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Open-source CLI that catches LLM quality drift before users do. Standalone binary, no Python, Node, or Docker. Every run compared against baseline automatically. Four metric pillars: factuality, format, tone, regression. NFR gates on latency/cost/coverage. Pluggable providers: Anthropic, OpenAI, Groq, Gemini, Ollama. CI-native with exit codes. MIT license, zero telemetry.
Hey Product Hunt! I built Regtrace because I was tired of discovering LLM
quality regressions the hard way users telling me something felt "off."
The existing tools fell into two buckets: Python-heavy libraries that don't
fit in non-Python stacks (DeepEval, RAGAS), or cloud/SaaS platforms that
require sending data to a third-party dashboard (LangSmith, Braintrust).
I wanted something that:
1. Runs in CI as a step in the pipeline (exit codes, JSON output)
2. Standalone binary — no pip install, no npm install, no Docker
3. Compares every run against a baseline automatically
So I built Regtrace. It's MIT licensed, has zero telemetry, and your data
stays on your machine. Would love your feedback and questions!
No comment highlights available yet. Please check back later!
About Regtrace on Product Hunt
“Catch LLM quality drift before your users do”
Regtrace was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #84 on the daily leaderboard. Open-source CLI that catches LLM quality drift before users do. Standalone binary, no Python, Node, or Docker. Every run compared against baseline automatically. Four metric pillars: factuality, format, tone, regression. NFR gates on latency/cost/coverage. Pluggable providers: Anthropic, OpenAI, Groq, Gemini, Ollama. CI-native with exit codes. MIT license, zero telemetry.
Regtrace was featured in Open Source (68.5k followers), Analytics (172.3k followers), Developer Tools (514k followers) and GitHub (41.3k followers) on Product Hunt. Together, these topics include over 122.7k products, making this a competitive space to launch in.
Who hunted Regtrace?
Regtrace was hunted by Marlon Martin. 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 Regtrace stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Marlon Martin