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).
Every LLM observability tool shows you that costs spiked. None of them tell you which deploy caused it. LLMTrace is a self-hosted Go proxy that sits in front of your Anthropic/OpenAI calls and logs every request with cost, user, and deploy SHA into your own Postgres. When your bill jumps, you can point to the exact commit. No SaaS, no data leaving your infra. Drop in the docker-compose and you're logging in under 5 minutes.
Built this after a single bad prompt quietly doubled my Anthropic bill and I had no idea which deploy caused it. Helicone and Langfuse are great but they show you the symptom, not the cause. LLMTrace is a Go proxy that tags every LLM call with the commit SHA that triggered it. Self-hosted, no vendor lock-in. Happy to answer any questions about how the attribution works.
Congratulations on your launch! Being able to trace usage back to the exact deployment while keeping everything self-hosted makes the debugging process much more practical and trustworthy.
About LLMTrace on Product Hunt
“Know which commit blew up your LLM bill”
LLMTrace was submitted on Product Hunt and earned 7 upvotes and 3 comments, placing #17 on the daily leaderboard. Every LLM observability tool shows you that costs spiked. None of them tell you which deploy caused it. LLMTrace is a self-hosted Go proxy that sits in front of your Anthropic/OpenAI calls and logs every request with cost, user, and deploy SHA into your own Postgres. When your bill jumps, you can point to the exact commit. No SaaS, no data leaving your infra. Drop in the docker-compose and you're logging in under 5 minutes.
LLMTrace was featured in Open Source (68.5k followers), Developer Tools (514k followers), Artificial Intelligence (471k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 207.8k products, making this a competitive space to launch in.
Who hunted LLMTrace?
LLMTrace was hunted by Raghav Sharma. 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.
Want to see how LLMTrace stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Raghav Sharma
Built this after a single bad prompt quietly doubled my Anthropic bill and I had no idea which deploy caused it. Helicone and Langfuse are great but they show you the symptom, not the cause.
LLMTrace is a Go proxy that tags every LLM call with the commit SHA that triggered it. Self-hosted, no vendor lock-in. Happy to answer any questions about how the attribution works.