Tokenflow
See where your AI tokens actually go
What it does
TokenFlow turns local logs from Claude Code, Codex, Cursor, Cline, and Hermes into honest token and cost analytics -12 dashboard views, a native macOS menu bar app, forecasts, and anomaly alerts. Zero dependencies; nothing leaves your machine. Nothing leaves your machine.
Local-first, provider-agnostic analytics for the AI tokens you spend across Claude Code, Codex, OpenCode, Cline and Cursor. Zero dependencies. Nothing leaves your machine.
TokenFlow reads the logs your tools already write and turns them into honest analytics across Claude Code, Codex, OpenCode, Cursor and more. Zero dependencies. Nothing leaves your machine. Daily series, composition, provider and model intelligence, interfaces, hour and weekday patterns, calendar heatmap, peaks, efficiency ratios and more. Estimated cost from a versioned price table with sources printed, cross-checked against measured gateway costs where they exist. Claude and Codex style five hour session windows modelled from your activity, with reset countdowns right in the menu bar. Declare caps in config and get capacity meters, burn rates, exhaustion ETAs, linear forecasts with stated…from vimoxshah.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.
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