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Ten years is a long time. When we started First Round in 2005 with the idea to fill the gap between individual angel investing and Series A investing, many on Sand Hill Road dismissed our model as a cute” novelty. Boy how times have changed. What began as a crazy, contrarian idea has now led to a Series Seed Surge — in the last 4 years alone, over $4 billion has flowed into seed stage and 200 new firms have been formed . Venture capitalists are constantly telling the entrepreneurs they invest in to make data-driven decisions. But as an industry, we haven’t been very good at doing it ourselves. Now that we have the analytics and numbers to take a closer look at ourselves and our business, we decided to give it a try. We were able to sit down with 10 years worth of our proprietary investing data in front of us — since we’ve been capturing data about founding teams in our community since we made our very first investment in January 2005. We believe that seed investing is much more an art than a science — and there’s no such thing as a formula for success — but analyzing this unique data set of 300 companies and nearly 600 founders turned out to be a fascinating exercise. We looked at the founder characteristics that accompanied successes and not quite successes. Of course there were counterexamples and outliers (we actually removed the biggest outlier of all, Uber, from the study), but some definite themes emerged. After diving into the data and testing various assumptions, we’ve surfaced 10 Lessons” that we want to share with the whole industry. To be clear, we recognize that our data is still a small subset of the overall market — and (we hope) we’re better venture capitalists than statisticians — but the analysis provides an interesting and unprecedented window into the question: What does a great seed investment look like?” To simplify things, we evaluated every company’s performance by looking at how much their value has grown (or shrunk) between our initial investment and their fair market value today (or at exit). See below for more details on our methodologywe recognize it’s far from perfect, but it’s the clearest. And looking through this lens, some interesting themes emerged... - One - Female Founders Outperform Their Male Peers We’ve been fortunate to back many companies with female founders (and women-founded companies represent a greater percentage of our investments than the national VC average ). That’s why were so excited to learn that our investments in companies with at least one female founder were meaningfully outperforming our investments in all-male teams. Indeed, companies with a female founder performed 63% better than our investments with all-male founding teams. And, if you look at First Round’s top 10 investments of all time based on value created for investors, three of those teams have at least one female founder — far outpacing the percentage of female tech founders in general. Tweet - Two - Startup Fortune Favors the Young Founding teams with an average age under 25 (when we invested) perform nearly 30% above average. And while the average age of all our founders is 34.5, for our top 10 investments the average age was 31.9. Tweet - Three - Where You Went to School Matters We also looked at whether the college a founder attended might impact company performance. Unsurprisingly, teams with at least one founder who went to a top school” (unscientifically defined in our study as one of the Ivies plus Stanford, MIT and Caltech) tend to perform the best. Looking at our community, 38% of the companies we’ve invested in had one founder that went to one of those schools. And, generally speaking, those companies performed about 220% better than other teams! Tweet - Four - The Halo Effect of Former Employers is Real Teams with at least one founder coming out of Amazon, Apple, Facebook, Google, Microsoft or Twitter, performed 160% better than other companies. And while school didn’t have any real impact on pre-money valuations, company alma maters did. Founding teams with experience at any of those marquee companies landed pre-money valuations nearly 50% larger than their peers. We have some theories about causation here: the impact of embedded networks, foundational skills these types of jobs provide. These factors clearly make a difference. Tweet - Five - Investors Pay More for Repeat Founders While entrepreneurial experience is obviously valuable at the seed stage, we were surprised to see that our investments in repeat founders didn’t perform significantly better than our investments in first-timers — mainly because successful repeat founders’ initial valuations tended to be over 50% higher. It’s interesting to see how the market effectively prices repeat founders higher because they are known quantities. Tweet - Six - Solo Founders do Much Worse Than Teams Taking a closer look at these founding teams, we wanted to know what size and shape did to performance. The results were stark: Teams with more than one founder outperformed solo founders by a whopping 163% and solo founders’ seed valuations were 25% less than teams with more than one founder. No wonder the average size of founding teams across the FRC community is two, which also happens to be the optimal number according to our data. Tweet - Seven - Technical Co-Founders are Critical to Enterprise, not so Much for Consumer With all the industry chatter about the importance of technical co-founders, we wondered just how critical they are to success. It turns out, pretty critical — for enterprise companies. In fact, they’re doing so well in enterprise — performing a full 230% better than their non-technical colleagues — that they skew the data set to make it look like teams with a technical co-founder perform 23% better overall. But this isn’t the whole story. In fact, consumer companies with at least one technical co-founder underperform completely non-technical teams by 31%. Tweet - Eight - You Can Win Outside the Big Tech Hubs We thought location might make an equally dramatic difference, but we were wrong. First Round companies founded outside New York and the Bay Area are performing just as well as their peers based in those epicenters. Of the 200 companies we looked at for this, 25% landed outside these cities and, on average, have performed a slim 1.3% better than companies in the Bay and NYC. Again, this could be because investors price companies in NY and SF meaningfully higher to start with — but it’s heartening nonetheless. Tweet - Nine - The Next Big Thing Can Come from Anywhere Finally, and perhaps most importantly since it informs where we go looking for deals in the first place, we considered the source of our hundreds of investments over the last decade. We were fascinated to find that incredible investments can literally come from everywhere. For a long time, VC has been predicated on this idea that the best opportunities come through referrals, yet companies that we discovered through other channels — Twitter, Demo Day, etc. — outperformed referred companies by 58.4%. And founders that came directly to us with their ideas did about 23% better. Tweet - Ten - The Action is Moving from Sand Hill to San Francisco As the Bay Area’s startup center of gravity shifts from the South Bay to San Francisco, VCs are moving in droves to the South of Market neighborhood. While we invest across the country, nearly half of founding teams started their companies in the Bay Area. For the first five years of First Round, 2005 to 2009, we invested nearly equally between San Francisco and the rest of the Bay Area. During the last five, the pendulum has swung decisively toward San Francisco with 75% of our Bay Area investees starting their companies in the city over that period. Tweet It’s amazing what a decade’s worth of data can show. While these findings won’t dictate how we choose to invest from now on, we’re intrigued by what they say about the shifting direction of our...
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