whoburnedmore

Whoburnedmore is a command-line tool that tracks token usage, costs, and active days across AI coding tools. It provides developers with a personal dashboard and a public leaderboard to compare compute metrics.

whoburnedmore

About whoburnedmore

whoburnedmore is a free, open-source command-line tool that aggregates AI coding usage data from over 15 tools, including Claude Code, Codex, Cursor, and Open code. Running npx whoburnedmore generates a dashboard of tokens, cost, active days, and peak usage, then redirects to a live public leaderboard. The project launched this week.

Review

Developers using multiple AI coding assistants rarely have a unified view of their consumption. whoburnedmore pulls local usage logs from supported tools and compiles them into a single report. The public leaderboard turns individual metrics into a shared ranking, updated as more users run the command.

Key Features

  • Aggregates token and cost data from Claude Code, Codex, Cursor, Open code, and 12+ other AI coding tools.
  • Displays total tokens, cost, active days, and the single day with highest usage in a dashboard accessible after the command runs.
  • Redirects to a live public leaderboard where usage totals appear alongside other developers' stats.
  • Runs with a single npx whoburnedmore command; no account or signup needed.
  • Updates leaderboard rankings in the background after the first run, keeping them current.

Pricing and Value

whoburnedmore is free and open source. There are no paid plans or subscription fees.

Pros

  • Gathers token, cost, and activity data from a wide range of AI coding tools into one view.
  • Requires only an npx command; no account creation.
  • Shows a live public leaderboard where usage totals appear alongside other developers' stats.
  • Open-source code allows inspection and community contributions.
  • Background updates keep the leaderboard current without repeated manual runs.

Cons

  • Not well suited for developers who want to keep AI usage data private, as the tool automatically submits totals to a public leaderboard.
  • Accuracy relies on each tool's local usage logging; inconsistencies across tools may affect the dashboard.
  • Lacks a persistent monitoring interface; each new check requires re-running the command, and there is no web dashboard for ongoing tracking.

whoburnedmore suits developers who are curious about their aggregate AI coding spend and comfortable with public comparison. It's a quick, zero-cost way to benchmark against peers. Those needing private analytics or continuous monitoring may prefer alternative tools.



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