SOURCE: Flipora


June 11, 2014 05:00 ET

Astonishing Increase in Flipora's Mobile User Base

SUNNYVALE, CA--(Marketwired - Jun 11, 2014) - Flipora, a popular website recommendation engine that suggests websites to users based on their personalized interests, is rapidly gaining popularity among users all over the world. The company recently announced that now nearly 30 million web surfers are using Flipora, and with record-breaking numbers of up to 100,000 new registrations each day, reaching the next big goal -- crossing the 50 million user mark by the end of the year -- seems to be within reach for the company.

Jonathan Siddharth, Flipora Co-CEO, explains the basic idea behind Flipora: A recommendation engine that automatically learns user interests and recommends websites based on their current mood. "Flipora helps users discover the Web like never before. Currently discovery is left to chance on Facebook and Twitter and this method of discovering the web is completely broken since you end up seeing content your friends want to share not what you want to see," says Siddharth.

Flipora uses a web-based recommendation engine that applies state-of-the-art machine learning algorithms to intelligently infer interests based on web browsing history as well as Facebook activity. The personalization and recommendation engine analyzes over 100 million websites every day, which is roughly 25 times the size of Wikipedia. This lets Flipora automatically figure out what a user is currently in the mood for and generate recommendations based on that.

"We are really excited by the growth potential for Flipora," agrees Vijay Krishnan, Flipora Co-CEO. "This is also the year we made the Top 10 list of social media sites for sharing, alongside Facebook, Twitter, and LinkedIn. At this rate, Flipora will be at 40-50M users by the end of the year. We are also profitable." The service, which monetizes through the inclusion of ads, has been profitable since late last year. And revenues are growing as rapidly as user numbers are. The founders have a long-term view to building the company as well as their product by focusing on the implementation of a scalable business model combined with a great product that users can enjoy and experience.

Especially the increase in users that log on to Flipora via mobile devices has been astounding over the course of last year. Today, the mobile user base makes up about a quarter of Flipora's new users worldwide; in the U.S., mobile access accounts for 50% of new users. Motivated by this development, Flipora optimized its website to be more mobile web friendly and is planning on releasing a mobile app for iOS later this year.

Due to Flipora's strong international growth, the company has already provided translations in 11 new languages, namely German, Spanish, French, Hungarian, Indonesian, Italian, Portuguese, Vietnamese, Chinese, Japanese, and Korean, which will further contribute to Flipora's growth in markets outside of the United States.

Flipora's mission is to categorize the world's knowledge and recommend the best of the web to users based on their interests. Sign up at to follow your interests and follow other like-minded users who share your interests.

About The Company
Flipora uses Artificial Intelligence to automatically learn a user's interests and then makes mood-aware website recommendations based on their current interests. Flipora intelligently infers interests based on Web browsing history and Facebook activity. The Web is the world's largest knowledge base and the company aims to categorize the world's knowledge and recommend it to users based on their interests. Starting out of Stanford University, has grown to nearly 30 million users and has raised Venture Capital from some of the best investors in Silicon Valley, with prior successes such as PayPal, Twitter, Skype, Tesla, Baidu, and Hotmail.

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