Launching today

TokenDam

Launching today

A linter for LLM token spend — that gates cost in CI

7 followers

A linter for LLM token spend — that gates cost in CI

7 followers

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Your agents burn tokens — resending uncached prompts, dragging dead tools, replaying full history. TokenDam is a linter for LLM spend: paste a trace and see the line-item waste, each with a $/month figure and the exact fix (runs in your browser — your trace never leaves the tab). Put it in CI and the GitHub App audits every PR, fails the build on a cost regression, and opens a prompt-cache fix PR. Think ESLint, but for your token bill. Free CLI + web; Pro watches every PR.

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Launch tags:Developer Tools•Artificial Intelligence

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Hey PH 👋 I'm an indie dev and I kept watching my own AI agents quietly burn tokens — resending the same uncached system prompt, dragging dead tools around, replaying full history. So I built TokenDam: a linter for LLM token spend. Paste a trace and it shows the line-item waste with a $/month figure and the exact fix — 100% in your browser, nothing uploaded. There's a CLI (npx tokendam), an MCP server, and a GitHub App that audits every PR and even opens a prompt-cache fix PR for you. It's the kind of small, sharp tool I like to ship. Would love your brutal feedback on the report UX and whether the numbers match your real bill. 🙏

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1d ago

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1d ago

Launching TokenDam tomorrow — a linter for your LLM token spend

Hey everyone I'm launching TokenDam here tomorrow and wanted to share the story a day early.

I kept staring at agent token bills that felt too high but couldn't see why. Turns out the waste is boringly consistent: the same 2-3k-token system prompt resent uncached on every call, a whole scraped page dumped into context, 20+ MCP tools the model never touches, history that never gets compacted.

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