Village Global Podcast approaches startups with a founder's calendar open on the table. The useful question is rarely just what got built. It is what came first, who believed early, why a customer finally bought, and how a market changed enough for the company to exist. Recent episodes are especially focused on that sequencing. Recall Sessions looks at go-to-market as its own discipline, following the first customers, first sales hires, category bets, and awkward moments before a company has a repeatable motion. Nick Mehta's Gainsight story becomes a case study in making customer success real as both a phrase and a profession. Bhavin Shah's MoveWorks conversation centers on selling enterprise AI before the category felt obvious, including the difficulty of reaching buyers who would pay for early software. Tomer London's Gusto episode tracks a stubborn commitment to small businesses, payroll pain, word of mouth, and the pressure to move upmarket. The AI-native CRM discussion with Patrick Thompson and Doug Campbelljohn asks what it really takes to challenge Salesforce when table stakes are already massive. Worldbuilders brings a more thesis-driven frame. Sumit Singh uses the model economy to reason about where AI value might last. Evan Conrad's SF Compute story turns a GPU cluster into a blunt lesson about infrastructure, pricing, reliability, and the economics beneath the AI boom. Dara Lajavardian's Delphi episode adds a human layer, asking why digital minds still depend on connection, belief, and repeated searches for product-market fit. The Parth Patil conversation pushes into coding agents, orchestration, Reid AI, and the strange new work of managing many model-driven agents at once. Across these conversations, the show is casual but not loose. It lets guests talk long enough for texture to accumulate, then pulls the lesson back toward founder judgment, market timing, and practical execution. The result is venture conversation with less theater and more operating memory.