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.
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.
Cool idea. Right now I'm using codex with browser or claude code with browser use to do such testing. How do you see Manta giving more value?
I ship MVPs fast and testing is always the thing I skip when I am tired, then I pay for it later. Curious how it handles login flows, that is where most of my bugs hide. Congrats on the launch.
@aelsergani the local and firewall-network angle is interesting, most testing agents assume a public URL. However I'm curious how it handles authenticated flows, like SSO or MFA prompts?
QA never gets love so nice to see this. does it flag flaky tests or just fail them?
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
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
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.
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.
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
About Manta AI on Product Hunt
“Your AI agent for autonomous web app testing”
Manta AI launched on Product Hunt on July 16th, 2026 and earned 128 upvotes and 23 comments, placing #8 on the daily leaderboard. 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 was featured in Software Engineering (42.7k followers), Developer Tools (515.8k followers), Tech (628k followers) and Vercel Day (26 followers) on Product Hunt. Together, these topics include over 250.4k products, making this a competitive space to launch in.
Who hunted Manta AI?
Manta AI was hunted by AbdelRahman El-Sergani. 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.
Want to see how Manta AI stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
AbdelRahman El-Sergani
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.