March 16, 2011
Finally, a Facebook app that analyses your likes and interests to generate the best possible recommendations for you. Whether you’re looking for the best burger in Seattle or the best dentist in Baltimore, rFave has you covered.
rFave analyzes users’ Facebook profiles to determine their tastes, then compares it to others with similar tastes to generate the best possible recommendation for them. For example, a high school kid who lists rap as his favorite music and a wealthy businessman who likes jazz will see different recommendations for the best sandwich in town. There is no need to answer a bunch of questions about yourself because rFave is able to use the information you’ve already entered on Facebook. So quite simply, what you’re really searching for is the best sandwich for you.
rFave offers many different categories of recommendations. They include: automotive, beauty and fitness, dining, health, pets, professional services, shopping and many more.
Salt Lake City-based rFave was created by Erin and Trey Bean, a husband-and-wife team who run 12 Spokes, a web development company. They created the app after frequently asking for recommendations from friends on Facebook. One day, they turned to each other and said, “I wish there was an app that would keep track of all this stuff.” They started building rFave in late 2009 and launched it in early 2011.
Henry Sams is a TechCocktail intern, college student, and Washington, DC metro native who has a passion for new technology and marketing through social media. He has always been interested in new tech innovations, start-ups, and gadgets and would like to create a start-up of his own some day.
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