Brendan Foody: evaluation

Transcript context

…I want to go back to that first point, which is like, OK, you found this pocket, maybe the biggest business opportunity in history. How did you first find what was that moment of like, wait, this could be this could be really big. So there's some crazy stories here. I remember we started the company, as I mentioned, in January 2023 and then in August 2023. When I was still in college, one of our customers introduced us to the co-founders of XAI over a Zoom call saying how we had these really smart Indian software engineers that were great at math and coding. So we met them and we explained how The software engineers we had were really good at math and coding because they weren't distracted by all the humanities. They didn't have to study history and English and all these other things. And they loved it. Right. So they had us in two days later to the Tesla office. And we met the entire XAI co-founding team, except for Elon, while I was still a college student. Right. And XAI was just getting started at that point. And they were super excited about our focus on the quality of the experts. And so while they were still doing pre-training, they weren't ready for human data at the time and we didn't start working with them at that point. We just knew from that point forward before we even dropped out that the market was about to change radically and we needed to be at the frontier of that. And so then fast forward a few months, one of the crowdsourcing players came to us and actually used our platform to hire over a thousand people where this is very interesting experience because we started getting flooded with support tickets about how those people weren't getting paid. And we obviously felt horrible because we had referred them to this opportunity. It was this like reputable company. And we realized that a lot of the incumbents were resting on their laurels with respect to what was needed and the experiences they were creating for talent in their marketplaces to help improve models. And there was this opportunity to work directly with the labs in a way that, you know, kept the dignity of the experts in the marketplace, paid them extremely well and sort of cut out the middlemen. And so we started doing that in May of last year. And then the rest is history. Wow. Hundreds of millions of dollars in revenue since. So what I'm hearing here is you're very open to looking for pull. You saw some pull, you explored it. And then once you saw that there was something really meaningful there, you just went deep on making that an incredible experience as amazing as possible.…

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