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TokenDam
A linter for LLM token spend — that gates cost in CI
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.
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. 🙏
About TokenDam on Product Hunt
“A linter for LLM token spend — that gates cost in CI”
TokenDam was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #99 on the daily leaderboard. 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.
On the analytics side, TokenDam competes within Developer Tools and Artificial Intelligence — topics that collectively have 993.3k followers on Product Hunt. The dashboard above tracks how TokenDam performed against the three products that launched closest to it on the same day.
Who hunted TokenDam?
TokenDam was hunted by Johnson Liu. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of TokenDam including community comment highlights and product details, visit the product overview.
Johnson Liu