TokensBurned is a privacy-first tool that publishes AI coding activity on a GitHub profile through a live SVG card. It collects token counts and model metadata from AI coding harnesses, reduces raw sessions locally, aggregates usage into 15-minute buckets, and serves totals, activity heatmaps, harness/provider/model comparisons, and an optional site-wide rank. It supports native or official integrations for Claude Code, Codex, Gemini CLI, Cline CLI or SDK, and GitHub Copilot CLI, with OTLP or standalone CLI fallbacks for other harnesses.
The tool uploads aggregate token counts, harness/provider/model metadata, hashed session identifiers, time buckets, and request counts, while its stated privacy boundary excludes prompts, responses, source code, tool payloads, repository names and paths, transcript files and paths, and API keys. Public display is a separate explicit opt-in tied to a verified GitHub account; users can build cards with selectable layouts, themes, heatmaps, comparisons, and rankings. It is distributed through harness plugins and an npm CLI, installs no cron job, daemon, proxy, or Git synchronization task, and is licensed under the MIT License.