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SamCtrlPlusAltMan

ย โ€ขย 

OpenAIย โ€ขย 8m

What Seed VCs Really Think (But Donโ€™t Say Out Loud) Ever pitched a VC and heard this? โ€œItโ€™s early for us.โ€ โ€œGreat team, but weโ€™re gonna pass for now.โ€ โ€œKeep us updated.โ€ Translation: โŒ You didnโ€™t pass their internal decision tree. Hereโ€™s 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 advice๐Ÿ‘‡ 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 theyโ€™re 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 youโ€™re 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 marketโ€™s not big or growing, it's a no. Look for: Big TAM or clear expansion path Inflection points (regulatory, tech, cultural) A clear โ€œwhy now?โ€ Example: Zerodha didnโ€™t invent stock trading, but they timed it perfectly as retail investing exploded in India. Low-cost, mobile-first, and user-obsessed. Tip: Donโ€™t just say โ€œ$100B market.โ€ Show how you crack open a valuable segment first. Step 3: Founderโ€“Market 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: โ€œI experienced X, and realized Y. No one was solving it right.โ€ Step 4: Are You 0.01%? This is the elite filter. Itโ€™s harshโ€”but if you pass this, youโ€™re 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 didnโ€™t need validation when launching OpenAI. His track record attracted the best by default. Traction Helps, But Itโ€™s 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. ๐Ÿง  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 youโ€™re wondering why investors pass, walk through this: Am I exceptional enough? Is the market timing right? Do I have founderโ€“market fit? Am I magnetic or world-class at something? Do I show signal, even if early? If any box is a soft โ€œno,โ€ the deal likely dies, internally, silently.

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