Anthony Latona

One challenge we faced while building an AI testing agent was deciding what it should do when the evidence is incomplete.

A binary PASS or FAIL result looks simple, but it can create false confidence.

For example, a page may display an error message that is expected in one workflow but is a real defect in another. If the agent does not have enough context, forcing a binary result can create a false positive.

We decided to use three verdicts:

Hi Product Hunt. I am Elitza and I am the founder of own.page. We launched on Product Hunt 20 days ago, and since then, it has brought us more than 1,900 signups.

I waited a long time before launching own.page here. Not because I didn t want to, actually, I wanted it a lot. But Product Hunt always felt like one of those big platforms where, if things go well, it can really change the momentum of a product. And because of that, I kept delaying it. For more than 6 months. I was thinking too much. What if the day is too competitive? What if nobody cares? What if we launch and nothing happens?

On X, I often saw people saying Product Hunt is dead. That it doesn t bring traffic anymore. That launches don t matter like they used to. But still, I wanted to do it no matter what people are saying. Before this, I had launched own.page on smaller launchpads. And yes, they helped. They brought some users, some traffic, some attention. I m grateful for that. But honestly it was nothing like Product Hunt.

I ve discovered a lot of useful products through Product Hunt over time.

Funny thing is, some of them I found way back, but only recently started using when the right use case clicked. I kept bookmarking them. And that s when their real value showed up.