This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
Wrap your Anthropic, OpenAI, or Gemini client with guard() — it tracks token spend on every request and throws a hard stop before you breach your budget. Unlike billing alerts (delayed, non-blocking), llm-cost-guard sits in your code and kills the request before money is spent. Supports per-user limits, Slack/Discord webhooks, pre-flight cost estimation, Redis storage, and full TypeScript types.
Hey PH! Advik here, maker of llm-cost-guard 🛡️
Built this after accidentally running a Claude API loop on 847 items overnight with no limit set. Woke up to a ₹4,000 bill.
Anthropic's billing alerts are delayed and don't stop the request — they just email you after damage is done. So I built middleware that sits in your code and kills the request before it fires.
Would love feedback on:
- Which storage adapter to build next (Redis is planned)
- Whether LangChain integration would be useful for your stack
- Any providers missing from the pricing table
npm: https://www.npmjs.com/package/@a...
GitHub: https://github.com/advikhingmire...
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About llm-cost-guard on Product Hunt
“Stop runaway LLM API spend before it happens”
llm-cost-guard was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #129 on the daily leaderboard. Wrap your Anthropic, OpenAI, or Gemini client with guard() — it tracks token spend on every request and throws a hard stop before you breach your budget. Unlike billing alerts (delayed, non-blocking), llm-cost-guard sits in your code and kills the request before money is spent. Supports per-user limits, Slack/Discord webhooks, pre-flight cost estimation, Redis storage, and full TypeScript types.
llm-cost-guard was featured in Open Source (68.6k followers), Developer Tools (515.5k followers), Artificial Intelligence (473.1k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 218.1k products, making this a competitive space to launch in.
Who hunted llm-cost-guard?
llm-cost-guard was hunted by Advik. 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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