Jan 21, 2025 · 2h 16m · knowledge-project
How to Win by Being Right and Contrarian: Lessons from Zappos to DoorDash
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In this in-depth interview on The Knowledge Project, Sequoia Capital partner Alfred Lin shares the foundational mental models, operating principles, and strategic frameworks that propelled companies like Zappos, Airbnb, and DoorDash to enduring success. Lin details how mastering contrarian positioning, rigorous input-driven execution, and values-aligned crisis management enables founders to build transformative, compounding enterprises.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Shane holds 13.3% of the talking time here. How this is scored →
Shane as informed peer 4.0 Guest teaching 5.0 Guest disagreement 1.3 Shane pushing back 0.9
speaking balance: gold is Shane, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 1:09:28 Lin rejects the binary between founder and manager mode
Lin directly rejects the premise of choosing founder mode over manager mode, asserting that enduring companies must blend the entrepreneurial fire with managerial ice.
Hardest push from Shane ▶ 1:36:30 Shane presses on investing into bubbly valuationsParrish directly challenges Lin on why venture capitalists continue to deploy capital into overheated markets rather than sitting out high valuations.
Biggest teaching moment ▶ 1:17:20 Lin on Airbnb's pandemic crisis managementLin educates Parrish on the exact capital structuring and stakeholder sequencing Brian Chesky used when Airbnb's revenue plummeted 80 percent.
Shane holds their own ▶ 1:39:41 Shane cites John Bragg on overpaying for unique assetsParrish demonstrates deep expertise by synthesizing insights from past interviews to offer a nuanced rationale for paying premium prices for rare assets.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | Shane as informed peer | Guest teaching | Guest disagreement | Shane pushing back | Why |
|---|---|---|---|---|---|---|
| Welcome to The Knowledge Project with Guest Alfred Lin | 3 | 5 | 1 | 0 | Parrish opens with an introductory framing of Lin's career and asks about early life formative experiences. Lin shares the story of his childhood and a pivotal teacher asking whether he wants to win an infinite game. | |
| Defining Core Personal Values and Daily Compounding | 3 | 4 | 1 | 0 | Parrish prompts Lin on personal values and holding people accountable. Lin articulates his philosophy around input focus, direct feedback, and compounding. | |
| Focusing on Inputs and Solving First-Order Issues | 4 | 6 | 2 | 2 | Parrish asks Lin to clarify what he means by first-order issues. Lin explains how to distinguish surface symptoms from core architectural flow problems at Zappos. | |
| Junior High Computer Lab and Math Team Leadership | 2 | 3 | 0 | 0 | Lin recounts early experiences on the math team and the founding and acquisition of LinkExchange. Parrish asks clarifying historical questions. | |
| Company Velocity and Free Cash Flow as Freedom | 5 | 4 | 1 | 2 | Parrish introduces the distinction between applying force versus removing obstacles. Lin validates the distinction and explains how Airbnb applied friction reduction. | |
| DoorDash's Suburban Expansion and Contrarian Positioning | 6 | 4 | 1 | 1 | Parrish introduces his term 'advantageous divergence' and draws a comparison to Walmart's suburban strategy. Lin engages with Parrish's framing and applies it to DoorDash. | |
| Hiring for Slope over Intercept in Fast-Growing Startups | 4 | 5 | 2 | 1 | Parrish asks about hiring mistakes and potential. Lin explains the Sequoia hiring concept of choosing slope over intercept and managing regrettable turnover. | |
| Startup Operating Systems and Stage-Appropriate Hiring | 4 | 5 | 1 | 1 | Parrish asks about the hazard of hiring executives who built systems in different environments. Lin breaks down stage-appropriate hiring within one or two chapters of scale. | |
| Commercial Break: Accenture and Google Chrome | 3 | 5 | 1 | 0 | Lin outlines how capital constraints forced Zappos to innovate on operations, reverse logistics, and customer retention rather than paid acquisition. | |
| Counterintuitive Return Economics and Sizing Logistics | 5 | 6 | 2 | 2 | Parrish brings up the counterintuitive finding that top customers have the highest return rates. Lin details the operational analysis and explains why lowering return friction drove enterprise value. | |
| Codifying Culture and Core Values at Zappos | 3 | 5 | 1 | 0 | Lin describes codifying the 10 core values at Zappos and Tony Hsieh's greenhouse philosophy of leadership and cultural evolution. | |
| Eliminating Bureaucratic Sediment and Decision Velocity | 5 | 4 | 1 | 1 | Parrish brings up Tobi Lutke's concept of organizational sediment. Lin discusses the entropy of decision velocity and the power of compounding daily improvements. | |
| Founder Mode versus Manager Mode: Fire and Ice | 5 | 6 | 3 | 2 | Parrish asks about founder mode versus professional manager mode. Lin pushes back on the binary dichotomy, arguing companies need both entrepreneurial fire and cold managerial ice. | |
| First Principles in Crisis: Airbnb's Pandemic Strategy | 3 | 7 | 1 | 0 | Lin gives an in-depth breakdown of how Brian Chesky navigated the pandemic crisis at Airbnb by applying first principles to protect long-term trust. | |
| DoorDash's Rapid Merchant Pivot During COVID-19 | 3 | 6 | 1 | 0 | Lin contrasts Airbnb with DoorDash's proactive pandemic strategy of uploading restaurant menus to support hurting merchants. | |
| Strategic Decision Sequencing and Values Alignment | 4 | 5 | 1 | 0 | Lin explains how clear core values simplify tactical sequencing during high-noise crisis moments. | |
| The Trust Deficit and Cultural Limits of Remote Work | 4 | 5 | 2 | 2 | Parrish queries Lin on the efficacy of hybrid and remote work. Lin takes a strong stance on the trust deficit of remote work and the necessity of in-person collaboration for early-stage culture. | |
| Investing Across Macro Cycles and Market Revolutions | 6 | 5 | 2 | 3 | Parrish challenges why VCs invest at top-of-cycle valuations, citing John Bragg on asset rarity. Lin explains the risk of missing megatrends and paying market price for generational winners. | |
| AI Investment Traps: Thin Wrappers and Churn | 4 | 5 | 1 | 1 | Parrish asks Lin what Sequoia avoids in AI deals. Lin warns against thin UI wrappers and temporary test revenue with high customer churn. | |
| AI Regulatory Frameworks: Regulating Applications over Engines | 3 | 6 | 1 | 1 | Parrish asks about AI regulatory frameworks. Lin uses the analogy of combustion engines to argue for regulating end-user applications rather than the underlying technology engine. | |
| Market Momentum, Talent Influx, and Infrastructure Cycles | 3 | 5 | 1 | 0 | Lin outlines historical tech talent influx cycles and notes that while infrastructure may be overbuilt in the short term, market demand eventually catches up. | |
| Serial versus Parallel Problem Solving in Leadership | 4 | 5 | 1 | 1 | Lin breaks down how leadership requires shifting from serial engineering execution to parallel organizational task allocation. | |
| Solving Driver Supply Constraints in Early Marketplaces | 5 | 5 | 1 | 1 | Parrish asks about standardization tradeoffs with early enterprise clients. Lin uses the accordion analogy to explain early customization versus eventual standardization. | |
| Bridging Vision and Reality: Working Backwards and Forwards | 4 | 5 | 1 | 1 | Lin details the necessity of pairing Amazon's working backwards vision with working forwards execution reality, concluding with his definition of success. |
Statements from this episode (51)
Sequential to-do lists fail because critical priorities often get listed last
“Because if you just list all the to-dos, you probably will not be able to get to all of them. And the most important thing might be the last one you list. And so you can't just go down that list and do them one by one. Often, It's by popping up a level where y…”
Microsoft acquired LinkExchange for $265 million on $15 million in revenue
“We had fifteen million dollars in revenue. You can kind of tell that we were in a bubble when someone would be willing to buy a company that had fifteen million dollars in revenue for two hundred and sixty-five million dollars. But also, you know, it was the t…”
Lin: Outside Questions Expose Flawed Assumptions When Inside a Bubble
“So, that's why I think it's valuable to have people who are slightly outside of where you work to keep you accountable. It's like, hey, how's this, how does this work? Just by simply asking questions, you get into a situation where, like, wait, I can't explain…”
Company speed naturally slows down without continuous pressure from leadership
“Velocity as opposed to speed, because speed is just how fast you're going. But velocity, velocity also has direction. And I think the combination of the two is quite important. But the whole speed of a company generally doesn't get any faster unless you're pus…”
Alfred Lin: Free cash flow provides total strategic freedom for startups
“Free cash flow equals freedom, because eventually a real business generates real free cash flow. ... The freedom that allows you to not have to raise money, the freedom to allow you to invest in new areas, the freedom to continue to grow, because you can inves…”
Lin: Applying operational force surfaces structural bottlenecks in high-growth companies
“Often, you know, when you apply force, you realize where the obstacles are. Because you butt against that obstacle. And then you realize, okay, I keep butting against this. Maybe you have to figure out a way around it.”
Lin: Early Airbnb functioned as a listing service rather than a true marketplace
“Maybe in the early days of Airbnb, I think people forget it was much more of a listing service, and it was less of a marketplace, and if you sort of take the definition of a marketplace, you have to complete the transaction, and you just not only have to compl…”
Lin: Scaling fringe startups into mainstream businesses requires removing user friction
“Many great companies start out as a fringe sort of activity, and you have to figure out how to make it more mainstream. Often that is about removing
obstacles are removing friction.”
Sequoia passed on DoorDash's seed round over student spending concerns
“It started on a, on, on a college campus, and the reason we pass on the seed round at Sequoia is we're concerned that the, this is, like, just something that college students did with their parents' money.”
Lin: Food delivery creates more value in suburbs than in dense cities
“The value for someone who lives in the suburbs and have to drive 20 minutes to go get their food is higher than someone that can go from their apartment, go downstairs and walk a few blocks and get the food and bring it back home.”
DoorDash used suburban market profits to fund its major city expansion
“There's the reason why small towns, there's a main street where everything happens, and so then you start realizing that the density problem is not as complicated as you might think, and they won because they were able to take the profits of the suburbs to go …”
Sequoia Capital prioritizes an employee's learning slope over their past experience
“At Sequoia, we hire for slope, not intercept. So experience obviously matters, but if you just hire for the experience and their slope is not fast, that's going to become a problem at some point. And so we really, really ask founders to think about what is the…”
Lin: Firing an employee within three months signals a hiring failure
“If you hire someone, you have to let them go in three months, that was a messire. There's almost no reason why that person was not going to be able to do the job for the, for three months. They either were not a cultural fit, they didn't have the right skills.”
Lin: Leaders must categorize turnover into regrettable versus unregrettable departures
“You have to manage the turnover of regrettable. What is a regrettable turnover? Why you're not, Able to retain your best people. And if you have unregrettable turnover, then why did you hire these people in the first place? And so you, if you break the problem…”
Founders should hire leaders one or two chapters ahead, not ten
“My observation is that when you try to hire someone that is from a company that is one chapter or two chapters ahead, they tend to work out better. And part of that is because they're only one or two chapters ahead of you. If you try to hire someone who you're…”
Zappos reached $1.6 billion in sales on just $10 million in equity
“Tony invested ten million dollars of his own money, but most of it was financed through being very, very creative, figuring out how to get merchants that we ordered from to give us credit and to increase the credit line. We had a, eventually got a line of cred…”
Lin: Startups Can Scale by Making First Orders Profitable via Service
“Or in sales, and here's a company that basically raised ten million dollars, and it probably was undercapitalized, but it really did highlight that you can build a company by having CAC be profitable on the first order, by being focused on customer service, an…”
Lin: Only Amazon and Zappos Solved Unbatched E-Commerce Operations
“The solution to pick back and ship in four hours was to solve a operations flow issue and not batch the operations, which I don't think anybody else figured out in e-commerce back then besides Amazon.”
Lin: 80% of Zappos's Daily Orders Came from Repeat Customers
“When we, on any given day, the orders that we had, 80% of it was from repeat customers, and we grew the business, some with marketing, but the majority was by providing great customer service, having high repeat rates, having high LTV, and having customers bas…”
Zappos's most valuable customers also had the highest product return rates
“We then did this analysis and this is the type of analysis I really enjoy doing, like, let's take our best customers, and let's take our worst customers, and look at their return rates, and it turned out our best customers at the highest LTVs return the most”
Lin: E-commerce should optimize return processing costs, not return rates
“You want to keep the return policy as liberal as you can, but make the cost of processing as low as possible. And so, the first order issue there is exactly, going back to first order issue, the first order issue is not the return rate. The first order issue i…”
Lin: Zappos pushed the retail industry from 30-day to 365-day return policies
“I think we changed the whole industry, and it originally was just a competitive response. We had a liberal return policy in 30 days, other people copy 30 days, then it was 90 days, other people copy 90 days, and then we made it three 65 days.”
Lin: LinkExchange degraded its culture by hiring for conventional fit without defined values
“Tony Hsieh had this experience at Link Exchange where we didn't define the values of the company. We started hiring people that were conventionally right for the positions in the job, and one day he woke up and realized the company that he had founded and buil…”
Lin: Having ten core values fails because most employees only remember two or three
“The problem with 10 is that there are probably a handful of people that remember all 10. Most people remember the first one or two or three of them”
Lin: Companies must create an annual plan to evolve their culture
“Cultures should not be static. Every year you do a strategic plan and a financial plan. You figure out what your next year's revenue is going to be. You're hiring a plan. You're marketing a plan. You have all these plans. You should also have a plan for cultur…”
Lin: Scaling Companies Must Prioritize Decision Velocity Over Process
“Like, the process becomes, instead of making fast, good, fast decisions, the thing that people value is having a good process that slows you down to make sure you have the right decision. You have to make high-velocity decisions at scale.”
Lin: Strategic Planning Should Include Retrospective Reviews of Past Decisions
“I don't think enough companies look at that enough. You know, instead of projecting next year's revenue and next year's strategic plan, part of the strategic plan should be about looking backwards. What decisions did you get right? What decisions did you get w…”
Amazon leadership originally conceived AWS as a low-margin infrastructure business
“They didn't think this was a, this is a high margin business. They thought of it as like, ok, this will be a low margin business too, and we like low margin businesses.”
Alfred Lin: Sequoia defines crucible moments as irreversible Type 1 decisions
“Crucible moments is, is the term we use at step, at Sequoia for things that are basically very important type one decisions, and I've had to deal, as an operator before Sequoia, we didn't call them Crucible moments, but I've gone through a fair share of crucib…”
Tellme Networks burned $60 million a quarter before its enterprise pivot
“At tell me networks, when we're burning sixty million dollars a quarter, how do we get through that, and how do we pivot the company from a consumer business that wasn't working into an enterprise business?”
Banks called Zappos's $60 million loan during the 2008 financial crisis
“At Zappos, it was, what do we do after nine-eleven when sales went to zero, what do we do during the financial crisis when credit became very, very difficult, and we were borrowing sixty million dollars, and we had sixty million dollars that we did nothing wro…”
Alfred Lin: Competitor Wimdu copied Airbnb's website pixel by pixel
“There was a fight to win Europe, and a competitor called Windu that copied the Airbnb website pixel by pixel.”
Lin: Airbnb lost 80% of its revenue when the pandemic hit
“You have a business that went from a business that was growing 2030, 40% a year to a business that declines and you lose 80% of your revenue.”
Lin: Airbnb raised debt during COVID to avoid a down-round valuation
“We're going to raise money, and we're going to do it in a way that doesn't burden previous investors. So we're not going to raise money at a low valuation. We're going to raise debt.”
Airbnb held $3 billion in cash against $4 billion in customer deposits
“We have three billion dollars of capital on the balance sheet at Airbnb, but we have three billion dollars or four billion dollars of customer deposits.”
Lin: Restaurants typically operate with less than 30 days of cash
“He knew that restaurants wouldn't survive. They had less than 30 days of cash. And, you know, that's less than 30 days of cash when they actually are running at full speed.”
Lin: DoorDash proactively digitized merchant menus during COVID lockdowns
“They decided, like, these merchants are going to be hurting, and we need to help them, and so they proactively went out and uploaded menus from different merchants onto DoorDash and said, hey, I know you guys are hurting. The only thing you can do is delivery.…”
Lin: DoorDash faced difficult Series C and D rounds before fixing unit economics
“They grew very fast, they probably grew too quickly their unit economics wasn't great, they had a few hard fundraising rounds for the C and D, they fixed the
The unit economics.
So in 2019 it was a walled oiled machine”
Building early-stage startups remotely is extremely difficult without prior shared history
“I think it's very, very hard to build an early stage company remote, and the reason I say that is unless you, you've worked with each other before, I view there to be a well of trust that is created when you work together in this, you know, the reason why peop…”
Alfred Lin argues all companies should require returning to the office
“So, I think all companies should go back to being in the office a certain number of days a week. It doesn't have to be five.”
Sequoia requires in-person meetings before investing to gauge a company's texture
“At Sequoia, I mean, we take a lot of first meetings over Zoom and during the pandemic when we were only doing meetings over Zoom, you just never got the right texture for the company, the cadence of the, how the company operated, and yeah, we might still take …”
Investors who sat out the 1999 bubble missed Google and Salesforce
“And if you decided not to invest in that time, you would have missed out on Google, Salesforce, PayPal, Zappos, OpenTable. There are a lot of great companies that were still founded during that time, and Paying market prices for those investments would have be…”
Lin: Slightly overpaying for the right company beats buying cheap assets
“It's the same as true in the, in investing in private companies. It's still much better to pick the right company and slightly overpay than to invest in something that is cheap.”
Startups building incremental AI refinements will become roadkill for Big Tech
“Other things that, you know, I'd say we try to avoid is things that are roadkill along the way of a company like OpenAI or Google or Amazon or Meta. So, small refinements into what the model doesn't do well today. That's just gonna be real cool along the way.”
Many AI startups see massive initial adoption but suffer terrible user churn
“Right now there's a different example where lots of, there's a lot of test revenue, but the churn is very high because people don't stick, so there are a lot of things where You see very, very fast adoption, but the churn rate is very, very poor.”
Lin: Investors Afraid of Tech Incumbents Should Leave Venture Capital
“In the history of technology investing that I've been involved with, if you're afraid of the incumbents, you should just punch out.”
Lin: Regulate AI applications and consumer deployment, not foundational lab research
“As an example, with the combustion engine, nobody regulated the engine. We regulated what engines can go on the streets, what can go into a plane. We regulated how it was applied. But in a lab, and people were, you know, sort of doing research and trying to ma…”
Alfred Lin predicts AI infrastructure will be overbuilt within two years
“In fact, the hot take is that many things will be overbuilt. So maybe we were building too many GPUs for a year or two years out. Maybe there are too many data centers that have GPUs a year or two years out.”
NVIDIA's biggest vulnerability is its singular dependency on CEO Jensen Huang
“They, they've only had one leader in their whole cycle. I worry about what happens when Jensen decides not to be at the head of NVIDIA.”
Lin: DoorDash expanded delivery market beyond Grubhub's existing-courier restaurant base
“The only restaurants that would be on Grubhub's website were all the companies that already had delivery staff available. So what DoorDash did was to expand the market. And by expanding the market, they were very focused on that problem.”
Lin: DoorDash unlocked driver supply via introverts and sub-rideshare vehicles
“It turned out that, well, A, there's some people who would prefer to deliver Food or a package over delivering people. They didn't want to have to have social interactions. And then there's other people with perfectly fine cars, but they're not perfectly fine …”