Daniel He
191 posts

Daniel He
@danyulzz
marketplace lead @mercor_ai / prev founder @rizz_ai (acq) @whiteboardai






How a 22-year-old dyslexic dropout created the fastest revenue-growing business in history—$1M to $500M in just 17 months. @BrendanFoody discovered that AI labs were facing a critical bottleneck: they needed human experts to create "evals"—tests that teach models what correct looks like. His company @mercor_ai began connecting labs with lawyers, doctors, engineers, and other specialists to create evals and training data for models (for $95-500/hour). Today, @mercor_ai works with 6 of the Magnificent 7, all top 5 AI labs, has never had a customer churn, and has a net revenue retention of 1,600%. In my conversation with Brendan, we discuss: 🔸 Why evals have become the primary bottleneck for AI progress 🔸 How exactly Mercor grew to $500M revenue in 17 months 🔸 Brendan’s meeting with xAI that changed his company’s trajectory 🔸 Which skills and jobs will be most valuable as AI continues to advance (hint: jobs with “elastic” demand) 🔸 Why Brendan believes AGI and superintelligence are not happening anytime soon 🔸 The three unique core values that drove Mercor’s success 🔸 How Harvard Lampoon writers are making Claude funnier Listen now 👇 • YouTube: youtu.be/ja6fWTDPQl4 • Spotify: open.spotify.com/episode/3whvAE… • Apple: podcasts.apple.com/us/podcast/why… Thank you to our wonderful sponsors for supporting the podcast: 🏆 @WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: workos.com/lenny 🏆 @Jira Product Discovery—Atlassian's new prioritization and roadmapping tool built for product teams: atlassian.com/lenny 🏆 @enterpret_ai—Transform customer feedback into product growth: enterpret.com/lenny

Mercor (@mercor_ai) scaled from $1-500M in revenue run rate in the last 17 months, making us the fastest growing company of all time. Our growth is accelerating. We averaged 11% week over week growth in July, 18% WoW growth in August, and 19% WoW growth in September. One trend driving this meteoric growth: the Economy is Becoming an RL Environment Machine. Reinforcement learning is becoming so effective that agents can hillclimb any benchmark, but humans need to define the rewards to automate everything. While everyone fears job loss, we’re creating a new category of knowledge work faster than any other time in history. The future of work will converge on training agents. We're paying out over $1M / day to people in our marketplace and hiring experts rapidly across nearly every domain: software engineers, doctors, lawyers, consultants, bankers, and many more.











