Mar 21, 2024, 2:36 PM ETFireside Chat, Interview

Why Founders Shouldn't Think Like Investors

Founders trained in Venture Capital, investment banking, private equity, or management consulting often apply "large company frameworks" to pre-product, pre-traction startups.
This framework prioritizes market sizing, PowerPoint decks, stock market multiples, M&A analysis, and expert surveys over product-building and customer acquisition.
The podcasters (Dalton and Michael) argue that while this thinking is appropriate for later-stage investors or corporate roles, it is "twisted" and counterproductive for founders attempting to get their first customer.
Founders adopting this mindset often sound like investors, appearing contrived and lacking genuine personal opinions or passion for their specific problem.

Over-reliance on Slides: Founders present 15+ slide decks focusing on market opportunities and competitive analysis despite having zero customers, no product, and no traction.
Trend-Chasing: Ideas are selected based on what is "hot" on Twitter or what is currently raising the most money (e.g., "AI for X"), rather than deep domain expertise.
Analysis Paralysis: Founders engage in extensive market analysis to avoid the risk of choosing a "bad idea," fearing they will waste time on non-venture-scale opportunities (e.g., ideas capping at $50M ARR).
Ignoring "Micro": Founders focus on "macro" scaling strategies (building pylons, siege tanks) while neglecting the "micro" reality of manually getting the first customer.
Premature Planning: Founders attempt to define exit strategies, specific acquisition targets, and long-term revenue top-lines before the company has achieved product-market fit.

YC's Actual Criteria: Y Combinator looks for basic, binary questions: Does the idea make sense? Do the founders have the tech skills? Can they get customers?
The Flaw in Market Analysis: Analyzing market trends for a company that won't be large for 10+ years is a "flawed analysis" because startups pivot, technologies change, and new opportunities emerge that are invisible in static models.
Investor Skill Gap: Late-stage investors excel at identifying companies with existing traction and product-market fit; they do not possess a toolkit for evaluating unlaunched ideas or the zero-to-one phase.
Failure Rates: The majority of investor bets do not work; relying on investor frameworks to select ideas assumes founders have the same predictive power as later-stage investors, which is rarely the case.

Macro vs. Micro: Investors love "macro" analysis (build orders, tech trees, Excel models), but founders must excel at "micro" (the actual struggle of getting the first customer).
The Trap: Founders feel they are playing a simulation game where scaling is automatic, only to be shocked when their first launch fails and users reject the product.
The Reality of Execution: "No amount of macro experience helps you be good at micro"; founders must prove they can execute the basics before they are allowed to scale.
Real-World Example: Even CEOs of massive companies (e.g., Ryan from Flexport) must eventually return to "micro" details (e.g., fixing specific market changes) to remain effective.

Unlearn Corporate Tools: Founders should actively "turn off" skills related to corporate politics, Excel modeling, and market analysis that do not serve early-stage execution.
Adopt "Beginner's Mind": Embrace the uncertainty of the zero-to-one phase rather than trying to replicate a known business model.
Filter Inputs: Founders should unfollow "investor culture" on social media and stop reading industry publications that reinforce VC-style thinking.
User Immersion: The most effective antidote is spending deep time with users; users do not care about "macro" trends (e.g., AI fundraising), they care about specific problem-solving.
Domain Expertise: Ideas grounded in personal experience (e.g., a former used auto dealer building a fintech solution for car lots) succeed where generic "market analysis" ideas fail.

The "Superpower" of Divergence: Founders who resist VC thinking gain a "superpower" by seeing and acting on ideas that others have filtered out as "bad" or "off-trend."
Hindsight Bias: Most successful YC stories appear to be "silly" or "off-trend" in hindsight; the investment community's predictive power is often weak regarding early-stage potential.
Revenue Growth is Rarely the First Problem: It is "extremely rare" for a company to hit $20M–$40M ARR and run out of growth ideas; worrying about revenue caps is premature.
Flexibility Over Planning: Founders should not require a "full plan" today; the journey must be treated as an adventure where plans evolve, similar to how university course selections often change during the first semester.
Advice for Founders: Stop measuring "60 times and cutting once"; launch quickly to get "hard medicine" (failure) early rather than pretending the first launch will be a foregone conclusion based on a market slide.