How to Win by Being Right and Contrarian: Lessons from Zappos to DoorDash

**Alfred Lin** (0:00)
One of the things that we talk about at Sequoia is, you can't just be better, you have to be different too. So whether you want to be conventional or contrarian, you have to be right. If you're right and conventional, it's probably a less interesting solution, but if you're right and contrarian, you probably won't be able to make a lot more money because nobody's going after that opportunity. I often find that it's interesting, there are people who just want to be contrarian, but if you're contrarian and wrong, that's not a great situation. I try to put things in these 2x2 matrices of right and wrong and conventional and contrarian.

**Shane Parrish** (0:44)
Welcome to The Knowledge Project. I'm your host, Shane Parrish. In a world where knowledge is power, this podcast is your toolkit for mastering the best, what other people have already figured out. Today's episode will transform how you think about building and scaling transformative companies. My guest is Alfred Lin, one of Silicon Valley's most successful operators turned investors. After meeting Tony Heisch at Stanford over a pizza arbitrage scheme, Alfred went on to help build and sell Link Exchange to Microsoft, then scaled Zappos from startup to its $1.2 billion acquisition by Amazon as the COO and CFO. Now he's one of Tech's most influential people. Like a lot of outliers, Lin struggled in school, preferring to hack solutions together than follow instructions. Sound familiar? That changed with one of his teachers who made him realize the importance of enduring impact over short-term gains. Whether you're building a company, scaling operations, or making complex strategic decisions, Alfred breaks down the frameworks and mental models that have guided him through multi-billion-dollar outcomes. We explore everything from his unique approach to company culture and hiring that helped make Zappos legendary, to how he evaluates opportunities at Sequoia, to the crucible moments that shaped his decision-making philosophy. This conversation goes deep into specific practices around scaling, competing with giants and navigating technological disruptions, while revealing the deeper principles that have guided him through multiple successful chapters in tech. His insights on building and during impact over short-term gains are more relevant than ever as we enter the AI era. And of course, we talk about AI. It's time to listen and learn.
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New customers on first three-month plan only.

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Taxes and fees extra.

**Ryan Reynolds** (3:43)
Speed slower above 40 gigabytes e-details.

**SPEAKER_6** (3:45)
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**Shane Parrish** (4:16)
You've had a remarkable journey from entrepreneur to investor. And I want to know more about this story, but I want to start with some of your early life experiences that changed you and impacted you in the future.

**Alfred Lin** (4:30)
I guess I was born in Taiwan to two parents who were both commercial bankers.
In an early age, from what they tell me, I was always a little, I saw the world a little differently and did things a little different. The story that they liked to tell about me being different was when I was about two years old. There was a new dresser that was delivered to our apartment in Taiwan, and I figured out a way to get to the top by pulling out the first drawer, crawling into it, then pulling out the second drawer, crawling into that and then getting all the way to the top. And when I got up there, I thought I could fly, so I jumped off. And so, they loved telling that story because they rushed me to the hospital, and they were very concerned whether there was any permanent damage and things like that. And my mom kept bringing me back to the hospital again and again, and the doctor said, don't worry, I think he's fine, I think he's fine. And eventually he said, well, is there going to be any problem with his development? He's like, well, he's either going to be a genius or he's going to be an idiot. He's one or the other. I mean, so that's that's how my parents would describe me. High, high variance and high beta. And throughout school and throughout life, I was very much like that. I like to hack things and not do the work until one day. And this was in, you know, in high, in elementary school. I just tried to not do the work and hack my way through things and got suspended a few times. One of which was just coming up with a creative idea of taking chairs from the second floor to the first floor. I went down a slide instead of following the teacher's directions. I got suspended for that. And so I didn't ever really like school that much because it was so rigid until and so I used to hack my way through things. And one of the teachers that I had, Mrs. Einstein, had this way of teaching where she would put up a problem. She would then have us try to solve that problem or do the assignment and try to understand why she put the reading up there. And I would always bet with her if I knew the answer or if I knew the conclusion of the lesson, then I wouldn't have to do the homework. She let me get away with that once or twice and then she said to me once, you know, you're very smart, I've seen a lot of people waste their talent. So do you want to start first or do you want to finish first? And I think I retorted back saying, well, I like to start first and finish first with the least amount of work possible. And then she said to me, that's a great answer for a sixth grader. What happens in life when there's no finish line? What are you going to do then?