|Initial release||November 2005|
3.5.1030 / July 2013
|Operating system||Microsoft Windows|
|Platform||.NET Framework and Mono|
|Type||Web search engine|
FAROO is a universal web search engine based on peer-to-peer technology. It uses a distributed crawler that stores search data on users' computers instead of a central server. Whenever a user visits a website, it is automatically indexed and distributed to the network. Ranking is done by comparing usage statistics of users, such as web pages visited, amount of time spent on each page, and whether the pages were bookmarked or printed.
- FAROO takes user behavior into account when calculating a website's rank, resulting in more relevant search results than traditional search engines can[when?] provide (see filter bubble).
- Because pages are automatically indexed upon being visited, updates to the index are nearly instant.
- No central servers are required, drastically reducing infrastructure costs and allowing the service to scale infinitely.
- FAROO plans to share up to 50% of its advertising revenue with its users.[clarification needed][when?]
- The index grows with the user base, so a small user base would result in a small index and therefore inaccurate results.
- The nature of the service could allow easy manipulation by spammers, although FAROO claims that their algorithms prevent this.
- "FAROO - Peer-to-peer Web Search: History". faroo.com. Archived from the original on 2018-04-02. Retrieved 2016-04-08.
- Knight, Charles (2007-10-02). "Great Debate: Peer-to-Peer (P2P) Search Part I". AltSearchEngines. Archived from the original on 2008-07-25. Retrieved 2008-07-31.
- Morrison, Chris (2007-09-17). "New companies launch: Yap, Cognitive Code, Viewdle, Faroo & more". VentureBeat. Retrieved 2008-07-19.
- Linder, Brad (2007-09-17). "Faroo wants to build a better Google through peer to peer". DownloadSquad.com. Retrieved 2008-07-16.
- Needleman, Rafe (2007-09-17). "Faroo makes your PC a searchbot". CNET. Retrieved 2008-07-19.
- Riley, Duncan (2007-09-17). "TechCrunch 40 Session 1: Search & Discovery". TechCrunch. Retrieved 2008-07-19.