Why Old Startup Ideas Like Recruiting Now Work With LLMs

Through LLM code evals and gross margin thinking about unit economics; Triplebyte took years to build what AI does in weeks, making recruiting startups viable.

Harj TaggarhostJared FriedmanhostGarry TanhostDiana Huhost

May 16, 202540mWatch on YouTube ↗

EPISODE INFO

Released: May 16, 2025
Duration: 40m
Channel: Y Combinator
Watch on YouTube: ▶ Open ↗

EPISODE DESCRIPTION

There's never been a better time to start an AI company. Not just because there are new ideas, but because the tech finally makes old ones actually work. On the Lightcone, Garry, Harj, Diana and Jared talk through the kinds of startups that are suddenly viable thanks to LLMs—from full-stack law firms to personalized tutors to recruiting platforms that can finally scale. They share the patterns they're seeing, the ideas they're excited about, and what it means to live at the edge of the future, where breakthroughs often look like second chances. If you've been waiting for the right moment to build, this is it. Apply to Y Combinator: https://ycombinator.com/apply Work at a startup: https://workatastartup.com Chapters (Powered by https://chapterme.co/) - 0:00 Intro 00:41 What startup ideas could not work before AI? 06:06 Technical screening products 07:35 Truly personalized education tools 09:48 Do better products automatically get better distribution? 14:41 Moats 16:08 The need for platform neutrality 17:40 Big Tech and AI 23:24 AI horseless carriages 25:14 Gross margins 30:03 Full stack companies 32:30 ML ops 37:14 Updated startup advice for the AI age 40:19 Outro

SPEAKERS

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

EPISODE SUMMARY

In this episode of Y Combinator, featuring Harj Taggar and Jared Friedman, Why Old Startup Ideas Like Recruiting Now Work With LLMs explores aI Unleashes Previously Impossible Startups, From Recruiting To Full-Stack Services The hosts explore startup ideas that only became viable with modern LLMs, emphasizing how rapidly improving AI radically reshapes the “idea maze” for founders.

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