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Optics-QA
One run: bug found, ticket written, fix prompt ready
Error tracking, session replay, uptime monitoring, recorded user flows that replay against your real app, a graded pentest, load testing, DDoS drills, SOC2 readiness and a Linear-quality issue board. One product, not nine tabs. A failure gets captured, grouped, written up and assigned before anyone opens a ticket, and every proof run ends in a shareable report you can send to a client or an auditor.
Hi Product Hunt.
Every QA process I have worked with contains the same wasted morning. A tester finds a bug, sends a screenshot and the words "it broke", and an engineer spends hours getting back to the moment it happened.
So we made the app record its own failures. Then we went further: if a machine can watch a session, it can drive one.
Auto Flow is the part to try first. Open the Chrome extension on your own app and press one button. It signs itself up, mints a throwaway mailbox for the run, waits for your one-time code, types it into the field it captured, then explores your product until something breaks. It records video of the whole run and screenshots the step that failed.
Whatever it finds becomes a ticket with an owner, the replay attached and a fix prompt ready for Claude, Cursor or Codex. Optics also runs a graded pentest, a load rehearsal that tells you how many people you can actually serve, and a DDoS drill, each ending in a report link you can send a client.
Free to try, no card. Tell me what your app does that you think Auto Flow cannot get through, and I will go run it.
Optics-QA was submitted on Product Hunt and earned 8 upvotes and 9 comments, placing #29 on the daily leaderboard. Error tracking, session replay, uptime monitoring, recorded user flows that replay against your real app, a graded pentest, load testing, DDoS drills, SOC2 readiness and a Linear-quality issue board. One product, not nine tabs. A failure gets captured, grouped, written up and assigned before anyone opens a ticket, and every proof run ends in a shareable report you can send to a client or an auditor.
On the analytics side, Optics-QA competes within SaaS, Developer Tools and Artificial Intelligence — topics that collectively have 1M followers on Product Hunt. The dashboard above tracks how Optics-QA performed against the three products that launched closest to it on the same day.
Who hunted Optics-QA?
Optics-QA was hunted by Michael Ezehi. 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 Optics-QA including community comment highlights and product details, visit the product overview.
Michael Ezehi