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What YC Is Really Betting On?

An X-ray of 793 YC startups

What does the average YC company actually look like? I scraped 793 startups and 1,625 founder bios from the last 5 batches to find out. 27 interactive charts covering: which industries are surging, which are dying, what founders have in common, how partners pick companies, hidden themes in descriptions, and the exact statistical profile of a "default" YC startup. Some surprises: YC funds direct competitors in the same batch. And every partner has a type. Free. No login

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Hey PH 👋 I kept hearing "YC only funds AI wrappers now" and wanted to check if it's actually true. So I scraped every company from the last 5 YC batches. 793 companies. 1,625 founder bios. Every tag, industry, and partner assignment. Some findings that surprised me: 🔸 Only 15% are thin wrappers - and it's declining 🔸 Deep tech jumped to 29% of the latest batch 🔸 SF startups hire LESS than remote ones 🔸 YC funds near-identical competitors in the same batch - on purpose 🔸 Each partner has a distinct type (Diana Hu = infra, Garry Tan = contrarian bets) Built with Python (scraping + NLP analysis) and Chart.js. Single HTML file, no backend. This is a side project - not a product, not a startup. Just a weekend rabbit hole that got out of hand. Would love feedback, what patterns do you find most interesting? — Krishna