This content was created by GHION.AI . This content was uploaded by GHION.AI . This is a YouTube video titled "Ann Miura-Ko: 'Lean' Does Not Mean 'Small'" from November 23, 2010, featuring Ann Miura-Ko discussing the misconceptions around lean startup methodology, emphasizing that 'lean' does not equate to 'small' and highlighting the importance of capital efficiency in successful companies.
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Now a lot of people get confused because we as a firm also talk a lot about customer development, the lean startup methodology. And they say, well, how is that consistent with lean startups? The problem is people confuse lean with small. Lean has nothing to do with small. In fact, the amount of capital that you take in has nothing to do with whether or not your ambitions are big or small. And I've seen some of the confusion in the market where in TechCrunch, people are talking about the battle between the super angel and the VCs, the super angel VC smackdowns. And I fundamentally believe that that, that just reflects the confusion in that marketplace. Because when we go talk to our entrepreneurs about raising the amount of capital that they need, we're talking to them about the capital that they need. We will only invest if there are thunder lizard ambitions. But that has nothing to do with how much they raised up front. In fact, we've looked historically and many of the largest, biggest companies raised only a few million dollars in the front end. Microsoft, Apple, all of these companies only raised a couple million dollars. Even ebay, the amount that they raised, they never used. And so the best companies actually end up being extraordinarily capital efficient. And in fact, it's the similar analogy to athletes. When you look at Lance Armstrong, he's an extraordinarily lean athlete. You ask him how many calories he eats during the Tour de France, he's eating 8,000 calories a day. And so the analogy holds in that sense as well. Lean is not small. Lean is a tactic by which we help our entrepreneurs and the entrepreneurs help themselves in a data driven way, figure out how they're going to iterate their product. And then through data and through vision, we, we also pivot that business model if we believe the business model no longer works.