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FeaturesRisk MatchingMethodologyPricingAPI

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In 84.5% of analyses, the collapse pattern is already in our database (73.3% exact primary cause).

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// ABOUT

We built the database investors
wished existed before the crash.

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.

6,815
verified startup autopsies
84.5%
Top-3 cause prediction accuracy (73.3% primary cause only · n=5,034)
$1.4T
estimated capital destroyed across documented cases

// WHAT WE DO

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.


// THE DATA

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.


// WHO USES IT

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.


// WHY THIS EXISTS

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.


// CONTACT

For product questions, enterprise pricing, or data partnerships: hellox@unicornburn.com

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