In a world pushing you toward hyper-specialization, the deep generalist is the one who connects disciplines and sees patterns others miss. From rugby fields to the first Uruguayan unicorn: a map, not a memoir.

Through the journey of an entrepreneur who navigated from rugby fields to tech unicorns —dLocal, PedidosYa, Farmashop, Akua— this book shows how to turn the breadth of your knowledge into your most powerful competitive advantage.
272 pages in five parts: what patterns are and why AI doesn't think; the silent generalist revolution; whether generalists are born or made; the full path of a generalist in the trenches; and a toolbox to become one.
Three interactive tools from Part V of the book. No signup, no fuss.
The 15 questions from chapter 22. Answer from 1 (never) to 5 (always) and discover your profile.
The shared language for talking about breadth and depth. Which one are you today, and which are you heading toward?
Expert depth in a single domain, little breadth. Essential when the problem is well defined and lives inside one discipline: the vertical bar of the "I" is all depth.
Depth in one area (the vertical bar) plus functional breadth across others (the horizontal bar): they know enough of other disciplines to collaborate. The starting point for most generalists.
Popularized by David Guest (1991) and Tim Brown, CEO of IDEO.Two deep legs —say, tech and business— joined by a layer of breadth. They can already translate between two worlds and spot opportunities neither sees alone.
Several real depth spikes over a broad base. The shape closest to the deep generalist: multiple domains truly worked, not just heard about.
Technical depth combined with leadership: the person who crosses disciplines and also mobilizes teams. Common in founders and CTOs who came up through the trenches.
The book's central idea: someone who dives deep enough into multiple disciplines to see patterns others miss and build bridges where others see chasms. Not knowing a little of a lot: multi-depth + synthesis.
Patterns, J.J. Behrend — chapters 1 and 3.Genuine mastery across very different fields —the archetype is Leonardo da Vinci—. The deep generalist is the pragmatic modern version: focused on solving problems, not collecting knowledge.
Solving a problem in domain A with a pattern learned in domain B: the mechanics of a distribution network applied to supermarket shelves. The muscle the book trains chapter by chapter.
David Epstein's thesis: in "wicked" domains (shifting rules, ambiguous feedback) generalists outperform specialists. Patterns extends that thesis to the AI era and the Latin American arena.
Range, D. Epstein (2019) — recommended companion reading.What a generalist achieves when AI joins as a partner: going deep in a new domain in weeks, orchestrating several intelligences at once and moving at a pace that looks like cheating. It isn't: it's method.
Patterns, J.J. Behrend — chapters 23 and 24.A specialist who learns ten things has ten tools. A generalist who learns ten things has 45 possible connections between them. Success isn't measured in skills learned: it's measured in connections created.
Patterns, J.J. Behrend — chapter 25.How a deep generalist splits their learning time: 60% going deep in strong areas, 20% exploring new fields, 20% on synthesis projects that combine several areas.
Patterns, J.J. Behrend — chapter 25.The full prologue and first chapter, with the book's central thesis: patterns repeat, only the disguise changes.
Download chapterThe 10 principles from the epilogue on a single page, ready to print and hang above your desk.
Download manifestoGeneralist test, generalist-vs-specialist calculator and learning ROI, straight from Part V.
Use the toolsEnglish (Patterns) and Portuguese (Padrões) editions — coming soon.
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Juanjo is cofounder of Akua, where he builds payments infrastructure for Latin America. In under two years they've raised $13M, operate across 5 markets, and are already 70+ people on the team; AWS recognized them as one of the companies worldwide making the best use of AI, and industry leaders point to them as one of the fastest-growing companies in the market. He studied Telecom Engineering, but his career took him places he never imagined: he worked at dLocal when it became Uruguay's first unicorn, led teams of 150+ engineers, and before that built infrastructure teams from scratch at companies as different as PedidosYa, Pomelo and Farmashop, the largest pharmacy chain in Uruguay.
At 18 he founded his first IT services company. He learned to code, to negotiate contracts, to deal with banks and to see that solving real problems requires speaking many languages: code, business, regulation, people. His thesis project won the award for the best engineering project in Uruguay.
He has taught at universities and mentored dozens of projects. He doesn't just teach tech or business: he teaches how to see patterns, how to connect worlds that look separate. He writes this book from the practice of what worked — between code and strategy, between building startups and scaling companies — not from the theory of what might work.
"The deepest innovations don't happen in silos of specialization, but in the in-between spaces where different disciplines meet."
He lives in Montevideo, Uruguay, with his wife and two daughters. When AI changed the rules, he decided to share what he learned about being a generalist in a world that asks you to specialize: what he calls an "unfair speed".
Once a month: one pattern, one tool from the book, and what I'm learning building Akua. No spam.