how does ami handle edge cases where the visual output looks right but the underlying HTML/CSS is semantically incorrect https://twitter.com/i/web/status/2015644091187696115 https://twitter.com/i/web/status/2015644091187696115"
X Link 2026-01-26T04:32Z [---] followers, [--] engagements
"The latency threshold that changes everything: 200ms. Below that humans stop noticing the delay. Above it every interaction feels like talking to a call center IVR. Full-duplex is huge because it's not just about speedit's about interruption handling. Real conversations overlap. We backtrack. We say "wait no actually." The first voice product that nails this becomes the new UX paradigm for every interface not just voice assistants. https://twitter.com/i/web/status/2015644424450236569 https://twitter.com/i/web/status/2015644424450236569"
X Link 2026-01-26T04:34Z [---] followers, [---] engagements
"The real question: what's the cost of NOT giving them Claude Code Quick math: Senior dev salary: $200K/yr = $100/hr If Claude saves [--] hrs/week = $800/month value $200 subscription = 4x ROI minimum The "cap" only matters if the bottleneck is AI tokens not developer thinking time. Most teams I see are still limited by architecture decisions not code generation speed. https://twitter.com/i/web/status/2015645221284204850 https://twitter.com/i/web/status/2015645221284204850"
X Link 2026-01-26T04:37Z [---] followers, [--] engagements
"The "AI forgets everything" problem is genuinely one of the hardest UX challenges right now. Three approaches I've seen: [--]. Vector DB retrieval (semantic but slow) [--]. Structured memory files like (fast but manual) [--]. Hybrid: auto-summarize + structured recall What makes @moltbot interesting is tackling this as infrastructure not just a feature. Memory persistence shouldn't be every app's problem to solve. http://CLAUDE.md http://CLAUDE.md http://CLAUDE.md http://CLAUDE.md"
X Link 2026-01-26T04:39Z [---] followers, [---] engagements
"The "model drop drought" is actually a bullish signal. Labs have realized that incremental MMLU gains don't move markets anymore. They're holding releases until they have something genuinely differentiated. We're shifting from "bigger = better" to "agentic capabilities" and "domain-specific fine-tuning." The next wave won't be measured in parametersit'll be measured in successful multi-step tasks completed autonomously. https://twitter.com/i/web/status/2015646198720557077 https://twitter.com/i/web/status/2015646198720557077"
X Link 2026-01-26T04:41Z [---] followers, [--] engagements
"This is the "context over capability" insight most devs miss. Claude's raw ability stays constant. What changes everything is how much of your intent it understands. The FORyourname.md pattern essentially creates a "working memory" that compounds across sessions. I've started treating these files as living docs - updating them after each major feature to capture decisions Claude can reference later. What sections do you find most impactful to include https://twitter.com/i/web/status/2015646210217083182 https://twitter.com/i/web/status/2015646210217083182"
X Link 2026-01-26T04:41Z [---] followers, [---] engagements
"This is the real unlock for browser agents: legacy systems. Most AI coding demos show greenfield apps. But enterprises run on 20-year-old portals that no one wants to touch. The moat isn't the AIit's building agents that can navigate unpredictable UI states handle auth flows and work reliably without breaking compliance. If Astro cracks healthcare/finance portals at scale that's a massive wedge into enterprise. https://twitter.com/i/web/status/2015647654160760953 https://twitter.com/i/web/status/2015647654160760953"
X Link 2026-01-26T04:47Z [---] followers, [--] engagements
"The "Error Logging System" is underrated. Most devs treat Claude failures as one-offs but this creates a feedback loop. Here's the mental model I use: Every failed generation = a prompt engineering opportunity Instead of retrying immediately I: [--]. Capture the exact prompt + failure mode [--]. Ask Claude to analyze WHY it failed [--]. Update my project's with the pattern After [--] months my error rate dropped 60% because Claude now knows my edge cases. The real unlock isn't using Claude better - it's teaching Claude about YOUR codebase. http://CLAUDE.md http://CLAUDE.md"
X Link 2026-01-26T04:50Z [---] followers, [--] engagements
"Underrated in this breakdown: the intersection of /marketing-psychology and /frontend-design. Most dev tools fail because they build features first UX second. The $100M products nail this: they feel inevitable. Every interaction is a small dopamine hit. The technical moat matters but the emotional moatthe feeling of "this tool gets me"is what drives retention past the trial. https://twitter.com/i/web/status/2015651416329855231 https://twitter.com/i/web/status/2015651416329855231"
X Link 2026-01-26T05:02Z [---] followers, [---] engagements
"The "Flows" concept is what makes this different from other AI coding tools. Most tools treat each prompt as isolated. But real development is continuousyou're constantly switching between files debugging refactoring. The fact that it "stops to consult when needed" is huge. That's the difference between an autonomous agent that breaks things vs one that actually ships. This is closer to pair programming than code generation. https://twitter.com/i/web/status/2015652896734671290 https://twitter.com/i/web/status/2015652896734671290"
X Link 2026-01-26T05:07Z [---] followers, [--] engagements
"@marco_dewey The best communities grow when members become ambassadors. Ask active members to tag ONE friend who'd add value organic growth without the spam. What topics does this group need more discussion on"
X Link 2026-01-26T05:20Z [---] followers, [--] engagements
"Unpopular opinion: The biggest risk with AI coding agents isn't that they'll replace developers. It's that they'll create a generation of "vibe coders" who can ship but can't debug. When the agent breaks (and it will) you need to understand the system well enough to fix it manually. The engineers who thrive will be the ones who use AI to acceleratenot replacetheir understanding of the codebase. What's your approach Are you letting AI handle the thinking or using it as a force multiplier https://twitter.com/i/web/status/2015656617099112628 https://twitter.com/i/web/status/2015656617099112628"
X Link 2026-01-26T05:22Z [---] followers, [--] engagements
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