"Turpentine VC" | Venture Capital and Investing · Erik Torenberg

E79: Now at $2B Valuation: Mercor CEO On How They Started

·52 min·2 clips

We replaced recruiters with AI that costs pennies per interview but conducts better assessments than humans.

The setup is unusually specific. Turpentine VC runs a six-month-old 1 to 100 interview after Mercor's $2 billion valuation announcement, with Felicis, GC, and Benchmark in the frame. Usman Hanif starts with the growth story, asking how Mercor went from zero to mid-seven-figure revenue in just one year. Brendan Foody describes a staffing business where models review, interview, and match people with jobs. So the company comes across less like recruiting software and more like labor aggregation with AI sitting inside the workflow. The technical section has some grit. Brendan says useful data is subjective, can carry bias, and needs peer review and domain experts around it. He talks about collection, review, model architecture, training, and optimization as connected pieces, all aimed at making the model better at predicting performance. Then Usman pushes the obvious investor question: if other startups can bring AI into hiring, what makes Mercor hard to copy? Brendan's answer has two parts. First, the marketplace should get stronger when supply and demand keep feeding each other through more transactions. Second, usage data adds up. Customer interactions and placement history could help Mercor predict which candidates are likely to work out in later roles, especially if the platform reaches much larger placement volume. The strategic claim is big, but it does not wander too far. Brendan ties the opportunity to the labor market's size, its inefficiency, and the value of proprietary structured performance data. Near the end, he also talks about habit: the applicant experience could become something people return to, not just a one-time application. Even with the valuation hook, the best parts are the market structure, the data moat, and the question of whether hiring can become a repeat-use platform. The host closes by pointing listeners toward Mercor, job seekers, and Brendan, then asks for Turpentine reviews and ratings.

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