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Cover image for I built TokenBoard to track AI coding token usage without uploading prompts or code
Hui Chen
Hui Chen

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I built TokenBoard to track AI coding token usage without uploading prompts or code

AI coding tools are getting good enough that I wanted a simple way to understand usage across real work, not just guesses from billing pages.

So I built TokenBoard: https://token-board.com/

It is a small leaderboard and personal stats page for AI coding usage. The local CLI currently supports Codex and reports aggregate metrics such as:

  • tokens
  • sessions
  • messages
  • models
  • estimated cost
  • active days

The main privacy rule is simple: TokenBoard does not upload prompts or code. It only reports usage metrics.

The product is still early. Right now the collector supports Codex, and I plan to add Claude Code and other AI coding agents later. The goal is to make it easier for developers to compare usage, understand cost, and optionally share a small stats card if they want to.

If you use Codex often, I would appreciate feedback on whether this is useful and what metrics would make the leaderboard or profile page better.

Site: https://token-board.com/

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alexshev profile image
Alex Shev

The privacy boundary is what makes this kind of tool interesting. Teams need usage visibility, but uploading prompts or code to get it creates a second governance problem. Aggregate token, model, session, and cost metrics are enough for many decisions if the local collector is transparent.