Cekura is the testing, observability, and self-improvement platform for production voice and chat AI agents. It simulates thousands of scenarios, catches failures, diagnoses the root cause, rewrites prompts and config, then re-validates with a full regression sweep. Unlike tools that hand failures back to your team, Cekura closes the loop by fixing the agent itself and proving the fix holds without overfitting.
Today we are launching self-improving loops for voice agents.
Fixing a voice agent has always been fragmented. Your testing tool tells you what failed, you diagnose it from transcripts, patch the prompt, re-run, and something else breaks. The tools find problems, but the fixing has always been a human walking between them.
Cekura collapses that loop. It runs thousands of simulated calls and groups every failure, explained in plain English. Optimise agent hands them to the Cekura Agent, or any coding agent you use, Claude Code, Codex, anything. It reproduces each failure, makes the change, and reruns until everything passes, then verifies nothing else broke. You review the diff.
Two rules: it must reproduce a bug before fixing it, and every fix is proven on simulated calls on a clone, never your live agent.
Free for everyone to try, starting today. We are in the comments all day. If you want to chat more, please feel free to book time here
About Cekura on Product Hunt
“The self-improvement loop for voice agents”
Cekura launched on Product Hunt on July 28th, 2026 and earned 348 upvotes and 70 comments, earning #2 Product of the Day. Cekura is the testing, observability, and self-improvement platform for production voice and chat AI agents. It simulates thousands of scenarios, catches failures, diagnoses the root cause, rewrites prompts and config, then re-validates with a full regression sweep. Unlike tools that hand failures back to your team, Cekura closes the loop by fixing the agent itself and proving the fix holds without overfitting.
On the analytics side, Cekura competes within SaaS, Developer Tools and Audio — topics that collectively have 562k followers on Product Hunt. The dashboard above tracks how Cekura performed against the three products that launched closest to it on the same day.
Who hunted Cekura?
Cekura was hunted by Garry Tan. 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.
Garry Tan
Hey Product Hunt!
Sidhant here, co-founder of Cekura
Today we are launching self-improving loops for voice agents.
Fixing a voice agent has always been fragmented. Your testing tool tells you what failed, you diagnose it from transcripts, patch the prompt, re-run, and something else breaks. The tools find problems, but the fixing has always been a human walking between them.
Cekura collapses that loop. It runs thousands of simulated calls and groups every failure, explained in plain English. Optimise agent hands them to the Cekura Agent, or any coding agent you use, Claude Code, Codex, anything. It reproduces each failure, makes the change, and reruns until everything passes, then verifies nothing else broke. You review the diff.
Two rules: it must reproduce a bug before fixing it, and every fix is proven on simulated calls on a clone, never your live agent.
Free for everyone to try, starting today. We are in the comments all day. If you want to chat more, please feel free to book time here