CrunchScoring: predicting future startup winners with machine learning and CrunchBase data
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Transcript of CrunchScoring: predicting future startup winners with machine learning and CrunchBase data
What’s your CrunchScore? Tes3ng Startup Myths with CrunchBase Data
#oohack Helsinki Data Hackathon, October 16, 2012
Exacaster Team Sarunas / Egidijus / Rokas / Andrius / Vidmantas / Justas
[email protected] | www.exacaster.com
Only 2% Of Startups Did Ever Exit
founded 75%
raised funding 23%
acquired or IPOed 2%
Are We GeJng BeKer at Doing Startups Over Time?
Ignore – not enough Mme to exit, yet
Year company formed
Spot The Flood … And The Lack of Exits
Math to the rescue!
Our CrunchScoring Algorithm + Startup CrunchBase profile = Double The Chance of Picking the Right Startup
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
Top 500 scorers sold Remaining companies sold
8% of companies later exi3ng within the cohort with a Top
Predicted CrunchScore
4% of companies later exi3ng within the cohort with a Low
Predicted CrunchScore
Brought to you in 10 hours by:
#oohack Helsinki Data Hackathon, October 16, 2012
exacaster.com