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@ProdmohAI Avatar @ProdmohAI Prodmoh

Prodmoh posts on X about ai, spec, vibe coding, slack the most. They currently have XX followers and XX posts still getting attention that total XXX engagements in the last XX hours.

Engagements: XXX #

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Mentions: XX #

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Followers: XX #

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CreatorRank: XXXXXXXXX #

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Social Influence

Social category influence social networks stocks technology brands finance luxury brands automotive brands

Social topic influence ai, spec #89, vibe coding #287, slack #110, business, debt, mcp server #19, loops #411, fine, devs #572

Top accounts mentioned or mentioned by @lolasasfi @cursorai @pferragu @a16z @egavrilenko11 @omarsar0 @asmartbear @carolpoll @accenture @prodmohcom @joshrg @nikunj @joschuabuilds

Top assets mentioned Accenture (ACN) Alphabet Inc Class A (GOOGL) Microsoft Corp. (MSFT)

Top Social Posts

Top posts by engagements in the last XX hours

"100%. We're in the 'Cambrian Explosion' phase right now. Most of these aren't companies; they're just features waiting to be absorbed by VS Code or GitHub. The survivors won't be the ones that write code the fastest but the ones that actually integrate into the messy human workflow"
X Link 2025-12-08T15:21Z XX followers, XXX engagements

"Gemini X Thinking is absolutely cracked for deep research. Its not just text generation anymore; its actual synthesis. Were currently benchmarking these reasoning models for the core engine at prodmoh the ability to take messy feedback and structure it into a cohesive product strategy is finally getting 'human-level'"
X Link 2025-12-08T16:44Z XX followers, XXX engagements

"Building something but cant get your product spec feature idea or feedback analysis right Reply with your biggest hurdle. Ill run it through ProdMoh and send back a clean clear execution-ready version free. Your product deserves momentum"
X Link 2025-12-03T06:53Z XX followers, XX engagements

"Were moving from autocomplete for code to autonomous goal-seeking agents. The missing piece A shared context layer. Just published a deep dive on how MCP + Prodmoh give agents the semantic awareness theyve always lackedand why this shift will redefine software engineering"
X Link 2025-12-07T15:32Z XX followers, XX engagements

"Vibe coding is fun for weekend hacks. It is lethal for enterprise software. Burning $150/hr engineering cycles on "vibes" isn't velocityit's technical debt with a turbo button. Enterprise scale demands structure not guesses. The next 10x unlock isn't faster coding; it's an AI Product Intelligence Layer that ensures the code actually solves the right problem. Stop optimizing the typing. Start optimizing the thinking. #Engineering #SaaS #EnterpriseSoftware #EnterpriseAI"
X Link 2025-12-08T21:04Z XX followers, XX engagements

"Most enterprise AI projects dont fail at the model stage they fail at the adoption stage. Vibe coding doesnt work in enterprise software. If teams cant turn messy workflows and scattered feedback into precise requirements AI pilots never make it to production. The product layer is the bottleneck"
X Link 2025-12-09T15:54Z XX followers, XX engagements

"1M context window means we can finally feed the entire history of user feedback bug reports and analytics into the Agent without truncation. Capacity is solved. The next challenge is curation. Were using this to ensure your product agents don't just know how to recommend features but exactly why and what to build based on real user data"
X Link 2025-12-09T19:06Z XX followers, XX engagements

"The shift is already happening.Right now too many Product Managers are stuck in "Task Mode"triaging tickets formatting PRDs and organizing backlog chaos.We built ProdMoh to automate that layer. By letting AI handle the "admin" PMs are finally freed up to do the "Leadership" and "Negotiation" work that MGI identifies as critical"
X Link 2025-12-10T13:55Z XX followers, XX engagements

"Closing a 100-comment PR isn't a rush. It's a relief. XXX comments usually means the Requirements were vague so the Code Review became a Design Review. We believe the 'Review' should happen at the Spec level not the PR level. Use ProdMoh to align on the PRD before the code is written. Then the PR is just a formality not a debate club"
X Link 2025-12-10T16:40Z XX followers, XX engagements

"Cursor and OpenAI XXX Codex solved the building part of software. But knowing what to build still determines whether a sprint becomes meaningful progress or expensive waste. AI accelerates output. But your inputs customer pain workflow blockers support patterns recurring bugs still determine ROI. Most teams dont need faster engineering. They need clearer signals from their users. Thats exactly what ProdMoh turns into ready-to-build specs"
X Link 2025-12-10T20:21Z XX followers, XX engagements

"Agreed. The velocity is insane right now. But speed without direction just means shipping bugs faster. We built the ProdMoh MCP server for exactly this momentto pipe real User Context (Bugs/Specs) directly into that Composer window. Cursor handles the "How." We handle the "Why.""
X Link 2025-12-10T11:59Z XX followers, XXX engagements

"Co-improvement. keeping humans wired into the reasoning loop." This is the exact architectural philosophy behind ProdMoh. We don't believe in "Fire and Forget" agents that drift. We believe in high-bandwidth context loops where the AI accelerates human intent (via MCP) but the human constantly shapes the boundary conditions (via Feedback/Specs). We aren't building replacements. We're building exocortices"
X Link 2025-12-10T14:19Z XX followers, XXX engagements

"This turns the IDE into a full Engineering Team. But a team of async agents needs a Manager or you just get parallel chaos. We view ProdMoh as that "PM Layer" for the fleet. You feed the Main Agent the Product Spec (via MCP) and it dispatches subagents with clear context-aware mission briefs. Don't just run agents in the background. Lead them"
X Link 2025-12-10T15:51Z XX followers, XXX engagements

"Recursively building an agent with an agent is the ultimate leverage. But a recursive loop without direction just amplifies noise. We see ProdMoh as the Context Injection for that loop. You build the Agent (The Hands). We provide the Spec (The Map). That's how you get valid alpha not just valid syntax"
X Link 2025-12-10T15:54Z XX followers, XXX engagements

"Slack is where context goes to die. Tagging Claude in a thread is fast but Slack messages are usually messy fragmented and full of implied knowledge. The Safe Workflow:Slack (Trigger) ProdMoh (Structure & Spec) Claude (Code). Don't let your coding agent build off a typo in a DM. Sanitize the instructions first"
X Link 2025-12-10T16:13Z XX followers, XX engagements

"You started building with Cursor/Windsurf and it felt like magic. But now You're spending more time fixing the AI's code than it took to generate it. You fix one bug and the AI creates two more. Its not the model getting dumber. Its your context getting thinner as your product gets complex. Im helping founders unclog this bottleneck by structuring their inputs. If your AI dev is hallucinating send me the feature you're trying to build. Mail me at info@prodmoh.com"
X Link 2025-12-11T06:54Z XX followers, XX engagements

"Spot on. True long-term business relationships are measured in decades not quarters. The signals are rarely immediate and the path to a "meaningful return" can be exceptionally long. What truly endures is the quality of the connection and the inherent value derived from that shared journey irrespective of the timeline for financial payoff. A strong reminder to cultivate deeply"
X Link 2025-12-11T14:51Z XX followers, XX engagements

"@_joshrg @cursor_ai That disintegration effect is satisfying. Complex UI interactions are usually where I get stuck in loops with AI. I have been using stitch by Google it has worked fine"
X Link 2025-12-11T15:03Z XX followers, XXX engagements

"@nikunj That's a sharp observation. The emotional labor in venture capital balancing aggressive optimism with essential reassurance is a critical often understated 'rubber duck' function that founders implicitly rely on when amplitude is high"
X Link 2025-12-11T16:38Z XX followers, XXX engagements

"The 'lost in Slack' problem is why we stopped relying on threads entirely. We set up a ProdMoh form that acts as the single funnel: every bug report and support ticket is automatically ingested and converted into a structured product idea. It forces every piece of feedback to land on the roadmap (or be explicitly rejected) rather than dying in a DM"
X Link 2025-12-11T17:02Z XX followers, XX engagements

"Your first 1050 customers will tell you exactly what to build. Your team just struggles to turn those requests into clear specs. ProdMoh takes the messy customer ask and turns it into a ready-to-code engineering spec your devs (or AI agent) can ship immediately. This is how early-stage teams move fast"
X Link 2025-12-12T05:33Z XX followers, XX engagements

"Incredible execution. The shift from 'Chatbot' to 'System of Record' is the winning playbook. Serval is conquering the IT/Ops ticket layer. We see the exact same opportunity in the Product/Eng layer. We use ProdMoh to automate the 'Ticket-to-Spec' pipeline for developers turning raw backlog chaos into structured work just like Serval does for IT"
X Link 2025-12-12T05:47Z XX followers, X engagements

"This is great for fixing the Education. But we also use those transcripts to fix the problem. We pipe the bugs support tickets into ProdMoh to extract the friction points and auto-generate the Feature Spec or Bug Report. Writing an article is good; shipping the fix that makes the article unnecessary is better. Thanks for sharing"
X Link 2025-12-12T05:51Z XX followers, X engagements

"Microsoft adoption is the signal. But 'Vibe Coding' at that scale needs a backbone. You can't have 100k employees vibing in different directions. Thats where we see ProdMoh fitting in. It takes that raw 'vibe' and converts it into a structured Spec/PRD. It allows the enterprise to move with the speed of an agent but the consistency of a standard. Thanks for sharing"
X Link 2025-12-12T05:56Z XX followers, XX engagements

"Daejun Parks prediction on 'From code is law to spec is law' is the most critical insight here. He argues that security needs to move from 'bug patterns' to 'design-level properties'. This is exactly why we built ProdMoh. In the AI era you can't just audit the code; you have to enforce the Spec. We use ProdMoh to define those global invariants and Acceptance Criteria upfront ensuring the 'Law' is baked into the agent's instructions before it writes a single line"
X Link 2025-12-12T06:19Z XX followers, XX engagements

"@JoschuaBuilds B2C = Fighting for Attention (Distribution). B2B = Fighting for Utility (Value). You can't write a technical spec that guarantees a teenager thinks your app is cool. You can write a spec that guarantees a business saves XX hours"
X Link 2025-12-12T06:26Z XX followers, XX engagements

"100%. Ideas are a commodity; Execution is the differentiator. If XX teams are building the same thing the winner is the one who navigates the complexity fastest. We focus on Clarity as our moat. We use ProdMoh to define strict PRDs and Acceptance Criteria upfront. It lets us execute linearly while the other X teams are stuck going in circles trying to figure out 'what' to build"
X Link 2025-12-12T06:30Z XX followers, XX engagements

"Everyones talking about AI engineers Cursor agents and GPT-5.2 coding entire features But nobodys talking about the real bottleneck: What should the AI build Early-stage teams still have: messy customer requests vague Slack notes unclear specs deals blocked on feature clarity ProdMoh fixes the input layer. Customer request clean spec AI agent builds shipped. This is the real AI-native PMF loop"
X Link 2025-12-12T07:55Z XX followers, XX engagements

"AI coding is solved (Cursor GPT-5.2 Windsurf). AI workflows are solved (MCP). Dev velocity is solved. The only thing still broken Turning customer feedback into build-ready specs. ProdMoh closes that gap. Raw support tickets PRDs Sales call notes user stories Slack chaos structured context in your IDE AI engineering only works if the instructions are right. ProdMoh writes the instructions"
X Link 2025-12-12T12:05Z XX followers, XX engagements

"AI can write the code now. Your job is figuring out what to build. But founders still drown in: support tickets customer asked for X Slack chaos unclear requirements engineering asking for context ProdMoh uses AI to turn all of that into clean ready-to-build specs your devs (or Cursor agent) can ship immediately. AI is the output layer. ProdMoh is the input layer"
X Link 2025-12-12T13:29Z XX followers, X engagements

"Exactly. Vibe coding is fine for a paper airplane but terrifying for a XXX. If you want to fly a real product you need a Flight Plan. We use ProdMoh to generate that plan (Specs & Acceptance Criteria) before takeoff. It ensures the pilot (the AI) knows exactly where it's going and how to fly the machine safely"
X Link 2025-12-12T13:45Z XX followers, XX engagements

"Stop vibe coding blindly. Everyone is showing you how to code faster with Cursor Claude opus GPT and Gemini. Nobody is showing you how to code safer. Speed without specs just means you are generating technical debt at light speed. We fixed the upstream bottleneck. Introducing the new ProdMoh Workflow: X. Ingest the Chaos - Don't guess. We auto-convert messy support tickets and feedback into structured specs. X. The "Constitution" (MCP) - We now support Model Context Protocol. We inject strict Acceptance Criteria directly into your agent's brain. No drift. No hallucinations. X. One-Click"
X Link 2025-12-12T14:40Z XX followers, X engagements

"Couldn't agree more. The gap between 'Figma' and 'Production' is where the actual UX lives (and dies). But to truly have agency in the codebase you need to control the Logic not just the visuals. We use ProdMoh to give designers that power. It allows them to define the strict Specs and Acceptance Criteria upfront then generate the AI prompts to build it. It lets the designer drive the implementation without needing a CS degree"
X Link 2025-12-12T14:54Z XX followers, XX engagements

"The 'Strategy' layer is officially commoditized. But McKinsey's output was usually a slide deck. The real money is made in the Execution. Once Gemini gives you the 'Market Opportunity' you have to build it. We use ProdMoh for that next stepturning those strategic insights directly into rigorous PRDs and AI Coding Prompts. Don't just analyze the market; ship the feature that wins it"
X Link 2025-12-12T15:25Z XX followers, XX engagements

"Opus XXX is the Ferrari engine weve been waiting for. But a V12 engine with bad fuel still stalls. To get that "10x" output on complex workflows like Grant Proposals or Policy Generation you can't just feed it a 2-sentence prompt. You need to feed it the entire context of your org. We built ProdMoh to be the "Context Injector" for Opus 4.5structuring your messy internal data so the model actually knows who it's writing for"
X Link 2025-12-10T15:08Z XX followers, XXX engagements

"Remote MCP support is the game changer here. Imagine a background agent that doesn't just 'guess' what to do but pulls its own requirements via MCP. Were exploring exposing ProdMoh PRDs as an MCP server so the agent can constantly 'check the spec' against the source of truth while it executes"
X Link 2025-12-11T17:08Z XX followers, XXX engagements

"Love the visibility on 'At Risk MRR.' But knowing they are at risk is only half the battle. You have to ship the feature that saves them. We view ProdMoh as the companion to this. You identify the 'At Risk' cohort here then use ProdMoh's Customer Pulse to pinpoint exactly what feature they are screaming forand auto-generate the Spec to build it"
X Link 2025-12-12T15:02Z XX followers, X engagements