How Founders Find Ideas That Nine in Ten People Reject

Flock Safety, Coinbase, and DoorDash were all seen as bad ideas; contrarian bets on overlooked verticals consistently beat derivative plays that gain traction.

Garry TanhostHarj TaggarhostJared FriedmanhostDiana Huhost

Oct 17, 202537mWatch on YouTube ↗

EPISODE INFO

Released: October 17, 2025
Duration: 37m
Channel: Y Combinator
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

Nine out of ten people might tell you you're crazy. The tenth might see what you see. Garry, Harj, Jared, and Diana talk about contrarian bets — the ideas that look impossible until they work. From Uber and Coinbase to DoorDash and Flock Safety, they share how founders find opportunity where others see dead ends. Chapters: 0:00 - Intro 2:00 - AI verticals are becoming more crowded 6:22 - Non-obvious successes 9:50 - End users can get regulations changed 18:05 - Finding contrarian ideas, what founders should look for 25:10 - Flock Safety and selling to local governments 33:40 - The sci-fi founder and "impossible" big ideas 36:42 - Outro Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs

SPEAKERS

Garry Tan
host
Harj Taggar
host
Jared Friedman
host
Diana Hu
host

EPISODE SUMMARY

In this episode of Y Combinator, featuring Garry Tan and Harj Taggar, How Founders Find Ideas That Nine in Ten People Reject explores why Contrarian, Unpopular Ideas Often Become Billion-Dollar Startups The episode explores how AI and other tech waves create short-lived windows for obvious startup ideas, after which real opportunities lie in contrarian, non-obvious bets. The hosts argue that founders should think from first principles, ignore hype-driven playbooks, and focus relentlessly on problems customers deeply feel—even when the idea seems scary, small, illegal-adjacent, or unfashionable to investors. Through case studies like DoorDash, Lyft/Uber, Coinbase, Flock Safety, OpenAI, and SpaceX, they show that many massive companies began as unpopular or seemingly low-TAM ideas. They close by urging founders to rely on direct user reality rather than Twitter, press, or VC dogma when choosing what to build.

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