Why these thirteen
Most of what we call 'technology' came out of a remarkably small number of places. A handful of corporate research labs that ran on monopoly rents. A handful of universities geographically lucky enough to sit next to capital. A few accelerators, a few mafias, one or two government agencies willing to spend other people's money on long shots. Read carefully, the lineage chart of modern computing is shorter than you think — and the pattern repeats. This site is a study of that pattern.
A century of breakthroughs
Slide through the eras. Each spike is a foundational invention.
Profiles in depth
Founders, inventions, spinoffs, culture, the quote that sums it up.
The genealogy of modern tech
Where one institution ends, the next begins. Walk the tree.
Solid arrows: direct founding lineage. Dashed: significant influence or alumni-led contribution. Hover any node to isolate its network.
Anatomy of an innovation engine
Six traits that show up everywhere. Three myths that don't.
Myth: Lone geniuses
Almost none of these breakthroughs were one person. Shannon had Bell. Page had Brin. Sutskever had OpenAI. Pairs and rooms, not loners.
Myth: Garages built this
The garage is downstream. Upstream is a university lab, a corporate research budget, a DARPA grant.
Myth: VC is the engine
VC is the gearbox, not the combustion. It rides on top of decades of pre-funded research it didn't pay for.
Where the next engines are forming
AI labs. Open-source DAOs. New geographies. Bet at your own risk.
For founders, researchers, policymakers
Five concrete lessons, each backed by a precedent above.
Pick your room more carefully than your idea. The room compounds; the idea probably changes.
Optimize for being in someone's later genealogy chart. The PayPal Mafia photo is only valuable in hindsight.
Publish like Bell Labs did: clearly, completely, with the failures. Reputation flywheels on legible work.
Choose problems older than your tenure clock. Five-year horizons are too short for most real breakthroughs.
DARPA-shaped funding is the most asymmetric tool a government has. Program-manager autonomy is the secret, not the budget.
Universities only become engines when they're next to capital and allowed to be promiscuous about it. The geography is policy.
Monopoly profits funded Bell, AT&T, and IBM research. The trade-off is real — competition policy decides whether the next Bell Labs is possible.