ReadyGen
Auto-generate README, API docs & changelogs with AI
What it does
ReadyGen connects to your GitHub, GitLab or Bitbucket repo and generates professional documentation in seconds using AI: README, API Docs, Changelog, inline code comments, OpenAPI spec, and JS/Python SDKs. 🔄 Push & Forget — docs auto-update on every commit. 🌍 5 UI languages, 30+ programming languages supported. Free plan available — no credit card required.
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Hi guys! While working in teams, internal documentation is important. But the problem is, writing it takes much time. It doesn't end there, keeping them up-to-date is a big deal as well. I built this simple tool that analyzes your codebase and automatically generates documentation right into your Github repo. Whenever you make a new commit, it analyzes the updates and modifies the existing docs to keep them up-to-date. That means, you don't need to spend time struggling with docs again. And, the new hire won't stare at the senior for that huge undocumented codebase. It works for any team…
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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.
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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…
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Launched alongside, June 2026
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Today, I’m proud to announce Homebrew 6.0.0. The most significant changes since 5.1.0 are a new tap trust security mechanism, the new faster, smaller, default internal Homebrew JSON API, sandboxing on Linux, better defaults informed by our user survey, many brew bundle improvements, improved performance and initial support for macOS 27 (Golden Gate). Happy to discuss any questions here!
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