At #oohack Hackathon in Helsinki in Oct 2012, Exacaster team decided to verify a few startup myths by employing machine learning techniques to analyze CrunchBase data. Some of the questions they addressed: - Is it true that only 2% of startups ever exit? - Are we getting better at doing startups over time? - Is it possible to improve your chances of picking the winners by employing publicly available data?

1. 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
sarunas@exacaster.com
|
www.exacaster.com

2. Only
2%
Of
Startups
Did
Ever
Exit
acquired
or
IPOed
2%
raised
funding
23%
founded
75%

3. Are
We
GeJng
BeKer
at
Doing
Startups
Over
Time?
Ignore
–
not
enough
Mme
to
exit,
yet
Year
company
formed

4. Spot
The
Flood
…
And
The
Lack
of
Exits

5. Math
to
the
rescue!

6. 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

7. Brought
to
you
in
10
hours
by:
#oohack
Helsinki
Data
Hackathon,
October
16,
2012
exacaster.com