Launching today
Manta AI
Your AI agent for autonomous web app testing
64 followers
Your AI agent for autonomous web app testing
64 followers
Manta AI is an autonomous testing agent for web applications. Give it a URL and it explores your app the way a real user would — mapping flows, finding bugs, and generating self-healing test cases. Describe a flow in plain English and Manta tests it for you, no script required. When your UI changes, the tests adapt on their own. Run the agent locally on any machine or server — test apps behind a firewall, on a private network, or even on localhost. Free tier open. No card required.
Manta AI
Hi Product Hunt 👋
I'm AbdelRahman, founder of Manta AI. I'm always here — ask me anything.
The honest version of why I built this: I spent years managing software development teams across telecom, fintech, e-commerce, and real estate. Testing was always the part that broke under pressure. Scripts failed every time the UI changed. QA teams burned hours maintaining automation instead of actually testing. And at some point, the team quietly gave up on automated UI testing altogether — not officially, just practically.
That decision always came back to hurt us.
When AI coding tools arrived and made development even faster, I knew the testing gap was going to become a real crisis for a lot of teams. So I built Manta AI.
Manta explores your web app autonomously — without being told where to look. It finds bugs in real user flows, not just unit-level failures. You can also describe a specific flow in plain English and Manta will test it for you, no script required. When your UI changes, the tests self-heal. No selector updates. No maintenance.
The runner can be deployed locally on any machine or server — so you can test apps behind a firewall, on a private network, or on localhost without exposing anything to the public internet. Or run it from the cloud if you prefer.
Free trial is live now. No card required.
If you try it, I'd love to hear your experience — what worked, what surprised you, and what you'd do differently. That's more useful to me right now than anything else.
Really like the framing here, AbdelRahman — the honest "the team quietly gave up on automated UI testing" is such a real failure mode, and going after it with autonomous exploration instead of brittle selectors feels right.
One thing I'd genuinely love to understand: when the UI changes and a test self-heals, how does Manta tell "the UI legitimately moved" from "the UI broke"? A redesign should heal, but a regression that shifts the same element is exactly the bug you'd want it to catch — curious where that line gets drawn.
And on the autonomous exploration: since the agent picks its own path, how repeatable is a run? If it surfaces a bug today, will the same flow reliably reproduce it tomorrow, or does the path drift between runs?
Excited to try it on a flow behind a firewall 🙏 @aelsergani
Manta AI
@akbar_b Thank you for your feedback. Manta is able to know when a UI change happens but doesn't break the test plan. A change in button color, location, etc. can be picked up easily. However, a complete change that breaks the test will fail the test. That is when you can easily check the test run and see what exactly broke. We can add a feature to notify the user when a test had to self-heal to be successful. Then the user can check visually how the test was healed and decide.
Stay tuned as Manta re-shapes and progresses with more and more use cases.
Pointed it at a staging app and it picked up a broken checkout flow on its own without any setup. The self-healing part feels pretty solid too when I shuffled the UI around.
Manta AI
@evvalkayga5vdo Thank you for trying out Manta! Excited to see how Manta can further enhance your software testing process.
The self-healing tests actually adapted when I tweaked a button label, which caught me off guard in a good way. Local execution is a nice touch for our staging environments behind a VPN.
Manta AI
@recep755n Thank you for your comment. Stay tuned as Manta re-shapes software testing for years to come.
self-healing test cases is the part i actually care about. writing the tests was never the hard bit, keeping them from breaking every time the UI moves is. if manta handles that reliably it solves the real problem
Coverage is easy to demo, trust is what makes a testing tool stick. If it cannot tell a real regression from a timing flake, teams stop reading the reports within a week. I would lead with how you hold the false-positive rate down.
Local runs against localhost:3000 are the right bet here - most agent testers die before they can reach a staging app