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Qumin.ai
AI QA that writes and runs E2E tests in under a minute
Qumin turns plain-English requirements into self-healing end-to-end tests for web and Android ( soon ). No brittle selectors, no test maintenance, just describe what to test and Qumin generates, runs, and repairs it automatically. QA in under a minute.
Happy to introduce Qumin today.
QA has been the same story for a decade — write tests, tests break when UI changes, engineers waste hours fixing selectors instead of shipping. Khushal and team are attacking this with vision-language models that understand what the app looks like, not just what the DOM says. Self-healing E2E tests from plain English for Web and Android ( soon ).
Have been tracking what @khushal_bapna is building for a while — sharp team, real problem. Excited to see what the PH community thinks.
Makers are here to answer questions — over to you @khushal_bapna @srihari_maruthachalam 👋
Qumin does one thing exceptionally well: it tests your app the way a human would, not the way a DOM parser does.
Our agent looks at the actual rendered UI — buttons, layouts, state — using vision-language models, figures out the steps, executes them, and heals itself when things shift.
No selectors. No XPath. No 3 am "element not found" pages.
That's the core bet: if the agent sees what the user sees, most flakiness disappears by design.
I'm Srihari, co-founder at Qumin. Hunt Qumin.ai to know more.
Hey Product Hunt 👋 I'm Khushal, Founder of Qumin.
We built this because every QA team we talked to was drowning in the same problem: tests break every time the UI shifts. You spend more time fixing tests than writing them.
Qumin uses vision-language models to understand what your app looks like and does — not just CSS selectors. You describe a test in plain English ("log in, add item to cart, verify total"), and Qumin writes it, runs it, and self-heals when the UI changes. Works across web and Android ( soon ).
Under the hood: multi-modal LLMs for plan generation and executions.
Would love your feedback — especially teardowns.
If you're running E2E tests today: what's the last test that broke on you, and what was the actual root cause? Curious to see if Qumin would've caught it.
— Khushal
About Qumin.ai on Product Hunt
“AI QA that writes and runs E2E tests in under a minute”
Qumin.ai was submitted on Product Hunt and earned 8 upvotes and 3 comments, placing #57 on the daily leaderboard. Qumin turns plain-English requirements into self-healing end-to-end tests for web and Android ( soon ). No brittle selectors, no test maintenance, just describe what to test and Qumin generates, runs, and repairs it automatically. QA in under a minute.
Qumin.ai was featured in SaaS (41.7k followers), Developer Tools (511.7k followers) and No-Code (5.6k followers) on Product Hunt. Together, these topics include over 112.8k products, making this a competitive space to launch in.
Who hunted Qumin.ai?
Qumin.ai was hunted by Ankit Sharma. 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.
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Ankit Sharma