Gareth Yoder of Vanguard describes modernizing a cash ledger handling up to 30 million calls per day by running data, producer, and consumer migrations in parallel. Key themes include exposing legacy code to AI through an MCP server, reducing a seven-day research cycle to fifteen minutes, reimagining rather than lifting and shifting, and maintaining observability throughout the migration.
Kastle founders Rishi and Nitish discuss their journey building AI employees for banks, from a difficult pivot before YC Demo Day to processing billions in transactions. They share insights into finding product-market fit in a highly regulated industry, ensuring AI reliability and compliance despite non-deterministic LLMs, and their vision for automating financial operations.
Max Levchin and Alex Rampell dive into 25 years of fintech evolution, from the surprising persistence of the card interface and the origins of Affirm's unique 'real 0% APR' model and negative customer acquisition cost, to the future prospects of AI-driven agentic payments versus shopping.
Patrick Collison, co-founder of Stripe, discusses the enduring value of human cognitive abilities in the age of AI, shares his unique perspective on dropping out of college, and explains Stripe's unconventional launch strategy. He critically examines the "lean startup" methodology in an AI-driven world and highlights how Stripe's data indicates an unprecedented boom in new businesses, faster growth, and a decentralized, prosperous future, challenging common fears about AI's centralizing impact.
John Glasgow, founder of AI-native ERP Campfire, discusses his journey from a Google Sheets MVP to displacing NetSuite. He covers the importance of founder-led sales to $1M ARR, using a narrow feature set as a wedge into the market, and how the rise of AI flipped the script on what constitutes a "safe" enterprise software choice.
Colin Griffin and William Rizzo discuss the future of platform engineering, emphasizing the need to move beyond one-size-fits-all frameworks. They explore how different industries like fintech, telco, and automotive require tailored platforms due to unique regulatory and business challenges. The conversation highlights the growing pressure to link platform investments to clear business outcomes and details the infrastructure reckoning caused by large-scale GPU investments for AI, which brings hardware and network orchestration to the forefront.