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Repath
Canary rollouts for prompts & models, gated on quality
Change a prompt or swap a model without guessing. Repath sends a slice of real traffic to the new version, an LLM judge scores both versions on the same criteria, and a controller advances the rollout (5% → 25% → 100%) or rolls it back to 0% on its own, with the worst answers and the judge's reasons logged. Integration is one base-URL change in the SDK you already use: OpenAI, Anthropic, Gemini, OpenRouter or Vercel AI Gateway. Gateway overhead: ~0.4 ms median.
Hey Product Hunt 👋
I built Repath because every prompt change I shipped felt like a coin flip. Offline evals passed, and then real users got worse answers and I found out from them.
Repath brings the canary rollout to prompts and models:
→ Point your SDK at Repath (base URL + one header)
→ Send 5% of real traffic to the new prompt or model
→ An LLM judge scores both versions on the same criteria, off the request path
→ Quality holds, it advances: 5% → 25% → 100%
→ Quality drops, it rolls back to 0% by itself, with the worst answers and the judge's reasons attached
Building it taught me a lot. The hardest part wasn't the AI, it was staying out of the way: the gateway sits in your request path, and keeping its overhead under a millisecond (~0.4 ms median) shaped every design decision.
Shadow mode, where the candidate runs on every request without users ever seeing it, is next.
7-day free trial, no card. I'd love to hear how you test prompt changes today.
About Repath on Product Hunt
“Canary rollouts for prompts & models, gated on quality”
Repath was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #390 on the daily leaderboard. Change a prompt or swap a model without guessing. Repath sends a slice of real traffic to the new version, an LLM judge scores both versions on the same criteria, and a controller advances the rollout (5% → 25% → 100%) or rolls it back to 0% on its own, with the worst answers and the judge's reasons logged. Integration is one base-URL change in the SDK you already use: OpenAI, Anthropic, Gemini, OpenRouter or Vercel AI Gateway. Gateway overhead: ~0.4 ms median.
On the analytics side, Repath competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Repath performed against the three products that launched closest to it on the same day.
Who hunted Repath?
Repath was hunted by Tejassri Avinasha. 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 Repath including community comment highlights and product details, visit the product overview.
Tejassri Avinasha