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Michael Moritz moved from Time reporter to longtime Sequoia Capital investor, bringing a journalist’s curiosity to early technology companies. His perspective connects extreme patience, difficult-founder psychology, and the outsider’s enduring advantage in recognizing unusual potential.
Elad Gil is an operator and investor who experienced steep growth inside Google, Twitter, Stripe, and Airbnb. He treats hypergrowth as an operational problem, specifying practical mechanics for hiring, distribution, corporate development, and organizational scale.
Aileen Lee coined “unicorn” for rare startup valuations, then founded Cowboy Ventures and co-founded All Raise. Her investment thinking joins capital efficiency with structural diversity, sharpening how early-stage investors evaluate markets and billion-dollar potential.
Esther Dyson moved from analyzing the early internet to testing preventative community health through Wellville. Her work across investing, governance, and commercial spaceflight confronts a stubborn problem: building systems that genuinely serve human resilience.
Zach Lloyd founded and leads Warp, an AI-integrated developer terminal, after engineering leadership on Google Sheets and Docs. His advice connects team management, the hazards of sweeping code rewrites, and a shift toward agent-driven development.
Vipul Ved Prakash is a software engineer and entrepreneur behind Vipul’s Razor, Topsy, and Together AI. His perspective links open-source philosophy with generative-model architecture and the demanding mechanics of distributed, planetary-scale data systems.
Varun Mohan co-founded Codeium and the Windsurf IDE after pivoting Exafunction from GPU infrastructure toward applications. His reasoning treats raw compute as a future commodity and emphasizes deep-learning latency, concentrated talent, and unglamorous growth mechanics.
Thomas Wolf co-founded Hugging Face and helped build the Transformers library, accelerating modern machine learning’s adoption. Drawing on quantum physics and patent law, he examines scaling limits, open-source AI, community science, and research democratization.