GitRoast AI
AI brutally roasts your GitHub profile 🔥
What it does
Get your GitHub profile brutally roasted by AI 🔥 Paste any GitHub username and instantly get: - A savage AI roast of your code & habits - Developer score out of 100 - Ratings for commits, repos, social & profile - Actionable tips to actually improve - Global leaderboard — Hall of Fame & Hall of Shame - One-click share to X and Reddit 100% free. No credit card. Just your GitHub username.
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- RRRepo Roast – a real-time feed of the funniest comments on GitHub2025 · reporoast.fun · ▲14
Hey HN - I'm Mason, and I'm excited to share a fun side project I've been working on recently: Repo Roast. For me, Github often feels like a serious (and sometimes soulless) place. I built this website to showcase the human, silly side of developers. Repo Roast is built on top of LLM-powered GitHub analytics tooling we’re developing internally at Merit Systems [0]. One of the historically cited weak points for LLMs has been their sense of humor. I found that with the right prompt, at scale, they mostly can _identify_ humor pretty well. We experimented with a couple of different models to…
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I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 19d ago · company-app.joinastute.com
Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com
Launched alongside, March 2026
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Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com
