How Soon Will AI Power A Billion Dollar Company Run by One Person? W/ Henry Shi & Guarav Jain | Ep11 скачать в хорошем качестве

How Soon Will AI Power A Billion Dollar Company Run by One Person? W/ Henry Shi & Guarav Jain | Ep11

For the first time on The Pre-Seed Show, Anamitra Banerji brings together two guests—Henry Shi, founder of Super.com, and Gaurav Jain, co-founder of Afore Capital—for a deep dive on how AI is fundamentally changing the way startups are built. Together, they examine how startups are reaching product-market fit faster, hiring less, and raising differently. From companies generating $30M+ in ARR with just 5–10 people, to new funding models like seedstrapping, this episode explores the rise of the AI-native startup. Henry shares how his AI Leaderboard became a pulse-check on efficiency, while Gaurav reflects on backing lean, product-first teams. This conversation unpacks a critical question: what happens when startups can scale without staff? Resources: Check out Afore Capital’s website to learn more: https://www.afore.vc/ Check out Super.com website to learn more: https://www.super.com/ Connect with Henry Shi on LinkedIn:   / henrythe9th   Connect with Guarav Jain on LinkedIn:   / gjainvc   Time-Coded Highlights: [00:05] – Introducing the billion-dollar solo founder hypothesis [00:46] – Why AI-native startups may outperform traditional models [01:30] – Henry’s journey building Super.com to $150M in revenue [02:28] – Gaurav on his experience at Google and in venture capital [04:05] – The AI-native leaderboard: origins and purpose [06:03] – The new startup flex: real revenue over fundraising [07:00] – How companies get featured and verified on the leaderboard [08:34] – The AI efficiency ratio: employees vs. revenue [09:04] – Over half the companies on the leaderboard are profitable [10:14] – Case Study: Gamma’s PLG growth and product-centric strategy [13:25] – Why raising too much capital can backfire [15:53] – Reconciling capital-heavy AI labs vs. lean AI startups [20:00] – The 4 startup funding models: bootstrapping to boot scaling [33:04] – What tasks AI is best at replacing (engineering to support) [40:45] – Could AI actually become the CEO? Who’s really in charge?