What we learned from AI/ML YC applications
Aggregate insights from real applications roasted on YC Roaster — the patterns YC partners look for, and the weaknesses that come up over and over.
Apps analyzed
154
Average score
3.41 /5
Updated
Jun 15, 2026
Score breakdown — AI/ML average
Biggest weaknesses
Where AI/ML applications consistently fall short.
- 1. Early Traction2.77/5
- 2. GTM2.87/5
- 3. Monetization3.02/5
Strongest dimensions
Where AI/ML applications tend to do well.
- 1. App Completeness4.01/5
- 2. Market3.79/5
- 3. Team Quality3.75/5
Score distribution
What our AI judge actually said
Anonymized critique from real AI/ML applications (shared with founder consent).
“You have 8 pilots and 100% say they'll pay, but your revenue is still zero, willingness to pay is not a business model.”
8.0/10·Rare founder-market fit and fast execution, but you need 10 paying customers to prove this scales beyond pilots.
“Two active users and zero revenue after eight months is not traction, it is friends and family testing at best.”
6.2/10·Strong builders with a smart insight, but pre-traction and no GTM plan in a PowerPoint-dominated world.
“You built a working prototype in one month with synthetic data, but you have zero real users, no revenue, and you're solo in healthcare with no domain expertise.”
6.9/10·Fast builder attacking massive pain, but no market pull yet and desperately need a healthcare cofounder yesterday.
“The biggest risk is whether intent intelligence becomes a durable category or just a feature waiting to be absorbed by Mixpanel and Amplitude.”
7.9/10·Strong team moving fast in a huge market, but retention and expansion signals will determine if this is venture scale or feature-sized.
“Claims users and revenue but provides zero numbers, making it impossible to tell if there's real traction or just polite interest from friends.”
5.4/10·Fast-shipping builder with a real pain point, but no measurable pull and a feature that incumbents could copy in weeks.
“Eight months full time with zero revenue, just $5 activation fees from four labs, no proof pilots convert to paid.”
7.3/10·Smart team with rare insight on frontier research, but traction is all pilots, no revenue proof.
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