Moats — 80 Strategies for Competitive Advantage
Steph Ango's one-page taxonomy of eighty competitive strategies — a "moat" being any durable asymmetry that lets an organism, person, product, or network outcompete its rivals — each named, defined in a sentence, and illustrated with examples drawn equally from biology and business. It reads as a pattern language for winning, cataloguing the full menu of edges rather than advocating any single one.
Key Quotes
"Why do people flock to something? What creates an edge, an advantage, a moat? How do things win, or at least survive, in a highly competitive landscape?"
The opening frame. Ango collapses the distinction between biological fitness and business strategy on purpose: a moat is a moat, whether it's built by a baleen whale's filtering or Visa's ubiquity. The deliberate breadth ("organisms, people, products, organizations, networks") is the piece's quiet thesis — competition has a shared grammar across scales.
"Successful things tend to optimize competency on a narrow set of strategies, often a unique and unusual combination of strategies."
The closest thing to a single takeaway in a piece that is otherwise a list. It isn't that winners do more — it's that they do a few things unusually well, and often combine strengths that don't normally co-occur. "Hybrid" is itself one of the eighty: "blending of two strengths not usually found together," exemplified by frogs, cronuts, and amphibious vehicles. This is the anti-synergy, pro-weirdness view of competitive advantage.
"Organisms, people, products, organizations, networks. All are able to overcome competitors and accumulate energy by developing strengths along certain vectors."
"Accumulate energy" is the tell — Ango is writing in the idiom of ecology, where fitness means energy capture, not profit. The taxonomy is deliberately amoral: it lists "violence," "parasitism," and "puppeteering" (Cordyceps, toxoplasma) alongside "reliability" and "transparency" with no moral ranking. That's a feature, not a bug — it's a field guide, not a code of conduct.
Key Themes
- #concept Moats as durable asymmetries: Any edge along a vector that competitors can't easily match — heritage, secrecy, chokepoint, curation — counts. Notably, "data" and "speed" appear nowhere as standalone strategies, which aligns with Building When It Feels Like There's Nothing Left to Build's argument that "data is not a moat, it's just expensive."
- #pattern A pattern language for strategy: Eighty named strategies in thirteen categories, each with a problem/solution/example shape. It is A Pattern Language (Christopher Alexander) transposed from buildings to competition — and a cousin of TRIZ's 40 inventive principles, but descriptive where Alexander is prescriptive and TRIZ is procedural. Its mirror image is Startup Anti-Patterns: the same named, list-based grammar with the sign reversed, cataloguing how things lose rather than how they win.
- #concept Biology as the strategy library: Predators, parasites, chameleons, baleen whales, dandelions, and aspen groves are cited as freely as Walmart, Visa, and Coca-Cola. The cross-domain examples argue that competitive strategy predates business — it's a property of life, not of markets.
- #pattern Combination over selection: The edge is rarely a single strategy; it's an unusual combination. Cronuts (hybrid), bespoke tailoring (craftsmanship), and Stripe (composability) each mix vectors a competitor would have to replicate wholesale.
- #tool A diagnostic checklist: Read as a lattice, not a list, the taxonomy is a way to audit your own position — which vectors do you actually hold, which are you borrowing, which is your competitor about to buy? This is its practical value independent of any single insight.
Critical Analysis
The strength is the table. Ango does almost no argumentation — three framing sentences, then eighty rows of a table. That restraint is the point: the taxonomy is the insight. You could spend a year unpacking why "skimming" (credit cards, baleen whales, planktivores) and "bundling" (Microsoft Office, cable channels, seeds in a fruit) belong in the same mental category, and that cross-pollination is exactly what a prose essay couldn't deliver.
The weakness is the flatness. Eighty equally-weighted strategies is honest but under-powered. Not all moats are created equal: "usership" (network effects) compounds, while "scarcity" (NFTs) is a one-shot trick, and "secrecy" has a half-life that "heritage" doesn't. The taxonomy tells you the menu but not the prices. For that you need the economics AI Will Not Make You Rich supplies — that most of the value a technology creates flows to customers, not to the builder holding the moat.
The moral neutrality is doing real work. By listing "violence," "litigation," and "puppeteering" without comment, Ango forces the reader to notice that the taxonomy is descriptive of what works, not what's good. The same frame that names Zippo's reliability also names Stuxnet's sabotage. This is the honest version of "moat" discourse, which usually pretends to be about craftsmanship while quietly describing rent-seeking.
It's a map of the pre-AI world, and that's its value. Read against the 2026 landscape — Why Open Source Matters for AI declaring modularity the moat, Building When It Feels Like There's Nothing Left to Build declaring data not-a-moat — Ango's list is a reminder that competitive advantage has never been one thing. "Modularity" is strategy #73 of eighty; its rivals (bundling, completeness, secrecy) are sitting right next to it. When commentators name a single "the moat," they're doing marketing, not taxonomy.
The strangest and best entry is "nettlesomeness." "Causes the opponent to make mistakes — Magnus Carlsen, terrorism." It's the only strategy defined by its effect on the other player's cognition rather than a resource you hold. In a world of agents whose failure modes are Constraint Decay and Prompt Debt, a strategy that provokes mistakes rather than accumulating advantages may be more relevant than any of the accumulation strategies.