Aditya Sharma

So I think that saves you a lot.

So there will be no problem using the open source projects.

So for productive AI, the jaw-dropping moment was speed.

The founder expected a list of tools.

Instead, they get open source alternatives, feature level comparison, and hidden competitors that they have never heard of.

All in seconds.

Yes, sure.

So for productive AI, it's all about semantic understanding.

Knowing two products might solve the same problem, even if they use totally different words.

So emotionally, it feels like, oh, wow, this gets me.

Right.

Okay, so when I was building productive AI itself, so I was using AI for that.

And after building the productive AI, I just tried to find my project itself.

So productive AI, it's open source.

So I just gave the description and the feature that productive AI already had.

So to my surprise, I got n numbers of exactly same open source project, which was similar to Productive AI, and I used their components and features in Productive AI.

So that was really a game changer for me.

I guess making productive AI was a big challenge at first, but after learning

Making it evolving into what we have today.

It was a bit of Iteration work, but if we finally are we are getting the similar product We are having less We are having less time inputs in making competitive analysis for the founders.