// ABOUT
DEFINITION
UnicornBurn is a VC risk intelligence platform. It gives investors structured access to 6,815+ verified startup autopsies — each tagged across 15 dimensions — to identify portfolio failure patterns before they materialise.
Every major startup collapse leaves a pattern. The same structural mistakes — premature scaling, unit economics ignored, fundraising dependency, timing miscalculated — appear in documented collapses from 2001 to today. UnicornBurn makes those patterns queryable before they repeat in your portfolio.
Before IC, you need to know if this startup has structural precedents — and what killed them. UnicornBurn crosses 15 dimensions of a startup's profile (sector, country, stage, funding, moat type and strength, hype cycle, business model, B2B/B2C, founding year, archetype, primary fatal mistake) against every documented failure in our database. You get a ranked list of the closest historical analogues, a survival probability curve at 12/24/36 months, and the specific failure vectors most likely to apply. In minutes, not days.
Every autopsy in our database is cross-checked against publicly available documentation — filings, postmortems, press records, founder accounts — before being included. We tag each case across 15 structured dimensions: sector, country, primary and secondary failure cause, collapse style, collapse velocity, moat type and strength, founder archetype, business model, B2B/B2C orientation, total funding, survival months, hype cycle, primary fatal mistake, and peak valuation. The precision required for pattern matching — not just categorisation.
Investment analysts who need structural risk context before IC — not just a sector report. Partners validating whether a thesis has historical precedent. GPs running portfolio risk monitoring without adding headcount. Family offices with concentrated positions who need early warning signals. PE firms stress-testing operational assumptions against documented collapse patterns. Risk Matching is now part of the standard deal process at firms across 5 countries.
90% of startups fail. I've read that statistic more times than I can count. What rarely gets said is that most of those failures follow the same patterns — and those patterns were visible.
Things happened to me too. Decisions that, with hindsight and the data we now have, weren't inevitable. That's why I didn't build this to document failure: I built it so the next ones can be avoided.
For investors, it means having the structural information that doesn't exist in any deal room today: which similar startups failed, how, and when. For founders, it means knowing which signals should never have been ignored — before it's too late.
UnicornBurn is a side project. What makes it possible is the support of the people around me every day. Without them, there would be no time to build it. Thank you.
For product questions, enterprise pricing, or data partnerships: hello@unicornburn.com
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