Token Audit
See where your LLM budget really goes
What it does
Token Audit breaks every LLM API request into question / thinking / reply tokens and shows where your money goes. Reasoning models like o1 burn up to 77% of tokens on hidden thinking — at premium prices. The tool estimates costs across 14 models, fires alerts on wasteful patterns (high reasoning ratio, runaway automation), and its AI Advisor suggests cheaper alternatives. CSV import, spend by model/task, 14-day trend. Runs 100% locally — no sign-up, no API keys.
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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 · 16d ago · simedw.com