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Applied Intuition's Path to Product-Market Fit

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TL;DR: Qasar Younis spent years deliberately collecting diverse professional experiences - engineering at GM and Bosch, business school, investing at Y Combinator, founding two startups (one that failed, one acquired by Google) - all in preparation for founding the right company. In 2017, he teamed up with Peter Ludwig, a PM from Google with shared Michigan auto industry roots. Their founding formula was: choose co-founder first, then market, then idea. They initially considered crypto and AR/VR before realizing they should stick to what they knew - software for autonomous vehicles. They started by selling to small Bay Area autonomy startups to refine their product, then used those wins to land General Motors through a formal RFP, beating 28 competitors including Nvidia. Applied Intuition went multi-product early, building the muscle to find product-market fit repeatedly. The company preserved all capital ever raised, signaling efficient product-market fit. Today it's worth $15B with 18 of the top 20 global automakers as customers.

Key Insights

  • The founding order of operations matters: co-founder first, then market, then idea
  • Sell to companies your own size first to get feedback loops, then use those wins as springboard to land enterprise accounts
  • Listen to naysayers - especially qualified investors - rather than dismissing negative feedback
  • Diverse experience accumulation across functions creates pattern-matching ability for company building
  • Going multi-product early builds the muscle to find product-market fit repeatedly

Actionable Takeaways

  • Choose your co-founder based on years of relationship and complementary skills before picking an idea together
  • Pick a market where your combined experience overlaps and that is on the cusp of explosive growth
  • Start by selling to small companies similar to yours, then use those wins to pitch larger enterprises
  • Go multi-product early if the market naturally supports it - build the PMF muscle rather than depending on one product
  • Keep a tight P&L from day one - being cost-conscious compounds into long-term viability

Principles Validated (23)