Sarah Wang

Yeah, absolutely.

And I mean, to the extent you talked about starting to build EXA five years ago, and then it feels like in the last five years, the world has completely changed, which is actually, in my opinion, a great thing to happen to you and to EXA while you're building because you can bring in this new technology versus trying to either...

fight it or have some sort of innovator's dilemma, maybe share a little bit more on why you decided to build Exa from the ground up and what parts were the hardest or have been the hardest?

And then how has it changed as the world of LLMs have changed?

This is a big paradigm shift.

Even as investors, we're thinking like, hey, it's not humans who are deciding the dev tool that wins.

It's actually agents.

Personal anecdote, I think I told you this one, but we have a family open club, Michael Clodberg, and we wanted to give it web access.

And he was like, I recommend Exa.

Before we invested, I was like, sure, I'll go with whatever you recommend, right?

And so it sounds like there's this nice dovetailing of how you were intending to build Exa in the first place to what agents want.

But how do you think about

what agents want, right?

That's sort of the holy grail right now of, hey, I don't care what database I'm using.

My agent's going to select Convex or Supabase.

These are entire tailwinds that are making some of these companies.

How do you optimize for that?

Think about that?

So maybe just to go back to this point you made on

model intelligence improving and how that's changed the game in search as well.