We launch a feature here on Thursday, and the landing page section for it is the one new users keep bringing up on calls and in replies, more than the hero, more than pricing.
It is a simple block. One sentence: see the change before it ships. One picture of a working copy of your site with the change on it, and two buttons: approve, or send it back.
I think it works because it answers the question people actually have about any tool that writes code for them: what if it gets it wrong? The answer is not trust us , it is look at it first . The other sections explain what it does. This one removes the fear.
Curious what the equivalent section is on your landing page: the one that answers the fear rather than describing the feature. And for those who have run the test, did it convert better than the feature description?
Kirill here — I’m focused on the data and intelligence side of Ovren.
For me, backlog automation gets interesting when it moves beyond code generation and into real context understanding.
To be genuinely useful, the system has to make sensible decisions inside messy repos and return changes a team can actually trust.
We’re starting with well-scoped tasks first, then pushing toward deeper automation layers like QA.
Would love to hear where people think AI becomes truly useful first in the software delivery workflow.
@kirill_lepchenkov Well said, context understanding is where this gets truly useful, especially inside real repos and delivery workflows.
Really like this direction. Focusing on actual backlog execution instead of just suggestions feels like a meaningful shift. What kinds of tasks are teams trusting it with first?
@uxpinjack Mostly well-scaled backlog workflows, bug fixes, cleanup, small refactors, UI changes, tests, and small feature executions. That's where trust builds fastest.
@uxpinjack Well-scaled backlog workflows for now, but we are working on more ambitious workflows with ambiguity resolution for tackling more complex tasks
@uxpinjack @kirill_lepchenkov Well said. Thank you.
My team and I use Orwin, and it was a fantastic product. We had a UI glitch. We made it visible, but it wasn't linked to the backend code, so there was a backlog in that. We had to fix that, and Orwin was there to speed things up, so it was a great help.
@aditya_singhal12 Thanks a lot, Aditya, really appreciate it 🙌
That’s exactly the kind of backlog work Ovren is built to help teams move through faster.
@aditya_singhal12 Great to hear!
Congratulations guys! Such a cool product
@dmitry_zakharov_ai Thanks a lot, Dmitry, really appreciate it. Glad it resonates 🙌
@dmitry_zakharov_ai Thank you for the support!
There are so many different solutions of this kind on the market, but what sets this one apart, I would say, is the sensible and meaningful usage of AI and the nice UI that orchestrates it all together.
I wish the team all the luck and best success in this. This Product Hunt launch is just the first step in their journey, and I'm excited to see where this leads them.
@vibor_cipan Thank you so much! I really appreciate that. That's exactly the kind of balance we care about: making AI useful in a practical way and dropping up in a workflow people can actually trust and use.
Congrats on the launch @mikita_aliaksandrovich
@lakshya_singh Thanks a lot, we really appreciate it.
Cool stuff, guys! Good luck with the launch!
@ivan_ilin Thank you, Ivan.