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Flipora is a personalized content recommendation service that recommends web content to users based on their interests and web activity.[1] Flipora’s machine learning algorithm automatically categorizes the web into thousands of interest categories and provides content to users that suits their identified interests. Users can also follow topics and other like-minded users to receive content recommendations that are further personalized. Flipora users can upvote content recommendations they enjoy and automatically promote those content recommendations to their followers.[2][3][4] Flipora had amassed 8 million users by June 2012[5] and crossed 25 million users worldwide in April 2014.[6][7]

Flipora also has a content recommendation iPhone app. The app allows a user to connect their Facebook and Twitter accounts. The app then uses machine learning to infer a user’s interests based on their Facebook and Twitter activity along with the activity within the app. Finally, the app makes recommendations to users based on topics deemed to be within their sphere of interest.[8][9][10] In November 2014, Symantec classified Flipora's Windows software version as a "low-risk adware".[11]


  1. ^ Koetsler, John (25 June 2012). "Flipora is the fastest-growing social surfing service you've never heard of (interview)". VentureBeat. Retrieved 24 May 2015.
  2. ^ Boitnott, John (7 October 2014). "A.I. Is Helping the Internet Know What You Want Before You Want It". Inc. Retrieved 24 May 2015.
  3. ^ Hachman, Mark (19 June 2014). "Flipora's StumbleUpon rival now senses your mood". PC World. Retrieved 24 May 2015.
  4. ^ Rampton, John (12 September 2014). "The Past, Present, and Future of Content Discovery". Forbes. Retrieved 24 May 2015.
  5. ^ Cutler, Kim-Mai (25 June 2012). "Infoaxe's Flipora Passes 8M Registered Users, Adds Discovery Engine". TechCrunch. Retrieved 24 May 2015.
  6. ^ Subramanian, Karthik (20 April 2014). "Flipora knows who you are, offers what you want". The Hindu. Retrieved 24 May 2015.
  7. ^ Hendricks, Drew (16 October 2014). "Are Interest-Based Networks the Way of the Future?". Forbes. Retrieved 24 May 2015.
  8. ^ Rampton, John (27 January 2015). "Five New Apps Challenging Facebook and Twitter for Content Discovery". Forbes. Retrieved 24 May 2015.
  9. ^ Rampton, John (25 November 2014). "4 Essential iPhone Apps for Late 2014". Inc. Retrieved 24 May 2015.
  10. ^ Rampton, John (27 April 2015). "4 New iPhone Apps Changing the Way We Discover Content". The Huffington Post. Retrieved 24 May 2015.
  11. ^ "Adware.Flipora". www.symantec.com. Symantec. Retrieved 24 May 2015.