In a talk at AI Startup School, Casetext co-founder Jake Heller breaks down how he built and sold his AI legal assistant, CoCounsel, for $650 million. He provides a practical framework for founders on identifying valuable AI business ideas, building reliable products that go beyond simple demos, and creating a go-to-market strategy centered on trust and product quality.
YC partners discuss go-to-market strategies for AI in legacy industries, balancing growth with defensibility, knowing when to pivot even with traction, tackling hard technical problems, and making key hiring and open-source decisions.
Mukhund and Madhav Jha, co-founders of Emergent, detail their journey of building an AI-powered app builder that reached $15M ARR in three months. They discuss their pivot from enterprise agents, the multi-agent architecture that enables production-ready apps, and their vision for a future with a 'billion builders'.
In a conversation with a16z, Databricks CEO Ali Ghodsi and co-founder Ben Horowitz share pivotal stories and lessons from building Databricks. They cover Ali's transition to CEO, the strategies behind scaling an intense yet sustainable culture, the art of high-stakes dealmaking with giants like Microsoft, and the mindset required to turn down lucrative acquisition offers to build a trillion-dollar company.
Jesse Zhang, co-founder and CEO of Decagon, discusses how their AI agents are revolutionizing customer service for large enterprises by replacing mundane human labor. He covers their go-to-market strategy, the importance of a hardworking in-office culture, his journey as a second-time founder, and the future of an agentic world where AIs interact on behalf of companies and consumers.
Bob McGrew, an early executive at Palantir and former Chief Research Officer at OpenAI, explains the Forward Deployed Engineer (FDE) model he helped pioneer. He details its origins, operational structure, and why it has become the dominant strategy for AI agent startups navigating a new market with immense product discovery needs.