The vocabulary every founder now uses — pivot, MVP, validated learning. Worth reading because most people quote it second-hand without ever reading the actual book.

The discipline that became Customer Development, which became Lean Startup. Worth reading the original because Blank's argument is sharper than its derivatives.

Whether you agree with Thiel or not, he forces you to think about what makes a genuinely new venture rather than a marginal improvement. Worth disagreeing with carefully.

The book that turned 'disruption' from a vague metaphor into a specific institutional dynamic. Most people quote the conclusion without reading the supporting argument.

The book to read after you've absorbed Ries and Blank. Where the methodology stops applying and real judgment starts.

My MS&E colleague Kathy Eisenhardt's most accessible synthesis of her foundational research on strategy in dynamic environments. The argument that a handful of simple rules outperforms elaborate strategy in fast-moving markets is one of the most useful frameworks I've encountered for thinking about founder decision-making.

Two long-time Amazon executives on the PR-FAQ method — writing the press release and FAQ for a product before any code is written. A discipline that has migrated out of Amazon into how serious product organizations now decide what to build. Worth reading alongside Customer Development.

Why Silicon Valley beat Route 128. Foundational text for thinking about ecosystem dynamics. I assign chapters to almost every entrepreneurship class.

How returning Indian and Chinese immigrants reshaped the global geography of technology entrepreneurship. Anchor text for thinking about cross-border founder networks.

The foundational SPRIE volume on Silicon Valley as an innovation ecosystem — edited by William Miller (my longtime collaborator on the Stanford alumni economic-impact study) and colleagues at Stanford's Asia-Pacific Research Center. The closest thing to a textbook on what makes the Valley work institutionally.

My doctoral advisor's foundational study of MIT entrepreneurship. The methodology and many of the questions in my own research trace back to this book.

Why government efforts to engineer entrepreneurship usually fail. Required reading before designing any public entrepreneurship program.

The counterargument to Lerner: public funding is foundational to most 'private' innovation success stories. Worth reading both sides.

Historian's account of how Silicon Valley actually got built — the federal money, the universities, the institutional networks that the founder mythology airbrushes out. Pairs well with Saxenian and Miller on the institutional ecosystem side.

The actual working textbook for the Customer Development approach. What I assign for Customer Development modules in E145.

MIT's textbook approach to building a startup. Useful for students who want a step-by-step framework alongside the looser Lean Startup material.

The book I most often recommend to first-time-thinking-about-entrepreneurship undergraduates. Stanford colleague's clearest writing on creative confidence.

The textbook I teach from in E145. Tom Byers is the STVP co-founder and the steady hand behind two decades of Stanford entrepreneurship education — this book is the most complete classroom treatment of technology entrepreneurship as a discipline.

Savoia's framework for pretotyping — building cheap, fast fakes of a product to test whether people actually want it before committing to a real prototype. The most underrated discipline I teach. The methodology shows up across the customer-development literature but Savoia is where you find the cleanest version of it.

How to talk to customers without asking leading questions that produce comforting lies. Short, practical, and quietly became required reading in serious entrepreneurship classes. I assign it before any student goes out to do customer interviews.

Behavioral economics canon. The framing of System 1 vs System 2 thinking shows up in how I think about founder decision-making and angel investing.

Why how you think about your own ability matters as much as the ability itself. Stanford colleague; the underlying research is more careful than the popularization suggests.

Duckworth's argument that long-term perseverance matters more than raw talent. I keep returning to it because the empirical work is sharper than the TED-talk version implies.

My MS&E colleague Bob Sutton on what makes a good idea actually spread inside organizations and ecosystems — the gap between knowing what works and getting it adopted at scale. Closely connected to the questions I keep returning to about why entrepreneurship education works in some places and not others.

The most carefully executed early study of generative AI's effect on real workers — a field experiment showing 14% average productivity gains, with the largest effects on the least experienced workers. Brynjolfsson is my co-author on the Nature paper, and this is the work I now point to when founders ask me what the evidence actually says about AI in their teams.