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Timestamps are as accurate as they can be but may be slightly off. We encourage you to listen to the full context.
This episode features Vinod Khosla and Keith Rabois, Managing Directors at Khosla Ventures, discussing their unique partnership and investment philosophy. They dive deep into how exceptional founders are identified, the transformative impact of AI on company building, and why traditional venture capital playbooks no longer apply. (02:38) The conversation reveals their contrarian approach to backing bold entrepreneurs while maintaining fierce loyalty to their portfolio companies.
Vinod is an entrepreneur, investor and technologist who formed Khosla Ventures in 2004, focusing on both for-profit and social impact investments including OpenAI, Stripe, and DoorDash. He previously co-founded Sun Microsystems in 1982, serving as its first chairman and CEO, and later joined Kleiner Perkins where he incubated Juniper Networks to challenge Cisco's router market dominance.
Keith is CEO of OpenStore and Managing Director at Khosla Ventures, leading early investments in DoorDash, Affirm, and Faire while investing early in Stripe and co-founding Opendoor. He previously held leadership roles at PayPal, LinkedIn, and Square as COO, and made early personal investments in YouTube, Airbnb, Palantir, and Lyft during his time at Founders Fund.
Great founders must be exceptional in at least one dimension - whether they're the smartest, most tenacious, best at assessing people, or most strategic person you've ever met. (13:36) Keith explains his formula: either meet someone who's top 1 basis point on some dimension, or find someone with a rare Venn diagram overlap of traits. Max Levchin exemplifies this - being both a first-rate technologist and first-rate business mind, a combination found in fewer than five people in Silicon Valley.
In rapidly evolving fields like AI, a founder's learning rate matters more than their existing expertise. (17:50) Vinod emphasizes that most experts are "experts in the previous version of the world, not the one you're trying to create." For YC founders, the most important question becomes: how much have they learned in the last three months? This timeframe is sufficient to determine if someone has a high learning rate.
Traditional company building playbooks are obsolete for AI companies, which grow at unprecedented rates and require different organizational structures. (38:41) Keith notes that product managers don't make sense in rapidly emerging technology fields because you can't create twelve-month roadmaps when capabilities evolve monthly. The pairing of sales teams with research teams, as seen at OpenAI, represents a completely different model than traditional tech companies.
Khosla Ventures deliberately avoided investing in AI co-pilots, instead focusing on AI systems that fully perform jobs rather than assist humans. (31:13) They have 30+ portfolio companies building AI workers across professions - AI oncologists, mental health therapists, chip designers, and structural engineers. The philosophy is that humans often get in the way, so it's better to have AI do the complete work rather than just help humans do it.
The partnership works because both investors practice first principles thinking, making it easy to identify where they agree or disagree and debate specific factors. (02:35) They maintain fierce loyalty to portfolio companies - when Sam Altman was fired from OpenAI, Vinod was the first to publicly offer funding for whatever Sam wanted to do next. This loyalty stems from ethics and the belief that if you have principles and believe you're on the right side, you should use your brand capital to help.