Ilya Strebulaev, Author at SA国际传媒 News Data-driven reporting on private markets, startups, founders, and investors Mon, 12 May 2025 21:14:16 +0000 en-US hourly 1 https://wordpress.org/?v=6.8.5 /wp-content/uploads/cb_news_favicon-150x150.png Ilya Strebulaev, Author at SA国际传媒 News 32 32 The Immigrant Edge: How Foreign-Born Entrepreneurs Drive America’s Unicorn Boom /venture/foreign-born-entrepreneurs-drive-americas-unicorn-boom-strebulaev-stanford/ Tue, 13 May 2025 11:00:59 +0000 /?p=91638 The next time someone talks about restricting immigration, show them this: Nearly half of America’s billion-dollar startups were founded by people born outside the United States. Our research at s Venture Capital Initiative shows that immigrant entrepreneurs aren’t just contributing to the U.S. innovation ecosystem 鈥 they’re helping to lead it.

44% of US unicorn founders are immigrants, with India leading

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The analysis of 1,078 founders behind 500 U.S. unicorns found that 474 founders 鈥 44% 鈥 were born outside the United States. Nearly half of America’s most successful entrepreneurs came from somewhere else.

India tops the list with 90 unicorn founders, including of and of .

Israel follows with 52 founders, including of , of , and of . From Canada, we have 42 founders, including of , of , and of .

The trend extends well beyond these top contributors. Our research identified unicorn founders from 65 different countries spanning six continents. Each region has its standouts:

  • Europe: The U.K. (31 founders), Germany (18), France (17), and clusters from Belgium, Netherlands, Spain and others;
  • Asia: India leads, followed by China (27) and Taiwan (12), plus contributions from Japan, Pakistan and elsewhere;
  • Latin America: Brazil (9), Argentina (4) and Guatemala (2);
  • Africa: South Africa (5) and Zimbabwe (2); and
  • Oceania: Australia (8) and New Zealand (6).

When of arrived from Southern Rhodesia (now Zimbabwe), of Cloudera from Egypt, and of from Guatemala, they didn’t just bring their talents 鈥 they brought diverse perspectives that helped them spot opportunities others might miss.

Why moving to America works

It’s not just about who comes to America 鈥 it’s also about companies that make the move. Our data shows that 8% of U.S. unicorns (88 out of 1,108) were initially founded outside the United States before relocating.

The relocation effect is powerful. Israeli startups that moved to the U.S. were 9x more likely to achieve unicorn status than those that stayed home. The pattern holds for other countries too: Indian startups that relocated to the U.S. enjoyed a 6.5x advantage, while U.K. companies saw their chances improve by 2.5x.

These aren’t just statistics 鈥 they’re success stories like Slack (from Canada), (from Denmark) and (from the U.K.). This pattern suggests that while great ideas can start anywhere, the American ecosystem offers unique advantages for scaling.

Where do international unicorns land?

When international founders come to America, they don’t all head to the same place. While California remains the magnet attracting unicorns from around the world, we found interesting patterns in where companies choose to establish themselves.

For unicorns leaving Israel, New York often proves more attractive than California. Meanwhile, 15% of all U.S. unicorns have changed their headquarters at least once between founding and reaching unicorn status. The most frequent destinations? California, New York, Massachusetts and Texas.

These location choices matter. Local ecosystems, regulatory environments and talent costs all factor into a startup’s chances of success. For international founders, picking the right location in the U.S. can be as strategic as the decision to relocate in the first place.

US unicorns employ talent globally, not just locally

The impact of international talent extends far beyond founding teams. When we analyzed the employee locations of 191 California-based unicorns, we found that only 38% of their 375,000 employees were actually in California. About a third were elsewhere in the U.S., and nearly a third were overseas.

India stands out here too, accounting for 6% of California unicorns’ global workforce 鈥 the largest international concentration. Other notable examples include ‘s 17% workforce in Argentina, ‘s 21% in the Philippines, and ‘s 12% in Chile.

Israeli immigrants create unicorns at highest rate per capita

Here’s where the story gets even more interesting. When we compared the number of unicorn founders from each country to their share of first-generation immigrants in the U.S. population, we found striking variations in 鈥渦nicorn productivity.鈥

Israel leads dramatically, with 43.4 unicorn founders per 100,000 first-generation Israeli immigrants. New Zealand follows at 37.3 and Belgium at 24.4. By comparison, India’s rate is just 2.5 per 100,000 first-generation immigrants, while Canada’s is 5.3.

This doesn’t diminish India’s contribution 鈥 90 unicorn founders is still the highest absolute number from any country. But it suggests that different immigrant communities may have different paths to entrepreneurial success in America, influenced by factors like education, professional networks and access to capital.

Why this matters: innovation’s global roots

What’s clear from our research is that America’s innovation ecosystem thrives on global talent. The nearly even split between U.S.-born and immigrant founders suggests a powerful complementarity 鈥 different backgrounds and perspectives combining to create something greater than either could alone.

For policymakers, the message is straightforward: Attracting and retaining global talent remains crucial to maintaining America’s edge in creating high-growth companies. For entrepreneurs, it suggests that the American dream of building a world-changing company remains very much alive, regardless of where your journey began.

And for everyone interested in what drives innovation, our findings offer a reminder that breakthrough companies often emerge when different worlds collide 鈥 when founders bring perspectives from one context and apply them to challenges in another.

In the end, the story of unicorn creation in America is increasingly a global one 鈥 where the best ideas and most determined entrepreneurs find their way to an ecosystem that helps them scale, regardless of where they were born.


is the foremost academic expert on venture capital. As the founder of the Venture Capital Initiative and a professor of private equity and finance at , where he teaches a popular class on venture capital, his research has been widely published in leading academic journals and featured in , , and the . He frequently leads workshops and executive sessions for senior business and government leaders around the world and has consulted for companies and investors on the venture industry trends and corporate innovation. In 2023 he was named a Top Voice on . ().

Note on methodology and sources

For this study, we define unicorns as VC-backed, U.S.-based companies that achieved a confirmed $1 billion-plus post-money valuation in a primary private round or had a liquidity event (such as an IPO or an acquisition) at a confirmed $1 billion-plus valuation between 1997 and 2021. To construct our unicorn list, we started with 鈥渦nicorn candidates鈥 from well-known sources such as and , as well as from datasets that report private funding round and liquidity event details, such as SA国际传媒, and . We then manually confirmed and cross-checked the location and funding details to decide on the inclusion of each company in our final unicorn list. This process resulted in a total of 1,110 unicorns. For each unicorn we also identified a peer U.S.-based VC-backed company that raised its first venture round in the same year. We call the sample of such peers a random sample. For each of the companies in the unicorn and random samples we identified founders and co-founders (we use 鈥渇ounder鈥 and 鈥渃o-founder鈥 interchangeably) from all the sources mentioned above, LinkedIn, public filings, and many others. In total, we identified and confirmed 4,975 founders (different data exercises may use subsamples of this data).

Further reading:

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Google, Stanford And The IDF: Professional Backgrounds Of Unicorn Founders /startups/google-stanford-and-the-idf-professional-backgrounds-of-unicorn-founders/ Thu, 13 Mar 2025 11:00:37 +0000 /?p=91216 Before co-founded , he was a dishwasher at Denny’s, but most unicorn founders get their start in far more predictable places. The Stanford GSB Venture Capital Initiative team and I analyzed 2,791 founders behind 1,110 U.S.-based VC-backed unicorns to understand their professional backgrounds.

The data shows that they developed their skills at tech giants, elite universities and even military organizations. Four in 10 unicorn founders previously founded other companies, and former personnel are 3x more likely to build U.S.-based unicorns than average.

From employees to entrepreneurs

One quarter of unicorn founders previously worked in scientific research or technology development. Another 22% had already led companies as CEOs, while 9% served as CTOs before launching their unicorns.

Engineers (21%), software engineers (17%) and product managers (14%) round out the most-common background roles 鈥 a clear pattern showing that leadership, technology and marketing skills form the foundation of unicorn founder success.

Source: https://www.linkedin.com/in/ilyavcandpe/

Source:

This professional background matters significantly. The data shows unicorn founders previously worked at 6,109 different organizations, but only 33 entities produced 15 or more future unicorn builders. It’s no coincidence where these future unicorn builders come from 鈥 almost half of the top 33 organizations that produce them had VC funding themselves.

Source: https://www.linkedin.com/in/ilyavcandpe/

Tech giants serve as particularly effective training grounds. Google alone produced 96 unicorn founders, followed by (64) and (42).

Elite universities also function as powerful launchpads, with (43 founders), (40) and (33) leading the pack (these are for founders who worked at these universities rather than those who studied). Financial powerhouses such as (27 founders) and government agencies including (19 founders) complete the picture.

Serial entrepreneurship: Practice makes perfect

Source: https://www.linkedin.com/in/ilyavcandpe/

Our research shows that 40% of unicorn founders had previously started other companies, and 60% of unicorns have at least one serial entrepreneur on their founding team. The path to a billion-dollar success often involves previous ventures 鈥 both successes and failures.

Source: https://www.linkedin.com/in/ilyavcandpe/

Still, the majority (60%) of unicorn founders hit it big on their first attempt. , for instance, co-founded without any prior experience as a founder.

One quarter needed a second try, like who created after first building a social platform for mobile games. Another 9% succeeded on their third attempt 鈥 including , who co-founded after starting two B2B firms 鈥 while 6% required four or more ventures before achieving unicorn status.

We also found interesting patterns across industries: financial services companies show the highest rate of serial entrepreneurs (61%), while healthcare unicorns have fewer prior founders (31%) compared to information technology (38%).

Unexpected unicorn factories: Military and government experience

Some of the most intriguing findings come from less obvious unicorn talent sources.

Founders with Israel Defense Forces experience are 3.1x more likely than average to build U.S.-based billion-dollar companies. Other government and research organizations also outperform expectations, including (2.1x), the (1.7x) and (1.6x).

Source: https://www.linkedin.com/in/ilyavcandpe/

These organizations likely instill valuable skills that transfer to entrepreneurship 鈥 strategic thinking, mission focus, technological expertise and performance under pressure.

The path to success: What founder backgrounds tell us

If you’re dreaming of founding the next unicorn, our findings deliver a mix of good news and reality checks. On the one hand, certain professional backgrounds clearly correlate with unicorn-building success. Time at top tech companies, elite universities or specific government organizations appears to provide valuable preparation for future founders.

At the same time, the significant percentage of founders who succeed after multiple attempts demonstrates that persistence matters. For those whose current ventures aren’t performing as hoped, the data suggests that learning from failure and trying again often leads to eventual success.

Our research paints a clear picture of what it takes to build a unicorn. Yes, where you worked matters 鈥 plenty of founders come from Google and Stanford 鈥 but the door isn’t closed to others who gain the right experience and don’t give up after failure.


is the foremost academic expert on venture capital. As the founder of the Venture Capital Initiative and a professor of private equity and finance at , where he teaches a popular class on venture capital, his research has been widely published in leading academic journals and featured in , , and the . He frequently leads workshops and executive sessions for senior business and government leaders around the world and has consulted for companies and investors on the venture industry trends and corporate innovation. In 2023 he was named a Top Voice on . ().

Note on methodology and sources

For this study, we define unicorns as VC-backed, U.S.-based companies that achieved a confirmed $1 billion-plus post-money valuation in a primary private round or had a liquidity event (such as an IPO or an acquisition) at a confirmed $1 billion-plus valuation between 1997 and 2021. To construct our unicorn list, we started with 鈥渦nicorn candidates鈥 from well-known sources such as and , as well as from datasets that report private funding round and liquidity event details, such as SA国际传媒, and . We then manually confirmed and cross-checked the location and funding details to decide on the inclusion of each company in our final unicorn list. This process resulted in a total of 1,110 unicorns. For each unicorn we also identified a peer U.S.-based VC-backed company that raised its first venture round in the same year. We call the sample of such peers a random sample. For each of the companies in the unicorn and random samples we identified founders and co-founders (we use 鈥渇ounder鈥 and 鈥渃o-founder鈥 interchangeably) from all the sources mentioned above, LinkedIn, public filings and many others. In total, we identified and confirmed 4,975 founders (different data exercises may use subsamples of this data).

Illustration:

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The Unicorn Founder Myth: Why Education Actually Matters /edtech/unicorn-founder-myth-education-matters-strebulaev-stanford/ Mon, 24 Feb 2025 12:00:11 +0000 /?p=91076 Between the myth of the brilliant college dropout and the reality of founder education patterns, what does the data actually tell us? Venture Capital Initiative’s team and I researched the educational backgrounds of founders from more than 1,000 U.S. venture-backed companies that achieved unicorn status, and the findings challenge popular narratives.

While stories of dropouts-turned-billionaires 鈥 like , who left in his sophomore year to found 鈥 capture the public imagination, our data reveals that unicorn founders are significantly more educated than the general population. They are 6x more likely to hold a doctoral degree, 3x more likely to have a master’s degree, and twice as likely to have completed undergraduate studies compared to the average U.S. person over 25 years old.

 

 

Chart source:聽

When it comes to higher education institutions, Stanford, and Harvard consistently lead in producing unicorn founders. For undergraduate degrees, Stanford tops the list with 122 founders, followed by MIT with 87, and Harvard with 73. , and complete the top tier, with 60, 45 and 45 founders, respectively. (The table compares our ranking based on numbers of unicorn founders who pursued undergraduate degrees at these colleges with the 2025 ranking by .)

These numbers tell only part of the story. Another important statistic is the 鈥渦nicorn production rate.鈥 Some unexpected leaders emerge here: the ‘s graduates, for example, are 3.3x more likely to found a unicorn than average, while follows closely at 3.2x. (The way to think about these ratios is as follows: By how much does your chance of becoming a unicorn founder go up if you graduate from this university and found a venture-backed company?)

 

The choice of major shows clear patterns as well. Computer science dominates with more than 500 founders, while engineering follows closely behind. Economics ranks third. Together, these three fields account for 53% of all unicorn founders.

However, the diversity of backgrounds is remarkable 鈥 at least 47 different majors are represented, including some perhaps unexpected fields such as theology, philosophy and anthropology.

The global nature of unicorn creation is also evident in our data. Among 531 U.S. unicorns studied, 266 founders (21%) completed their education outside the United States. leads international institutions with 16 unicorn founders, while the and follow with 11 each.

 

Contrary to common perception, the type of institution 鈥 public or private 鈥 doesn’t significantly impact unicorn-founding odds. Private and public universities have nearly identical “unicorn production rates” when accounting for their graduate population sizes.

What matters more than the type of institution is the depth of education itself: the typical unicorn founder is highly educated. Consider ‘s (Ph.D. in biochemical engineering from MIT), 鈥檚 (M.D. from Columbia) or ‘s and (both Ph.D. dropouts from Stanford’s computer science program). All these founders leveraged their advanced education to tackle complex technological challenges.

Yet the landscape of learning is evolving. While formal education remains a strong predictor of unicorn success, the democratization of knowledge has created new paths to developing deep expertise.

Still, the data suggests that building successful companies of the future often benefits from the knowledge, research mindset and specialized networks developed through formal education. The dropout-to-billionaire path, while possible, remains a captivating outlier rather than a reliable template for entrepreneurial success.


is the foremost academic expert on venture capital. As the founder of the Venture Capital Initiative and a professor of private equity and finance at , where he teaches a popular class on venture capital, his research has been widely published in leading academic journals and featured in , , and the . He frequently leads workshops and executive sessions for senior business and government leaders around the world and has consulted for companies and investors on the venture industry trends and corporate innovation. In 2023 he was named a Top Voice on . ().

Note on methodology and sources

For this study, we define unicorns as VC-backed, U.S.-based companies that achieved a confirmed $1 billion-plus post-money valuation in a primary private round or had a liquidity event (such as an IPO or an acquisition) at a confirmed $1 billion-plus valuation between 1997 and 2021. To construct our unicorn list, we started with 鈥渦nicorn candidates鈥 from well-known sources such as and , as well as from datasets that report private funding round and liquidity event details, such as SA国际传媒, and . We then manually confirmed and cross-checked the location and funding details to decide on the inclusion of each company in our final unicorn list. This process resulted in a total of 1,110 unicorns. For each unicorn we also identified a peer U.S.-based VC-backed company that raised its first venture round in the same year. We call the sample of such peers a random sample. For each of the companies in the unicorn and random samples we identified founders and co-founders (we use 鈥渇ounder鈥 and 鈥渃o-founder鈥 interchangeably) from all the sources mentioned above, LinkedIn, public filings, and many others. In total, we identified and confirmed 4,975 founders (different data exercises may use subsamples of this data).

Illustration:

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Stanford VC Initiative Study: How Long Does It Take To Build A Unicorn? /ai/unicorn-formation-timeline-strebulaev-stanford/ Tue, 11 Feb 2025 12:00:24 +0000 /?p=90934 Is building a unicorn an overnight success, or is it a long-term endeavor? And how much does venture capital influence the timeline? To uncover the answers, the Venture Capital Initiative team and I analyzed the journeys of thousands of U.S. venture-backed companies. More than 1,500 of them became unicorns. Here’s what the data reveals.

For founders launching today, the data indicates that the journey to unicorn status would likely conclude around mid-2031, with the typical timeline averaging 6.6 years from founding.

However, there are significant outliers in both directions.

Companies such as and reached unicorn status within months of their inception, while and achieved the milestone in just one year. and followed suit in two years.

On the other end of the spectrum, and took two decades to achieve unicorn status. The ultimate test of patience belongs to and , which took 22 and 25 years, respectively, to join the ranks.

Source: https://www.linkedin.com/in/ilyavcandpe/

Chart source:

The timeline of venture funding has its own rhythm. Early institutional backing is typical for (not so) soon-to-be unicorns. Of nearly 1,000 startups that achieved unicorn status through private funding rounds, 453 secured their first venture round within months of founding, and another 281 did so by the end of their second year.

After that, the numbers drop significantly 鈥 if you’re building something with unicorn potential, investors typically recognize it early. That said, late-stage success is still possible. Companies such as and are standout examples of thriving despite raising later in their journey.

Securing your first funding round is just the starting point. Most startups achieve unicorn status between two and seven years after their initial round, with the peak period typically falling three to eight years after founding. More than 100 companies reached this milestone during each of these peak years, with years four to five seeing the highest concentration.

However, achieving unicorn status is no guarantee of lasting success. Some companies ascend rapidly but struggle to sustain their momentum 鈥斅‘s dramatic journey from a $47 billion valuation to bankruptcy in 2023 serves as a good example.

As for the number of funding rounds, most unicorns require around five, although there’s significant variation. We found 125 companies managed to achieve unicorn status after fewer than two rounds, while 331 needed eight or more rounds, with three companies requiring as many as 18 rounds.

Our data suggests that while rapid growth is certainly possible, these cases remain atypical. Some companies such as Inflection AI and World Labs achieved unicorn status within months, but the unicorn path typically demands extraordinary patience. Both founders and investors should embrace patience, even though today’s successes may come faster than in the past.

Most unicorn stories we read about focus on rapid success, and perhaps the pace of transformation is accelerating. While it took radio 38 years to reach 50 million users, crossed 100 million monthly active users just two months after launch.

This stands in stark contrast to historical patterns. It took more than 65 years for electricity to reach 90% of U.S. houses, and the telephone remained a luxury for three quarters of Americans after decades of availability. The pattern for most ventures still involves early losses and periods of slow growth before potential returns, but the timeline may be compressing.

Consider how rapidly transportation transformed: In the early 1900s, horses dominated city streets, yet within just half a dozen years, cars had become the primary mode of urban transport 鈥 perhaps an early hint that when transformation comes, it can reshape our world with surprising speed. For founders and investors, the light at the end of the tunnel is that these transformations will be shaped by startups that have yet to become future unicorns.


is the foremost academic expert on venture capital. As the founder of the Venture Capital Initiative and a professor of private equity and finance at , where he teaches a popular class on venture capital, his research has been widely published in leading academic journals and featured in , , and the . He frequently leads workshops and executive sessions for senior business and government leaders around the world and has consulted for companies and investors on the venture industry trends and corporate innovation. In 2023 he was named a Top Voice on . ().

Note on methodology and sources: For this study, we define unicorns as VC-backed, U.S.-based companies that achieved a confirmed $1 billion-plus post-money valuation in a primary private round or had a liquidity event (such as an IPO or an acquisition) at a confirmed $1 billion-plus valuation between 1997 and 2024. While some industry observers consider only 鈥減rivate path鈥 companies to be 鈥渢rue unicorns,鈥 this distinction may not always be relevant. For early-stage investors and founders, both paths represent significant success outcomes. When analyzing startup success rates or founder achievements, both types should be considered unicorns. However, for specific analyses 鈥 such as studying how long unicorns remain private 鈥 focusing solely on private-path unicorns makes more sense.

To construct our unicorn list, we started with 鈥渦nicorn candidates鈥 from well-known sources such as and , as well as from datasets that report private funding round and liquidity event details, such as SA国际传媒, and . We then manually confirmed and cross-checked the location and funding details to decide on the inclusion of each company in our final unicorn list. This process resulted in a total of 1,516 unicorns.

Illustration:

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