Milena Petrova

TwelveLabs just introduced Pegasus 1.5, their most significant leap in generative video AI, transforming video into a queryable, structured data asset.

They're launching today on Product Hunt.

We re all builders here, which usually means at some point we looked at something clunky, slow, or frustrating and thought, there has to be a better way. Most products don t start with a grand vision; they start with irritation, curiosity, or firsthand pain.

I d love to learn more about how others here have navigated that journey:

How did you uncover the problem you decided to work on?
What signals told you this problem was worth solving?
How did you validate (if at all) whether people would actually pay for a solution?
Has your product stayed true to the original problem, or did it evolve into something different?
What surprised you the most along the way?

Many people have told me that being part of Gen Z comes with advantages we have time, energy, and plenty of opportunities to shape our careers in the AI era. And I do feel lucky to have grown up with technology, to have had early exposure and opportunities to learn and explore it.

But the AI era feels different. The shift is not only new, it s happening at lightning speed. Before I ve even fully adapted to working with AI, we re already seeing waves of layoffs where human roles are being replaced or reshaped by AI systems. And honestly, that creates uncertainty and anxiety not just for me, but for many people around us.