UsageAtlas
Track your AI coding usage, trends, insights in one place.
What it does
Local-first AI usage tracker for Codex, Claude Code, Cursor, and OpenCode. Tokens, costs, limits, and reset times in one dashboard that stays on your machine. Open-source desktop app to easily understand all your AI coding usage tracking, trends, insights, analytics, tokens, cost, remaining limits, reset times etc.. across different AI Coding Tools, in one simple app. Stays on your machine. No account.
Local-first AI usage tracker for Codex, Claude Code, Cursor, and OpenCode. Tokens, costs, limits, and reset times in one dashboard that stays on your machine.
Know what your AI coding actually costs, how close you are to each limit, and where your usage is heading. Tokens, requests, models, and cost across your tools, in one running total. Runs on your machine. Your usage data stays on this computer, and analytics stay off until you switch them on. A source ships only once its sign-in path, its error handling, and its adapter tests are finished, so everything below is pulling real numbers right now. New coding tools join the same running total as they settle. Goes through the signed-in Codex CLI’s own local app-server API. Uses the Claude OAuth credentials already stored on this computer. Reuses your signed-in Cursor desktop session from…from usageatlas.com
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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, August 2026
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Life & fun · 10d ago · louisabraham.github.io
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Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
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