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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. 🙏
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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.
TokenDam was featured in Developer Tools (517.5k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 192.7k products, making this a competitive space to launch in.
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.
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Johnson Liu