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QALens
QA checklists that learn from your bugs
QALens turns failed checks into smarter checklists. Drop a PR, screenshot, or voice note → get a structured QA checklist with priorities and risk markers. When a check fails, AI expands that one issue into 4-5 related checks for your project — and remembers them. Built for QA engineers and dev teams who want their tools to learn from real bugs, not just generate text. Three inputs, one structured output, project memory built in. Launching late May 2026.
I've been building QA tools since 2019. One thing never changed: QA engineers spend too much time repeating the same checklist work release after release.
So I'm building QALens.
Upload a PR, screenshot, or voice note and get a structured QA checklist in seconds.
The difference is what happens next.
When a tester finds a bug, QALens doesn't just record it. It expands that finding into related checks and saves them as part of the project's QA knowledge.
Find a branding issue on an OAuth screen today, and future checklists will automatically look for similar problems across login flows, consent screens, redirects, and user-facing labels.
QALens was submitted on Product Hunt and earned 4 upvotes and 1 comments, placing #158 on the daily leaderboard. QALens turns failed checks into smarter checklists. Drop a PR, screenshot, or voice note → get a structured QA checklist with priorities and risk markers. When a check fails, AI expands that one issue into 4-5 related checks for your project — and remembers them. Built for QA engineers and dev teams who want their tools to learn from real bugs, not just generate text. Three inputs, one structured output, project memory built in. Launching late May 2026.
On the analytics side, QALens competes within Productivity, Developer Tools and Artificial Intelligence — topics that collectively have 1.6M followers on Product Hunt. The dashboard above tracks how QALens performed against the three products that launched closest to it on the same day.
Who hunted QALens?
QALens was hunted by Maxim Popelnitskiy. 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 QALens including community comment highlights and product details, visit the product overview.
Maxim Popelnitskiy
Hey 👋
I've been building QA tools since 2019. One thing never changed: QA engineers spend too much time repeating the same checklist work release after release.
So I'm building QALens.
Upload a PR, screenshot, or voice note and get a structured QA checklist in seconds.
The difference is what happens next.
When a tester finds a bug, QALens doesn't just record it. It expands that finding into related checks and saves them as part of the project's QA knowledge.
Find a branding issue on an OAuth screen today, and future checklists will automatically look for similar problems across login flows, consent screens, redirects, and user-facing labels.
ChatGPT generates and forgets.
QALens generates and learns.
Launching June 2026.
Early access: qalens.ai
I'd love your feedback while building in public.
— Maxim