Brendan Foody: commitment

Transcript context

…Okay, so let's kind of build on this and zoom out a little bit and talk about the landscape of the market that you're in. And I was just reflecting on this as I was preparing for this conversation. If you think about the companies growing faster than any company's ever grown in history, there's essentially three buckets. There's the foundational model companies. There's Vibe Coding Apps, Cursor and Lovable and Bolt and Replit and all these V0. And then there's data labeling data companies like you. So I've had the CEO of Handshake on the podcast. I have the CEO of Scale coming on. There's also Surge. There's you guys. Help us just understand the landscape of what this is all about. Because I think people don't really know what the hell is going on and see all these companies growing like crazy. Yeah, I'll give a little bit of the origin story and that and how it sort of frames the landscape. Because when we started the company, I met my co-founders when we were 14 years old. Uh, we started the company together when we were 19 initially hired in January, 2023, initially hiring people internationally, matching them with our friends and automating all the processes of how we did that. So similar to how a human would review a resume, conduct an interview and decided to hire. We automated all of those processes with LLMs, bootstrapped the company to a million dollar revenue run rate before we dropped out of college. And then a handful of other things happened, but we met OpenAI and we saw that there was this enormous transition in the human data market where it was moving away from this crowdsourcing problem of how do you find low and medium skilled people that can write barely grammatically correct sentences for early versions of LLMs and moving towards this sourcing and vetting problem. How do we source and assess the best professionals, the experienced Thang software engineers, the investment bankers and doctors and lawyers that can actually help to evaluate and interpret all of the capabilities that people want models to have? So from there, we started working with all of the top AI labs. We grew from one to 400 million in revenue run rate in 16 months. And it's been an extraordinary journey and super exciting. OK, first of all, that is out of control. I don't know if people have understood. I think this is the first time you're sharing that number. I know recording this. You'll have announced it by now. But one to four hundred million dollars in revenue in 16 months.…

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