The Best US Universities for Unicorn Founders
Which universities are most likely to “produce” a unicorn founder? The intuitive answer — Stanford, MIT, Harvard — is right by raw count. But the more interesting question is which schools are most overrepresented among unicorn founders, and there the answer looks quite different.
We identified the educational backgrounds of the founders of US-based VC-backed unicorns and compared them against a random sample of VC-backed company founders, matched only by the year of their first VC round. For each university we then calculated an odds ratio: the share of unicorn founders associated with that school divided by the share of matched random-sample founders. An odds ratio above 1.0 means founders from that school are overrepresented among unicorns; below 1.0 means underrepresented.
But story does not end at the US border. Nearly a quarter of US unicorn founders earned at least one degree abroad, and more than a third of US unicorns have at least one foreign-educated founder. The rankings below focus on US schools, but we will turn to the international picture — which countries and universities send the most founders to America’s unicorns — at the end, and in a dedicated follow-up.
The complete ranking is reserved for paid subscribers — attached at the end of this article.
Two rankings: by count and by odds ratio
There are two ways to look at the data, and they tell different stories. The first is by count — how much each school produces in absolute terms. The second is by odds ratio — how overrepresented a school is once you account for how many founders it sends into the venture-backed pool. Each story can be measured at two levels: by unicorns (companies, counted once per school) or by unicorn founders (individual people). We present both levels for both stories. All rankings cover US universities.
By count
Ranked by number of unicorns
By the number of unicorns each school is connected to — counting a company once per school, regardless of how many of its founders studied there — Stanford leads with 113 unicorns, followed by MIT (89) and Harvard (76).
Ranked by number of unicorn founders
Counting individual founders rather than companies shifts the numbers upward — a single unicorn can contribute several founders from the same school. Stanford again leads with 147 unicorn founders, ahead of MIT (117) and Harvard (86). The order at the top is similar, but the gaps widen because schools that frequently supply multiple co-founders to the same company gain ground.
How the unicorn ranking has shifted year by year
The aggregate ranking hides a fair amount of movement. The chart below tracks the top 10 schools by number of unicorns in each vintage from 2017 to 2025. Stanford held the #1 position in most years; Harvard led in 2017 and again in 2023–2024. MIT, Berkeley and Penn appear almost every year, while names like NYU, Princeton, Duke and Caltech move in and out depending on the vintage.
By odds ratio
The count rankings reward size. The odds ratio asks a different question: given how many founders a school produces, how overrepresented is it among unicorns? An odds ratio above 1.0 means overrepresented; below 1.0 means underrepresented. As with the counts, the odds ratio can be measured at two levels — against unicorns (company-level) or against unicorn founders (founder-level).
Here is how to read it. We take the share of unicorns (or unicorn founders) connected to a school and divide it by that school’s share in a matched random sample of VC-backed companies — the baseline for how often its graduates start venture-backed companies at all. The ratio strips out sheer size: a school can produce many founders and still score near 1.0 if few of them reach unicorn status. So an odds ratio of 1.65× for Stanford means a Stanford-linked founder is about 65% more likely to be behind a unicorn than the average VC-backed founder; MIT’s 1.93× means roughly 93% more likely. A value of 0.80×, like Penn’s, means about 20% less likely than average. This is why a school with a small but exceptional cohort can outrank one that simply produces more founders overall.
Odds of producing a unicorn (company-level)
Measured against companies, among US universities connected to at least 10 unicorns, the University of Utah leads at 3.72×, followed by the University of Washington at 2.57× and the University of Arizona at 2.23×. MIT (1.82×) and Stanford (1.67×) clear the bar comfortably despite their large volume.
Odds of producing a unicorn founder (founder-level)
Measured against individual founders, among US universities with at least 10 unicorn founders, the University of Utah again leads at 3.36×, followed by Vanderbilt at 2.13× and MIT at 1.93×. The University of Arizona, Georgia Tech, Emory and Syracuse all sit ahead of, or alongside, names like Yale on a per-founder basis. The two odds rankings agree closely at the top — Utah, Washington, MIT and Stanford appear high in both — but the ordering shifts in the middle depending on whether you count companies or people.
What the rankings show
Three patterns stand out when you read the two stories together.
First, the count rankings are dominated by large, elite US universities, while the odds rankings surface names that volume alone would hide — the University of Utah, the University of Washington, Vanderbilt and the University of Arizona all clear Stanford on a per-school basis at both the company and founder level.
Second, several familiar names do not hold up once you control for overall founder output. The University of Michigan and the University of Pennsylvania rank inside the count top 13 but fall below the 1.0× line on the founder-level odds (0.66× and 0.80×). Harvard, at 1.13×, is only marginally above average. These schools produce many founders; they do not produce disproportionately many unicorn founders.
Third, Stanford and MIT are the only universities near the top of every ranking — first and second by both unicorn and founder count, and clearly above average on both odds measures. High volume and high overrepresentation at the same time is rare.
It is not just the school — it is the network
A university’s ranking captures only part of the story. The other part is who you meet there. Co-founders often share an alma mater — scientists call this homophily, the tendency to collaborate with others of the same kind, or, as the saying goes, birds of a feather flock together.
DoorDash’s founders met at Stanford. Wayfair’s Niraj Shah and Steven Conine studied engineering together at Cornell. The seven co-founders of Databricks came out of UC Berkeley’s AMPLab. These are not coincidences.
The effect is far stronger at some campuses than others. Looking at every US school connected to at least 20 unicorns, we measured the share of each school’s unicorns that have two or more co-founders who studied there. Brigham Young University leads at 30%, with MIT close behind at 29% — nearly a third of MIT-linked unicorns have at least two MIT founders. Stanford sits at 28% and Georgia Tech at 26%. At the other end, large schools like Penn and UT Austin land near 12%, producing founders who more often pair up with people from elsewhere.
Studying at the same school is not the same as studying there together. The darker portion of each bar shows the share where the co-founders’ years of attendance actually overlapped — they were on campus at the same time. At MIT and Georgia Tech most same-school pairings overlapped in time; at others, such as UCLA and Wisconsin, many founders attended the same school years apart and likely met later. The strongest signal is not just a shared alma mater but a shared moment there.
Stanford and MIT produce the most of these same-school founding teams in absolute terms: 72 and 45 unicorns respectively had two or more founders from the school, with 45 and 34 of those pairs overlapping in time. Harvard follows with 35 (23 overlapping) and Berkeley with 22 (12 overlapping).
What to look for in a university
If the goal is to maximize the odds of building or backing a unicorn, the data points to a few things that matter more than prestige alone.
1. Overrepresentation, not headcount. The schools that produce the most founders are not always the ones that produce disproportionately many unicorn founders. Look at the odds ratio, not the raw count — Penn (0.80×) and Michigan (0.66×) sit below average despite large founder pools.
2. A dense, collaborative cohort. The homophily data shows that founding teams form inside tight networks. Schools where co-founders not only share a campus but overlap in time — BYU, MIT, Georgia Tech — are where co-founder pairings most reliably happen.
3. Proven team-formation track records. MIT and Stanford are the only two schools near the top of both the volume and odds rankings — high output and high overrepresentation at once. UC Berkeley’s AMPLab and Stanford’s networks repeatedly produce whole founding teams.
4. Pipelines, not just brands. Within the US, schools like Utah and Washington punch above their brand on a per-founder basis — a reminder to look for institutions plugged into a strong founder ecosystem, not just a recognizable name.
For a VC evaluating a founding team, the practical question follows directly from the research: not only “are these people capable?” but “have these people built something together before?” Shared history — a campus, a lab, a former employer — is one of the more reliable signals in the data.
