E445: AngelList: Why Picking Winners Is the Wrong Way to Invest in Startups
How I Invest with David WeisburdShow Notes
What if the biggest advantage in venture capital isn't picking winners, but getting access to them?
Erik Syvertsen is GM of Asset Management and Chief Legal Officer at AngelList and Chairman of USVC. Drawing on AngelList's extensive venture investment data, Erik explains why seed and growth investing operate like two different asset classes, why the best startups often command higher valuations from the beginning, and how access drives venture returns. We explore the power law, why doubling down on winners matters, the two strategies for building successful venture portfolios, and the challenges of selling investments in breakout companies. Erik also discusses how USVC aims to expand access to private markets as companies like OpenAI, Anthropic, and SpaceX create enormous value before going public.
More from How I Invest with David Weisburd
Is AI destroying the software industry, or creating its biggest investment opportunity yet?
What if the biggest advantage in institutional investing isn’t finding better managers, but building an organization that can make better decisions over decades? In this episode, I sit down with Tim McCusker, President of NEPC, which advises on approximately $2 trillion in assets, to discuss what separates the best institutional investors from everyone else. Tim explains why even sophisticated endowments and pension funds fall into peer-driven investing, how governance and incentives shape long-term returns, and why the strongest allocators are willing to invest when others are retreating.
What if AI makes software abundant and shifts venture capital’s biggest opportunities into the physical world? Leo Polovets is a General Partner at Humba Ventures, an early-stage deep tech fund investing across robotics, defense, energy, manufacturing, and other physical industries. Leo explains why AI is commoditizing software, why hardware may capture more value as a result, and why some of the best opportunities are hiding in industries with almost no startup competition. We also discuss how to underwrite deep tech before revenue, what separates exceptional founders, the infrastructure bottlenecks created by AI, and why the biggest risk to deep tech may be its dependence on continued funding.
What happens when autonomous underwater vehicles become cheap enough to manufacture at scale?
What if AI makes the founder more important, not less?