Jina is your AI QA engineer that tests apps end-to-end and catches bugs autonomously, at scale.
It understands UI, code, and user intent. Doesn't rely on test scripts or CSS selectors and requires no maintenance.
We built Jina because QA today is broken.
Testing hasn’t evolved much in years—teams still rely on scripts tied to CSS selectors and brittle assumptions about UI structure. Even “AI-powered” tools just generate those same scripts faster, which means they still break and still need constant upkeep.
Jina takes a fundamentally different approach.
It uses browser agents and a vision-first model to interact with your app like a real user would. No selectors, no scripts. Just a goal like “book a flight” or “checkout a cart.” Jina explores the UI, runs the flow, and flags real bugs. When the UI changes, it adapts.
It also auto-generates new tests from live user analytics—so as your product evolves, your test coverage does too.
The teams behind some of the most iconic ecommerce brands are already using Jina to catch bugs before customers do—and free up engineers to focus on shipping, not debugging tests.
Excited to show you what we’ve been working on.
Yes, more is needed in the testing space especially using AI! Glad that you picked it up! I think that bug prediction through looking at the code is something AI should be able to do well if given business context!
Very cool launch! Jina feels like the QA teammate every dev team wishes they had — smart enough to understand the app like a user, and hands-off when it comes to maintenance. Excited to see how it reshapes testing workflows!
Just gave Jina’s AI Landing Page Roaster a spin on our homepage draft an I really like how the “friendly roast” format mixes tough-love copy critiques with concrete, line-by-line fixes. It feels like having a seasoned CRO consultant in my browser, minus the invoice. 🔝
A few thoughts as I digest the feedback:
Priority heat map: a quick “high/medium/low” impact tag on each suggestion would help teams tackle the biggest conversion leaks first.
Competitor lens: pulling in a side-by-side snapshot of two competitor pages (with the same roast criteria) could make the insights even more actionable for positioning.
Version tracker: after revisions, re-roasting and seeing an overall score delta (+12% clarity, +8% trust) would turn iterative copywork into a mini-game.
One-click share: a public link that shows the roast report (read-only) would simplify hand-offs to designers or founders who “just want the highlights”, I think.
Overall, I'm really impressed by the mix of tone, clarity, and humor (enough to keep me engaged without sugar-coating the flaws). Great launch! 🚀
Replies
Jina
Yes, more is needed in the testing space especially using AI! Glad that you picked it up! I think that bug prediction through looking at the code is something AI should be able to do well if given business context!
Jina
@manu_goel2 thank you, yes! lmk if you wanna check it out in action
Very cool launch! Jina feels like the QA teammate every dev team wishes they had — smart enough to understand the app like a user, and hands-off when it comes to maintenance. Excited to see how it reshapes testing workflows!
Jina
@supa_l Yes that's the goal!
Just gave Jina’s AI Landing Page Roaster a spin on our homepage draft an I really like how the “friendly roast” format mixes tough-love copy critiques with concrete, line-by-line fixes. It feels like having a seasoned CRO consultant in my browser, minus the invoice. 🔝
A few thoughts as I digest the feedback:
Priority heat map: a quick “high/medium/low” impact tag on each suggestion would help teams tackle the biggest conversion leaks first.
Competitor lens: pulling in a side-by-side snapshot of two competitor pages (with the same roast criteria) could make the insights even more actionable for positioning.
Version tracker: after revisions, re-roasting and seeing an overall score delta (+12% clarity, +8% trust) would turn iterative copywork into a mini-game.
One-click share: a public link that shows the roast report (read-only) would simplify hand-offs to designers or founders who “just want the highlights”, I think.
Overall, I'm really impressed by the mix of tone, clarity, and humor (enough to keep me engaged without sugar-coating the flaws). Great launch! 🚀
Jina
@gianmaria_caltagirone thanks Gianmara, helpful feedback -- will keep in mind.
Please also check out Jina for her day job -- QA engineer and let me know if you'd like to hire her
Jina
@gianmaria_caltagirone btw you can share your roast link!