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whoburnedmore

A public leaderboard that ranks developers by AI coding token consumption.

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Free to browse · updated 2026-06-16
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What is whoburnedmore?

The platform aggregates usage data from AI coding agents to create transparent leaderboards. Developers can compare their token burn rates against others using models from providers like Claude, Codex, and Gemini. Only summary statistics are shared, supporting optional local-only mode for complete privacy. Rankings highlight top performers by total tokens, costs, and streaks, along with their preferred tools and models. The system updates frequently to reflect current activity across the community. It draws from established usage tracking libraries to ensure accurate reporting without exposing sensitive details. Users install the tool via a simple command line interface that integrates with existing workflows. This setup enables both public participation on the global board and private dashboard views for personal tracking.

Key features

Public leaderboard tracking AI coding token usage and costs
CLI command (npx whoburnedmore) to submit aggregates
Support for multiple tools including Claude, Codex, Gemini, Copilot
Privacy option with --local mode keeping all data on machine
Daily and weekly top burner shoutouts
Only daily aggregate totals shared, never code or prompts
Built on ccusage (MIT licensed)

AI models whoburnedmore uses

claude-opus-4-8
tracked on leaderboard
gpt-5.5
tracked on leaderboard
claude-opus-4-7
tracked on leaderboard
claude-sonnet-4-6
tracked on leaderboard

What you can use whoburnedmore for

Public Leaderboard Competition

Submit aggregated token usage to appear on global rankings that compare developers by total tokens and estimated costs across AI coding tools.

Private Local Tracking

Run the CLI with the --local flag to analyze and view personal usage aggregates entirely on your machine without transmitting any data.

Multi-Tool Usage Review

Monitor token consumption and costs from supported coding assistants while only sharing daily totals and never exposing code or prompts.

How to use whoburnedmore

  1. 1Open a terminal in your project directory
  2. 2Run npx whoburnedmore to scan for usage data
  3. 3Review the generated aggregates before submission
  4. 4Add --local to keep results private or omit it to join the leaderboard
  5. 5Visit whoburnedmore.com to view rankings and shoutouts

whoburnedmore pricing

Pricing model: Free. Plan details are indicative — check the site for current prices.

Free

Free
  • CLI via npx
  • Public leaderboard access
  • Local mode --local
  • MIT licensed usage reader

Editor's verdict

Pros

  • +Strong privacy guarantees with aggregate-only sharing
  • +Real-time leaderboard with cost estimates

Cons

  • Public rankings may expose usage data
  • No dedicated pricing or plans pages available

Our take: whoburnedmore is a solid coding & dev choice. It's valued for strong privacy guarantees with aggregate-only sharing and real-time leaderboard with cost estimates. The main trade-off is public rankings may expose usage data. A good pick if you want capable AI without a high upfront cost.

Frequently asked questions

Only daily aggregate totals are shared; code, prompts, and file names never leave the device.

Summary

whoburnedmore is a solid coding & dev choice. It's valued for strong privacy guarantees with aggregate-only sharing and real-time leaderboard with cost estimates. The main trade-off is public rankings may expose usage data. A good pick if you want capable AI without a high upfront cost.

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