Profile 8 min read

Lessons from Jason Lemkin

Jason Lemkin founded EchoSign and built SaaStr into a major community for software founders. His benchmarks for scaling a SaaS company from zero to $100 million in recurring revenue translate growth stages into concrete operating guidance for founders.
Profile 10 min read

Lessons from Brian Armstrong

Brian Armstrong co-founded Coinbase to simplify buying and storing cryptocurrency, then argued for an apolitical workplace focused on product. His experience connects infrastructure scaling, leadership under stress, and the boundaries companies set around mission.
Profile 9 min read

Lessons from Lex Fridman

Lex Fridman, a computer scientist, studies human-AI interaction and autonomous systems while hosting long-form interviews with engineers, scientists, historians, and athletes. His work examines technology, discipline, and human nature to identify durable operating principles.
Profile 9 min read

Lessons from Rodney Brooks

Rodney Brooks, co-founder of iRobot and Rethink Robotics, builds robots while challenging AI assumptions. His work on subsumption architecture, automation, and tracked predictions asks why physical robots remain harder than software and human-like thought stays distant.
Profile 8 min read

Lessons from Denny Zhou

Denny Zhou, a Google DeepMind research scientist and founder of its Reasoning Team, helped author Chain-of-Thought prompting. His work examines how generating intermediate steps can move language models beyond simple text prediction toward structured problem-solving.
Profile 11 min read

Lessons from Sergey Levine

Sergey Levine, UC Berkeley professor and Physical Intelligence co-founder, studies how robots learn through trial and error rather than rigid programming. His research asks if reinforcement learning, offline data, and physical interaction can produce machine intuition.
Profile 8 min read

Lessons from Yejin Choi

Yejin Choi, a computer scientist and MacArthur Fellow, researches common sense and moral reasoning in AI. She rejects the belief that larger models will repair their own flaws, emphasizing algorithmic efficiency, pluralistic values, and intelligence’s unspoken rules.
Profile 8 min read

Lessons from Jitendra Malik

Jitendra Malik, a UC Berkeley professor and computer vision researcher, developed early methods for image segmentation and object recognition. His case for physical, sensorimotor intelligence poses a reciprocal challenge: machines must move to see and see to move.

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