Test, monitor, and improve your voice agents
Build voice agents you can trust. Roark tracks call metrics, runs evaluations, and stress-tests your agent with simulated callers across accents, languages, and speaking styles. Failed calls become tests - giving you visibility and continuous improvement.
👋 Hey Product Hunt! We’re @zammitjames & @danielgauci , co-founders of Roark (YC W25) . When we first built voice agents, we ran into the same problems every team faces: Testing was manual - we literally called agents over and over just to check if they followed instructions. Monitoring was missing - we didn’t know when failures happened, and even when they did, we had no idea which levers to pull to make the agent better. Fixes didn’t stick - regressions kept popping back up without us noti
Congratulations on the launch! I've heard great things about Roark!
Roark helps you build voice agents that actually earn trust. It tracks call metrics, runs smart evaluations, and stress-tests across accents, languages, and speaking styles. Every failed call becomes a test, so your agent gets sharper with every interaction.
Finally, a way to build AI voice agents that don't just work, but work well. Roark provides the crucial trust and visibility needed to deploy with confidence.
Congrats on the launch! Excited to see how this works!
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.
Check the similar products section on this page, or browse the category pages linked in the tags above. Each category page shows all products for a given year, sorted by engagement.