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Kevin worked at Google for a couple of years and Mike went on to work
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at Meebo before they decided to get together and start their company.
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They do have wonderful things to tell us about their experience,
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and I won't get in the way and let them start.
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So welcome back to Stanford. Thank you so much. Thank you, Tina.
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Thanks so much for having us, Tina, and Stanford.
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It's great to be back here. I remember...
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how many years ago now, four or five...
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sitting in this exact room and watching people stand up and
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give advice about entrepreneurship and their experience,
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and it's a little surreal to be standing up and giving back.
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But it's a really exciting opportunity because,
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I think in the past year or so since
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we started what would become Instagram, we've learned a lot.
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And today what we want to do is go through a series
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of myths that we think we had learned along the way,
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or thought were true along the way.
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And as we did Instagram and as we went through
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the process of founding this company,
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we learned that not all of them were necessarily true.
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So the big caveat here today is,
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although we're saying all this stuff, experience is what matters.
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And going through your own experience in a startup is
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really what helps you debunk these myths as well.
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So this is our chance to share some learning with you guys.
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My background, obviously, I went to Stanford. Mike went to Stanford.
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I studied MS&E, Mike, you studied... SymSys. ... SymSys here.
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And that was the beginning of our entrepreneurship
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experience in the Mayfield Fellows program.
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Like Tina said, we both had really amazing internships
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then that got us to get interested in entrepreneurship
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and get excited about doing it when we got out.
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And both of us after a year or so of working in a
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larger company decided we wanted to do something.
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And hopefully today, through that experience,
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we can shed a little light on what we learned.
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What we're doing today, Instagram,
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is kind of interesting because it came out of
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something we were doing before that didn't quite work.
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How many people here have actually heard of Instagram/use it? OK.
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Awesome. Most of the room.
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How many people have heard of Burbn/use it? Used it.
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Yeah, like three people. That's awesome.
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So that's why we started working on Instagram because
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that's basically the number of hands that went up
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in the room when we were working on it.
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Burbn was this check-in app that lets
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you check into different places,
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and while you were doing that allowed you to share
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pictures or videos of what you were doing.
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Long story short, we worked on that for a little while
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and then realized it wasn't really going anywhere.
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But the thing people loved the most about it was
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actually sharing images of what they were doing.
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So today, Instagram has about a little less than four million
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users all sharing images of what they're doing out in the
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real world through their iPhones on a daily basis.
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How many mobile photos do we upload per day about now? It's like...
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Jesus, six a second, more or less. So whatever that times...
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Yeah, it's a lot. And this is pretty awesome to be in this position
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only six or seven months after having launched.
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But the myths we're going to talk about today,
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I think, really helped us get to the next level and start Instagram
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by learning that those myths weren't necessarily true.
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So to start, I think Mike's going to
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bring you through the first myth.
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So the first one, when you're just starting out and
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you're dealing with the bucket of uncertainty that
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is being an entrepreneur and getting started,
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you want to latch on to things that you've seen before.
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We really quickly learned that you just cannot
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really learn to be an entrepreneur from a book,
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a blog or a talk, and it turns out that a day on the job was worth a
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year of experience and what happens is the collection of experiences
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and knowledge you can get from those sources are super important.
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And I'm not dismissing them entirely as
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something that you should just ignore,
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but that first day when you're starting to make those decisions
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where the data isn't really there and there hasn't been
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a blog post posted to Hacker News that was like,
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'Deciding what to do on the first day of startup'
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or 'Making this really tough decision',
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it turns out a lot of it is very specific to your
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situation and all you can really learn to do beforehand
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is try to deal with that uncertainty.
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So making snap decisions or quick decisions
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in the face of a lot of uncertainty.
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We'll hit up on situations early on where we weren't sure
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if we were going to take Instagram a follow model,
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for example like Twitter, or more friendship like Facebook.
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And there is just no blog,
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book or talk that we could've ever really seen beforehand
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that would have taught us to do either of those things,
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since that was about sitting down and saying,
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'Well, what do we know beforehand? What does our gut tell us?'
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And trusting your gut, I think, is a theme of this talk.
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And so developing a better gut is the
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work you can invest in beforehand,
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and then saying, 'All right, let's invest in this.
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Let's stay the course for a while and really see it through,'
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rather than wavering for months at a time being,
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'Oh, why don't we build both?
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Then we'll switch off,'
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maybe make it a preference like 'worst mistake ever,'
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give up on making that decision and instead make it a preference,
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and so and so forth where you're having these micro decisions
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that in the end sum up to what becomes your product basically.
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And we really rapidly found that,
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as tempting as it is to go search off for
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prior accounts of something similar,
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that's not decision is what makes a difference.
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But what you can be doing is doing quick projects,
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side projects during school,
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even when you're outside when you're doing a job.
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And most of what we learned and applied into our startup
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were things that we were doing on the weekends which,
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depending on the companies,
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either something encouraged or discouraged.
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But usually if you're excited enough about something
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you will find the time to work in it.
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The other thing is, once you do start a startup,
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it's super tempting to get caught up
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in the meta part of doing a startup,
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so going to entrepreneurship events and being,
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'Yes, I want to talk about being an entrepreneur.'
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We were incubated at Dogpatch Labs, which was a great experience.
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We were surrounded by 30 startups, a rotating cast.
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We were there for probably longer than anybody else. Too long.
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Too long.
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We saw three or four different classes of startups go through that.
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And the successful ones were the ones that were in it 9 am
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and left at 10 or 11 pm and were just putting in the work,
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and not the ones that showed up at 10, hung around, left at 6,
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who in my opinion were doing a startup as a lifestyle
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choice because they didn't want a boss.
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That's not really a good enough reason to do a startup.
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It should be that you wake up and you're obsessed
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with this idea and you want to make it happen,
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and you're not there to hang around in this
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club or have this fun chat with people.
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And that distinction wasn't that apparent to
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me Day 1 because everybody's doing a startup, this should be a thing.
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And then one month in people were like, "You guys work really hard."
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We kept hearing that comment at Dogpatch, and we were.
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We were working the hours that we felt we wanted
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to throw into the startup.
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And I guess it's a gut check if you're finding yourself getting drawn
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into the meta part of the startup of being an entrepreneur,
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of being really excited about...
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Somebody said to us earlier, the phrase was like,
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"You can't call yourself an entrepreneur. Somebody
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has to call you an entrepreneur in a way."
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And it's true. It's very tempting to get caught up in that.
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And I would encourage you to step back a little bit and find out
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the only thing that ships products and the only thing ultimately
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end users care about is the product you deliver to them,
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not how will they talk about you in TechCrunch or exactly
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who your investors were or which events you attended.
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Another myth that we encountered as we started our company...
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we talked to our friends who were holding
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back from starting companies...
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is that startups only come from Computer Science students.
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Neither Kevin nor I studied Computer Science.
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And that's something that we're actively proud of,
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not because Computer Science is a bad degree by any means but
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because it means you can get the technical chops you need to get
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things off the ground to get things prototyped and shipped.
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We built all of the initial version of Instagram ourselves
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from things we mostly just were self-taught in.
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The early Twitter employees, none of them even went to college,
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and our first engineering hire didn't go to college, either.
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I think with Twitter, maybe they didn't finish college.
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Maybe they went to it. But it turns out there's things you can
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do in school that I think are valuable,
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and when you're trying to pick courses and
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figure out where to focus your time,
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the classes I look back to now and think,
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'Wow, these are the ones that helped me deal with that uncertainty
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day to day' are the ones where Day 1 of the quarter they tell you,
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'We don't know what you're going to be
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doing for the rest of the quarter. You'll get this at the d.school
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a lot and all of the entrepreneurship classes.
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It's your job to ask the question,
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figure out the question that you're going to tackle,
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and then answer it for the rest of the quarter.'
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And that's just a very different experience from,
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well, 'These are the 10 problems that you're going
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to tackle and then we'll deliver them at the end.'
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And, of course, going through those
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motions is really important as well,
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but having that ability to ask the question...
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and Kevin will talk a little bit more about this in the next one...
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but also just work through the rest of that quarter.
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And the rest of it is, the engineering we end up doing we call
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'Sink or Swim School of Engineering'.
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So we launched on this little machine server in Los Angeles.
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We had no idea what we were doing.
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We were like, 'Well, maybe some people would sign up.'
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Within 24 hours, we had so much demand on that one machine that all of
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a sudden we had to scale out to what we now have, millions of users.
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None of us had touched Amazon's cloud
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platform at all before launching;
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we'd kind of heard of it but shied away from it.
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And it turns out that there's no motivation stronger than
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a bunch of people knocking at your door saying,
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"I want to use your product. Fix your thing." We'd put in a lot of...
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I don't really remember the first two months
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of our startup because we didn't sleep,
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and I think short-term memory goes out of the way.
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I'm told we put in a lot of late nights that were all about saying,
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'What do we need to do to get our products
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to a place where people can keep using it,
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get excited about it, scale to the challenge?'
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And you'll learn those things because you're bright and intelligent,
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you started a company because you trust yourself.
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So having that faith and not shying away
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from a big challenge because you're,
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'Well, what if we're successful? We won't know how to scale...'
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I barely really knew how to use a lot of the Linux
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Sysadmin stuff and now we know it really well,
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and if we did it again we'd have a totally different approach.
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But it's a little bit of zen beginner's mind:
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you focus on the simple, important stuff first if you're not
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worried about scaling ahead of time.
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It's really good to have friends that are Computer Science students.
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Absolutely. It's all the building that network. Week 1...
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I had worked at Meebo beforehand and
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I was doing mostly frontend development,
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so I wasn't doing a lot of hardcore scaling stuff...
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and I remember 8 am in the morning I'd be waking up
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my friends who led more normal jobs and be like,
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'I have no idea what this means.
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How do I do this?' They'd come in, we'd buy them beer.
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And you build that network and they'll help you out
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because they're excited about what you're doing,
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and it becomes less about feeling like you're
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the entire source of knowledge for yourself. Right.
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And I think what I'd add to the original point of going to events or
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talks is that it turns out what you get from those things aren't necessarily
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the takeaway is that we're going to put up here on the board,
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but it's the people sitting next to you,
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it's the people you meet before the event, after the event.
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The people that you're sitting next to chatting
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with them about the stuff that you're doing,