The 14 Social companies that produced the most founders (2026)

A founder factory is a company whose people leave to start companies of their own. This ranks every company in the graph by how many of its alumni — people who founded it or worked there — went on to found at least one company, counting only ventures started no earlier than the company itself.

Refreshed 2026-09-13 · updates nightly
Founder factories · SocialAlumni who went on to found companiesFlickr: 7 alumni founded 4 companiesFlickr7Highlight: 4 alumni founded 4 companiesHighlight4SocialNet: 4 alumni founded 3 companiesSocialNet4Meebo: 3 alumni founded 3 companiesMeebo3Slay: 3 alumni founded 1 companiesSlay3Business Insider: 2 alumni founded 5 companiesBusiness Insider2Airtime: 2 alumni founded 4 companiesAirtime2Boo: 2 alumni founded 4 companiesBoo2Digg: 2 alumni founded 3 companiesDigg2Aardvark: 2 alumni founded 2 companiesAardvark2Bleacher Report: 2 alumni founded 2 companiesBleacher Report2ThinkUp: 2 alumni founded 2 companiesThinkUp2Foursquare Labs, Inc.: 2 alumni founded 1 companiesFoursquare Labs, Inc.2OkCupid: 2 alumni founded 1 companiesOkCupid2
# Company SectorHQFounded Founders Companies started
1 Flickr Social Vancouver, Canada 2004 7 4
2 Highlight Social San Francisco, USA 2011 4 4
3 SocialNet Social Mountain View, USA 1997 4 3
4 Meebo Social Mountain View, USA 2005 3 3
5 Slay Social 3 1
6 Business Insider Social 2 5
7 Airtime Social San Francisco, USA 2011 2 4
8 Boo Social 2 4
9 Digg Social San Francisco, USA 2004 2 3
10 Aardvark Social San Francisco, USA 2007 2 2
11 Bleacher Report Social 2008 2 2
12 ThinkUp Social 2 2
13 Foursquare Labs, Inc. Social United States 2009 2 1
14 OkCupid Social United States 2004 2 1
How this is counted. A person counts as an alumnus of a company if they founded it or worked there. They count towards the company’s score if they went on to found at least one other company that was started no earlier than the company itself. Universities and other non-commercial organisations are pruned from the graph where we can identify them. Data is community-corrected — fix something.