Latest Interviews
Showing 1–3 of 3 interview transcripts.
Clear all filters- Sequoia Capital43 min
The Wartime CEO: Vlad Tenev of Robinhood
Robinhood CEO Vlad Tenev leverages a "wartime mentality" to navigate high-stakes crises like the GameStop frenzy and 2022 market crash by prioritizing immediate capital raises and transparent communication over panic. By rejecting traditional planning cycles and enforcing a "never waste a crisis" philosophy, the company has successfully pivoted its business model while rebuilding customer trust through sustained product execution rather than short-term fixes. This leadership approach emphasizes operational agility, long-term vision arcs, and direct customer engagement to maintain scalability and stability amid volatile financial landscapes.
- Sequoia Capital48 min
Robinhood ft. Vlad Tenev - Reinventing Finance for a New Generation
Robinhood, Vlad Tenev, Roelof Botha, Micky Malka, Andrew Reed, Jason Warnick, Rolof Buerta, Vladimir Tenev
Co-founded by Vladimir Tenev and Baiju Bhatt, Robinhood disrupted the brokerage industry by introducing commission-free mobile trading that challenged legacy firms like Charles Schwab to eliminate their own fees. The platform weathered critical infrastructure failures during the 2020 pandemic and a controversial 2021 meme stock restriction event that forced the company to secure billions in emergency capital and advocate for regulatory reforms. Having pivoted its strategy in 2022 to serve active traders and diversify revenue beyond equities, Robinhood now operates as a comprehensive financial services platform with eight distinct business lines generating over $100 million each by 2024.
- Sequoia Capital40 min
Why Vlad Tenev and Tudor Achim of Harmonic Think AI Is About to Change Math—and Why It Matters
Vlad Tenev, Tudor Achim, Sonya Huang, Pat Grady
Harmonic, led by Robinhood CEO Vlad Todorovic and co-founder Tudor, is developing math-specialized superintelligence by utilizing the Lean formal verification language to generate synthetic training data and enable objective, self-correcting reinforcement learning. This approach targets the exhaustion of static internet data by creating an unbounded progression of rigorous mathematical proofs, with projected milestones including winning the International Mathematical Olympiad by 2025 and solving Millennium Prize problems by 2029. By shifting human mathematicians toward strategic problem selection and applying this reasoning framework to software verification and theoretical physics, the company aims to achieve superhuman deductive capabilities that transcend the limitations of current large language models.