What Seed VCs Really Think (But Donโt Say Out Loud) Ever pitched a VC and heard this? โItโs early for us.โ โGreat team, but weโre gonna pass for now.โ โKeep us updated.โ Translation: โ You didnโt pass their internal decision tree. Hereโs a quick breakdown of how most seed-stage VCs actually think, based on the classic Rob Go decision model, with REAL examples and tactical founder advice๐ Step 1: Are You an Exceptional Founder? VCs back people, not ideas. At seed, there's barely any data, so you are the signal. What theyโre really asking: Have you built or shipped hard things before? Can you attract talent and execute fast? Are you obsessed with this problem? Example: Melanie Perkins (Canva) got rejected 100+ times but kept improving. She knew the pain of bad design tools better than anyone. Tip: If youโre not exceptional yet, sharpen one edge, product, tech, or storytelling. You only need one spike to stand out. Step 2: Is This a High-Potential Market? No matter how cool your idea is..if the marketโs not big or growing, it's a no. Look for: Big TAM or clear expansion path Inflection points (regulatory, tech, cultural) A clear โwhy now?โ Example: Zerodha didnโt invent stock trading, but they timed it perfectly as retail investing exploded in India. Low-cost, mobile-first, and user-obsessed. Tip: Donโt just say โ$100B market.โ Show how you crack open a valuable segment first. Step 3: FounderโMarket Fit Why you for this startup? Signals that win: Personal frustration with the problem Lived experience (insider advantage) Deep insight that outsiders miss Example: Ritesh Agarwal (OYO) stayed in 100+ budget hotels before launching. He lived the inconsistency problem. Tip: Make your pitch personal. Frame it like: โI experienced X, and realized Y. No one was solving it right.โ Step 4: Are You 0.01%? This is the elite filter. Itโs harshโbut if you pass this, youโre likely getting a term sheet. VCs ask: Would I quit my job to work for this founder? Can they bend reality? Will top people follow them? Example: Sam Altman didnโt need validation when launching OpenAI. His track record attracted the best by default. Traction Helps, But Itโs Not Everything Early usage, engaged users, pilot LOIs, anything helps. Example: Notion raised when only a few users had access. But those users loved it. Deep engagement > vanity metrics. ๐ง Tip: No traction? Show signal: Waitlists Manual MVPs with real demand Screenshots of people hacking your solution TL;DR: The Real VC Decision Tree If youโre wondering why investors pass, walk through this: Am I exceptional enough? Is the market timing right? Do I have founderโmarket fit? Am I magnetic or world-class at something? Do I show signal, even if early? If any box is a soft โno,โ the deal likely dies, internally, silently.
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