In the recent Acquired podcast episode on Epic Systems, hosts David Rosenthal and Ben Gilbert made an interesting observation about founder Judy Faulkner (at 3:23):
“The distance between Judy Faulkner and Paul Graham is actually not nearly as far as you would think… It's applying computer science principles and common-sense ways of running a company that are obvious to you, but contrarian to the way that most people seem to run companies, and just being a programmer turned business person to its logical extreme.”
At first glance, Faulkner and Graham might seem to occupy very different corners of the tech world—one built a dominant enterprise software company in healthcare, the other co-founded a startup accelerator that helped define Silicon Valley's modern era.
But both are examples of technical founders who applied engineering logic and long-term thinking to company-building. They each rejected conventional business norms, opting instead for approaches grounded in simplicity, control, and product focus. Faulkner kept Epic private and founder-led, with no outside funding; Graham backed founders who could build, not just pitch, and structured YC with minimal friction. In different ways, both pushed the programmer-to-founder model to its full potential—applying first principles not just to code, but to organizational design.
In today’s AI-driven landscape, there’s a growing belief that technical depth is being commoditized—replaced by abstraction layers and automated tools. But Faulkner and Graham both demonstrate how a foundational understanding of computer science still provides a significant advantage. It’s not just about writing code; it’s about systems thinking, abstraction, scalability, and knowing when complexity is necessary versus when it’s a liability. As AI tools proliferate, the ability to reason about underlying structures—and to build organizations with the same clarity and discipline—remains as valuable as ever.