Revalvo is a local-first workbench for prompt engineering and LLM evaluation. Run the same prompt against every model in parallel, score responses with 40 built-in evaluators, version prompts like code, and batch-test on datasets — before anything hits production. No account, no hosted database: your API keys stay in your browser.
We built Revalvo because chat playgrounds are fast but leave no receipt, and hosted eval platforms are rigorous but slow and server-side. Revalvo sits in the middle: sub-minute setup, side-by-side multi-model runs, git-style versioning, and batch eval in one local-first app.
Try it: revalvo.com — paste an OpenRouter/any OpenAI Compatible providers key or run fully offline with Ollama.
What we’d love feedback on: evaluator coverage, GitHub sync workflow, and which providers you want next.
Built with BYOK — we never touch your keys or markup your API spend.
hey, classic question: how is it different than langsmith evals or weights and biases evals?
40 evaluators is the number I'd push on. Most eval suites I've used come down to another model grading the output, so the eval inherits the same failure mode as the thing it's grading. For each of those 40 I'd want to know upfront whether it's deterministic or a judge model, because I trust those two very differently. BYOK with no markup on API spend is the right call though.
About Revalvo on Product Hunt
“Run prompts on every model at once. Score. Version. Ship.”
Revalvo launched on Product Hunt on August 28th, 2026 and earned 95 upvotes and 5 comments, placing #14 on the daily leaderboard. Revalvo is a local-first workbench for prompt engineering and LLM evaluation. Run the same prompt against every model in parallel, score responses with 40 built-in evaluators, version prompts like code, and batch-test on datasets — before anything hits production. No account, no hosted database: your API keys stay in your browser.
Revalvo was featured in Productivity (659.8k followers), Developer Tools (518.7k followers) and Artificial Intelligence (477.7k followers) on Product Hunt. Together, these topics include over 358.2k products, making this a competitive space to launch in.
Who hunted Revalvo?
Revalvo was hunted by Lokesh. 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 Revalvo stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Lokesh