Mar 21, 2024 · 23m · y-combinator
Why Founders Shouldn't Think Like Investors · Y Combinator
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions
In this episode of Dalton & Michael, Y Combinator partners explain why early-stage founders must avoid thinking like venture capitalists and instead focus on rapid product development and direct user feedback. By unlearning corporate analysis and investor jargon, founders can develop non-conventional insights and execute the critical zero-to-one phase of building a business.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The partners hold 98.2% of the talking time here. How this is scored →
The partners as informed peer 8.1 Guest teaching 0.0 Guest disagreement 0.4 The partners pushing back 1.4
speaking balance: gold is the partners, purple is the guest (3 minute bins)
Sharpest disagreement ▶ 6:36 Critique of first-principles investor reasoning
Michael forcefully dismisses the common founder rationalization that simulating venture capitalist thinking from first principles helps pick winning business ideas.
Hardest push from the partners ▶ 17:44 Challenging superficial AI trend pitchesDalton challenges founders who pitch trendy concepts like AI for trucking without having any specific plan or deep domain knowledge.
Biggest teaching moment ▶ 3:35 Explaining early-stage vs late-stage market analysisDalton clearly lays out why traditional market analysis tools are completely invalid for seed-stage startups requiring a decade to mature.
The partners hold their own ▶ 14:29 Demonstrating macro vs micro tactical necessityMichael draws on concrete gaming and operational analogies to demonstrate that micro-execution skill is strictly required before macro strategy provides any value.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The partners as informed peer | Guest teaching | Guest disagreement | The partners pushing back | Why |
|---|---|---|---|---|---|---|
| How VCs Think and the Flaw of Corporate Frameworks | 8 | 0 | 1 | 1 | Michael and Dalton break down how founders inappropriately apply corporate, banking, and VC frameworks to early-stage ideation. The hosts converse collaboratively with full alignment. | |
| What Actually Matters at the Early Stage | 8 | 0 | 0 | 1 | Dalton and Michael explain that early-stage investing relies on basic viability and technical skill rather than decade-long market forecasting. They note that investor content marketing misleads college founders. | |
| The First Principles Fallacy in Idea Selection | 8 | 0 | 1 | 2 | Michael critiques the fallacy of using first-principles reasoning to mimic investors, noting that late-stage VCs primarily follow existing traction. Dalton highlights the crippling fear founders have regarding venture-scale ceilings. | |
| The False Trap of Positive Investor Feedback | 8 | 0 | 0 | 1 | The hosts explain why positive investor feedback on trendy ideas creates a false sense of security. Dalton points out that cloning whatever is currently raising money leads to severe execution failure. | |
| Premature Scaling and the RTS Video Game Illusion | 8 | 0 | 0 | 1 | Dalton uses a real-time strategy gaming metaphor to illustrate the difference between spreadsheet macro-planning and hard micro-execution. Michael reinforces that founders must excel at micro-details before scaling. | |
| Unlearning Corporate Habits and Embracing a Beginner Mind | 9 | 0 | 1 | 2 | Dalton criticizes vague AI pitches that lack domain depth, contrasting them with founders possessing deep industry expertise. Michael shares an example of a used car dealer founder leveraging practical insights. | |
| The Superpowers of Unconventional Founder Thinking | 8 | 0 | 0 | 2 | The hosts emphasize that unconventional founder thinking unlocks hidden opportunities that standard VC filters discard. Dalton ridicules premature exit strategy slides for early-stage startups. |
Statements from this episode (19)
Seibel: Many Founders Pitch Contrived Views That Sound Like Investors
“You start having conversation with the founder, and you'll actually feel like you're talking to an investor, to a VC. And you're like, but what about your passion? Like, what, what's your opinion? Like, what do you care about? And it's all kind of like, contri…”
Caldwell: YC Applicants Often Pitch Big-Company Decks With Zero Traction
“An example that I notice a lot in a YC interview is They want to present a PowerPoint deck or a slide deck. And the way they describe the company is the way you would describe a very large company. But then when you're like, well, do you have any customers? No…”
Seibel: Over-Analyzing Markets and Comps Causes Early-Stage Investment Mistakes
“Well, and I think what's interesting is that when we try to be smarter, we make mistakes. When we try to be smart about markets, or when we try to be smart about comps, We make mistakes because, one, we haven't studied those markets closely, and two, because s…”
Caldwell: Market Trend Forecasting Is Flawed for Decade-Long Startup Horizons
“When we make an investment, often it does not become a big company for at least 10 years. And so, if you're trying to do market analysis and market trends for an investment that won't become big for a decade later, it's kind of flawed analysis versus if you're…”
Caldwell: Startup classes teach investor analysis instead of zero-to-one execution
“Startup classes. And they tend to be taught by non-founders. They tend to be taught by investors. And a lot of what you learn is about how to pitch, how to do market analysis, how to identify ideas via market trends.”
Caldwell: Later-stage VC is about finding traction, not predicting unproven winners
“What do I think great investors do, especially later stage than what Y Combinator is, it's they find companies that have product market fit that are taking off, that have incredible traction, and they try to find them and invest in them, and that's the job.”
Seibel: VC skill is winning competitive deals, not theoretical thesis picking
“The skill is often getting the thing taking off to take your money versus someone else's money, not picking amongst things that haven't launched yet and having feces about why one's going to do better than the other.”
Caldwell: Founders avoid launching because they fear capping out at $50M ARR
“We see this a lot where there's companies that find real problems and something they're experts in, but they are facing crippling anxiety that it's not venture scale. Again, they might be right, but they're so obsessed with this way of thinking that, oh, what …”
Seibel: Founders cannot eliminate the high-risk, low-information nature of startups
“I think that we have to admit in the startup game, you're going after like a high risk, low information, And high commitment bet. And there aren't moves to change those core things, right? Like, yeah, you can invest in the margin, but it's still going to be hi…”
Caldwell: Startup Investing Experience Does Not Make Acquiring First Customers Easier
“No matter what I know from investing in startups, that does not mean getting first customers is going to be easy for me or for Michael or for anyone. It is freaking hard. And this zero to one is always the trap.”
Caldwell: Founders Should Launch Quickly Because First Launches Usually Fail
“This is the, this is one of the reasons we usually advise to launch quickly. Is so you get this hard medicine quickly. That your first launch is probably not going to work and no one's going to want your thing.”
Seibel: Many founders gear up for customer 100 before securing customer one
“I see a lot not even engaging in the zero to one, like, you know, they're hiring a bunch of people, getting an office, like they almost
Forget they have to get the first customer and they start gearing up for customer 100.”
Caldwell: Macro Experience Does Not Help Founders Master Micro Execution
“You've got to be great at micro to get something off the ground. Great. And no amount of macro experience helps you be good at micro.”
Caldwell: Early-stage founders must unlearn corporate skills and spreadsheet modeling
“All, you know, all the Excel spreadsheet modeling you learn as an investment banker. That's great. Just turn that off though. Like unlearn that doesn't serve you now. And embrace the beginner's mind. To get your startup off the ground.”
Seibel: Founders should unfollow accounts and media promoting investor-style thinking
“Diagnose why you started thinking this way, and if that means, like, unfollowing some people on Twitter, or not reading certain publications, like, to do it. We're susceptible to the inputs that come to our mind, and like, the easiest way we do this is turn th…”
Seibel: Spending time with users cures macro thinking because users disregard macro
“I also think spending time with your users is a cure for this because your users don't care about macro at all.”
Caldwell: Deep user engagement reveals AI opportunities better than market analysis
“Basically if you spend time, a ton of time with trucking companies, you are likely to have a whole different perspective here on how AI could solve problems in trucking, but you have to go really deep and spend time with them versus sitting, you know, in your …”
Seibel: Every Successful YC Story Began With Widely Dismissed Idea
“Well, I think that's what's so funny is because that's the, every successful YC story, that's the story in hindsight, right? It's like, everyone thought the idea sucked. It was off trend because it was off trend.”
Caldwell: Founders reaching $20M–$40M ARR rarely run out of growth ideas
“It's so rare in this job where we see a company that gets to 20,000,030 1,000,040 million in annual revenue, and the founder has no idea on how to grow it. They're out of ideas. I'm not going to say that never happens, but it's extremely rare.”