AI Summary
→ WHAT IT COVERS Ajay Kulkarni traces his journey from IoT startup to Tiger Data CEO, exploring how databases evolved from enterprise sales to product-led growth and introducing agentic Postgres capabilities. → KEY INSIGHTS - **Founder authenticity:** Trust your instincts over external advice - Kulkarni learned that changing his natural communication style (cooperative overlapping) weakened his leadership effectiveness and company culture. - **Database evolution:** The industry shifted from CIO steakhouse deals to developer-driven decisions at their computers, requiring databases to embrace open source, cloud-native, and product-led growth strategies. - **Agent tooling design:** Build CLIs with MCP servers baked in as single binaries - this enables both human command-line usage and agent integration without separate API infrastructure. - **AI development velocity:** Teams can go from idea to shipped product in hours instead of months, with 70% of customer code now written by agents rather than humans. - **Skills over agents:** Focus on building composable, teachable skills that empower developers rather than trying to replace them - skills compound over time and integrate better into workflows. → NOTABLE MOMENT Kulkarni describes using Claude Code to build a computer vision pushup-tracking mobile app in 45 minutes, recreating the same childlike wonder he felt using the internet for the first time. 💼 SPONSORS [{"name": "Fly.io", "url": "https://fly.io"}, {"name": "Depot", "url": "https://depot.dev"}, {"name": "Augment Code", "url": "https://augmentcode.com"}, {"name": "Framer", "url": "https://framer.com/design"}] 🏷️ Database Technology, AI Agents, Product-Led Growth, Developer Tools, Postgres