Failure...what we don’t talk enough about.
summary
Autopsy builds a public database of failed startups (it gets viral traction — ~100,000 page views in four days) and now holds 2000 failure submissions and ~12,000 subscribers, tagging each company with 13–14 strategic and operational factors and 1–3 subcategories. Data collection is ~50% automated scrapers, 30% web submissions and 20% partner feeds. Analysis on a 300-company sample finds top causes: wrong team, wrong business model, wrong market timing; recommended practices: bi-monthly 1–5 risk rankings and logistic regression health checks.
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chapters (13)
- 0:00Intro
- 0:15Why failure
- 1:25Post company failure
- 2:05Startup failure stats
- 2:45Featured in Hacker News
- 4:10Why are we doing this
- 5:33How we get the data
- 6:13Top 10 causations
- 7:40Case study methodology
- 9:25Board of Innovation
- 10:17Taking Factors
- 11:05Another Model
- 11:55Book Recommendations
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