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[@Leoreedmax](/creator/twitter/Leoreedmax)
"Heres how it happened:I asked @genspark_ai to analyze POP MART like an investor growth valuation and the Labubu phenomenon. Five minutes later it handed me this: A full investor deck with market logic data precision and visual polish that rivals human analysts. No edits. No filler. Just insight. This is not AI writing. Its AI due diligence compressed into slides"  
[X Link](https://x.com/Leoreedmax/status/1976572019975340198) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-10T08:54Z 78.2K followers, 96.3K engagements


"Everyone talks about local LLMs. Few actually live with them. Ive been running both Ollama and Llama .cpp for the past month not benchmarks but real workflows. ⚙ @ollama feels like engineering done right. Instant setup model registry memory isolation its what youd ship with if uptime matters. The tradeoff: you stay inside their rails. 🧩 @llama .cpp is the opposite. You control everything quantization layers GPU backend. Its raw noisy but transparent. It teaches you how inference really breathes. On my machine: -Ollama boots a 7B model in 2.2s; Llama.cpp in 3.0s. -Ollama streams cleaner;"  
[X Link](https://x.com/Leoreedmax/status/1978700564734280168) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-16T05:52Z 78.2K followers, 70.2K engagements


"Everyone talks about AI access. Few talk about AI ownership. Thats why @ollama matters. Models that actually live on your machine. No cloud dependency no latency tax no hidden training. I deployed Gemma X locally uploaded a four-panel photo I made about lunar phases and asked the model to analyze the pattern. It didnt just describe it. It told me where to go next: Expand on one phase in detail or discuss how lunar gravity shapes tides and orbits. No lag. No data leaving my device. Just a private reasoning loop fully mine. Youre not renting intelligence youre running it. And that changes how"  
[X Link](https://x.com/Leoreedmax/status/1978077357941625304) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-14T12:36Z 78.2K followers, 98.7K engagements


"Everyone talks about local LLMs. Few actually live with them. Ive been running both Ollama and Llama .cpp for the past month not benchmarks but real workflows. ⚙ @ollama feels like engineering done right. Instant setup model registry memory isolation its what youd ship with if uptime matters. The tradeoff: you stay inside their rails. 🧩 @llama .cpp is the opposite. You control everything quantization layers GPU backend. Its raw noisy but transparent. It teaches you how inference really breathes. On my machine: -Ollama boots a 7B model in 2.2s; Llama.cpp in 3.0s. -Ollama streams cleaner;"  
[X Link](https://x.com/Leoreedmax/status/1978691267191357784) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-16T05:15Z 78.2K followers, 16.2K engagements


"@TalentedTargets @ollama @jandotai I'll try it then"  
[X Link](https://x.com/Leoreedmax/status/1978707041033114015) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-16T06:18Z 78.2K followers, XXX engagements


"Built a fully functional secure MCP server on no code no scripts just native workflows. It started as a test. I wanted to see if a no-code stack could actually handle permission logicAPI security and real-time updates without breaking architecture. Turns out it can if you design it like an engineer not a hobbyist. The hardest part wasnt the tech. Im writing a short breakdown on how I built it: auth flow rate limiting webhook orchestration and fail-safe recovery all inside Bubble. Anyone curious to see how it actually works #nocode #MCP #Bubble #buildersnotes #AItools"  
[X Link](https://x.com/Leoreedmax/status/1980150231749824517) [@Leoreedmax](/creator/x/Leoreedmax) 2025-10-20T05:52Z 78.2K followers, 34.9K engagements