Lenny Rachitsky: Let's talk about labor markets more broadly. You guys, so it's interesting though. You started not feeding people to AI labs, not training models. It was just like help people find jobs, help companies hire, and then you're like, "Oh wow, this whole opportunity." You have this really interesting view on the future of just labor markets and hiring. Talk about that. Brendan Foody: Yeah, it's interesting. I remember when we started the company, as I mentioned, we were 19, and just had this gut intuition that it felt so wildly inefficient that labor markets are so disaggregated. And what I mean by that is when we would hire someone internationally, they would apply to a dozen jobs. When we as a company in the Bay Area were considering candidates, we would consider a fraction of a percent of candidates that were available in the market. And the reason for that is that there was this matching problem that everyone's solving manually where they'll manually review resumes, they'll manually conduct interviews, and manually decide who to hire. But when we're able to automate that matching problem at the cost of software, it makes way for this global unified labor market that every candidate applies to and every company hires from facilitating a perfect flow of information in the economy.
You started not feeding people to AI labs, not training models.