Published on February 28, 2014
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 firstname.lastname@example.org | www.exacaster.com
Only 2% Of Startups Did Ever Exit acquired or IPOed 2% raised funding 23% founded 75%
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 9% 8% 7% 6% 5% 4% 8% of companies later exi3ng within the cohort with a Top Predicted CrunchScore 3% 4% of companies later exi3ng within the cohort with a Low Predicted CrunchScore 2% 1% 0% Top 500 scorers sold Remaining companies sold
Brought to you in 10 hours by: #oohack Helsinki Data Hackathon, October 16, 2012 exacaster.com
... by employing machine learning techniques to crunch CrunchBase data. ... future startup winners with machine learning. ... Predicting churn by ...
CrunchScoring: predicting future startup winners with machine learning and CrunchBase data ... few startup myths by employing machine learning ...
Powered by big data analytics and machine learning, ... predicting future startup winners with machine learning and CrunchBase data from Exacaster A ...
So while Fletcher’s machine learning approach to predicting ... machine learning on the data ... CrunchBase Daily The latest startup ...
Machine learning and data mining often employ the ... Because training sets are finite and the future is uncertain, learning theory usually does not yield ...
Predictive analytics is often defined as predicting at a ... in the future. Predictive analytics can ... data. They are learning machines that ...
Experience our data for free now by signing up for the Recorded Future Cyber Daily. ... Organizing Web data for cyber threat intelligence.