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I Built an AI Startup Radar: 1100+ YC Companies on One Screen (2025 Trends Included)

I Built an AI Startup Radar: 1100+ YC Companies on One Screen (2025 Trends Included) I spent the last 2 months of evenings scraping and analyzing every Y…

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I Built an AI Startup Radar: 1100+ YC Companies on One Screen (2025 Trends Included)



I spent the last 2 months of evenings scraping and analyzing every Y Combinator AI startup from W22 to W25.



Live demo: https://yc-ai-radar.vercel.app/



Why I built it

YC has become almost a pure AI incubator:




  • 2023: 44% AI startups

  • 2024: 72% AI startups

  • 2025: around 80% AI startups



Everyone keeps asking the same questions:




  • Which niches are already overcrowded?

  • Where is YC actually betting money in 2025?

  • Where should I definitely NOT build to avoid becoming the 152nd clone?



Most solutions out there are Excel files, random tweets, or hours of manual digging. I wanted one single place that shows the real, normalized picture of the market.



What the tool does




  1. Explore page – 1100+ startups with smart filters

    • Categories (Agents, DevTools, Healthcare, Legal, Infra, etc.)

    • Crowdedness level (Few / Some / Many players)

    • Batch filters (W22 – W25)

    • B2B vs B2C

    • One-liner + direct link for every company


  2. Trends page – market share growth instead of raw counts

    YC changes batch sizes every season, so absolute numbers lie.




Example:

S24: 10 crypto out of 200 = 5%

W25: 8 crypto out of 100 = 8%

Raw count looks like decline → actually +60% market share growth.




  1. Opportunities page – gap analysis + high-barrier warnings
    Legal, Healthcare, Finance look empty from afar… until you remember 12-18 month sales cycles, FDA approvals, heavy regulation, etc.



Biggest 2025 insights I found




  • AI Agents: from 7% (W22) to 29.2% (W25) = +157% market share

  • Education exploded: +371% market share

  • Enterprise Ops is dying: –54%

  • Legal cooled off hard: –60% (looks like YC finally felt the barriers)

  • B2B dominates completely: 85% of all AI startups (B2C only 11%)



Tech stack & key decisions




  • Python for scraping and analytics

  • Rule-based categorization (yes, not LLM – reason below)

  • React + Tailwind + Vercel frontend

  • Currently moving from CSV to PostgreSQL



Why rule-based instead of LLM:




  • 100% deterministic (same input = same output forever)

  • Fully explainable

  • Processes 1100+ startups in under 1 second

  • Zero hallucinations or drift



Who this is for




  • Founders & indie hackers → validate your idea in 30 seconds

  • Investors → instantly see where YC is putting money right now

  • Job seekers → find the fastest-growing companies



Links

Live demo: https://yc-ai-radar.vercel.app/

CSV dataset – download button right on the site

GitHub – coming after a quick refactor

100% free, no login, no nonsense.



Go see how many clones of your idea already exist in YC.



Feedback and upvotes are very welcome!

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