George Sivulka

I think the total round was like a million dollars. So it's like nothing.

But what do you think makes Peter so incredible? There's two things. He is incredibly ontologically smart. And so he can build this worldview or this perspective of the world where like he actually just like knows how to pattern match to a variety of other things.

But what do you think makes Peter so incredible? There's two things. He is incredibly ontologically smart. And so he can build this worldview or this perspective of the world where like he actually just like knows how to pattern match to a variety of other things.

But what do you think makes Peter so incredible? There's two things. He is incredibly ontologically smart. And so he can build this worldview or this perspective of the world where like he actually just like knows how to pattern match to a variety of other things.

But then he's also, I think, phenomenologically smart, which is the idea of like he understands processes and how humans behave really well. And so he's always thinking like, hey, you know, ex ante or like, you know, if I'm looking at something that's about to unfold, could I have predicted this ahead of time? And he always just asks himself that question.

But then he's also, I think, phenomenologically smart, which is the idea of like he understands processes and how humans behave really well. And so he's always thinking like, hey, you know, ex ante or like, you know, if I'm looking at something that's about to unfold, could I have predicted this ahead of time? And he always just asks himself that question.

But then he's also, I think, phenomenologically smart, which is the idea of like he understands processes and how humans behave really well. And so he's always thinking like, hey, you know, ex ante or like, you know, if I'm looking at something that's about to unfold, could I have predicted this ahead of time? And he always just asks himself that question.

So he's built up a really rich perspective of the fallacies that human society has, mimetic behavior that people kind of go out and copy each other with, etc.

So he's built up a really rich perspective of the fallacies that human society has, mimetic behavior that people kind of go out and copy each other with, etc.

So he's built up a really rich perspective of the fallacies that human society has, mimetic behavior that people kind of go out and copy each other with, etc.

I mean, I think we were in late discussions with a lot of investors and then everyone else was like, yeah, let's like, you know, let's pile on in here. It's, you know, it's some of the best money that you can get. And that was a game changer for us.

I mean, I think we were in late discussions with a lot of investors and then everyone else was like, yeah, let's like, you know, let's pile on in here. It's, you know, it's some of the best money that you can get. And that was a game changer for us.

I mean, I think we were in late discussions with a lot of investors and then everyone else was like, yeah, let's like, you know, let's pile on in here. It's, you know, it's some of the best money that you can get. And that was a game changer for us.

Yeah, it was Anne at Floodgate.

Yeah, it was Anne at Floodgate.

Yeah, it was Anne at Floodgate.

We've got a million. And then two months later, Mike actually hears about heavy from his daughter, who was a Stanford student. And I think I'd seen the product was friends. And and then Mike actually comes in. It's like, hey, this is completely different than Elastic or all these other search technologies that I've seen invested. Obviously, he's on the board of Elastic today.

We've got a million. And then two months later, Mike actually hears about heavy from his daughter, who was a Stanford student. And I think I'd seen the product was friends. And and then Mike actually comes in. It's like, hey, this is completely different than Elastic or all these other search technologies that I've seen invested. Obviously, he's on the board of Elastic today.

We've got a million. And then two months later, Mike actually hears about heavy from his daughter, who was a Stanford student. And I think I'd seen the product was friends. And and then Mike actually comes in. It's like, hey, this is completely different than Elastic or all these other search technologies that I've seen invested. Obviously, he's on the board of Elastic today.

So he's like, well, let's just go add some fuel to the fire. How much did he invest in? He, I think, invested like an additional $2 or $2.5 million at the time. So where did the $130 come from? Well, that was years later. This was years later? So this is all in 2020. We end up building a product studio, which is the first to productionize RAG, Retrieval Augmented Generation, also in 2020.