Tuicool is a digital content aggregator that aims to pinpoint personalized contents for tech-savvy IT readers overwhelmed by large amounts of similar digital contents.
Enabled by a smart algorithm, Tuicool will automatically aggregate and analyze IT-related contents from different channels, such as news sites, blogs, and microblogs, without the intervention of human editing. By choosing different topics, the service could learn and adapt to your tastes, or what they called “adaptive learning”. The service will recommend up to 300 pieces of various kinds of contents ranging from tech reports to microblog.
Kafka Yu, an experienced programmer, founded the company in 2011 after leaving Baidu one year earlier. Tuicool was launched in April this year after two years of development. The company aims to attract 30,000 to 40,000 users by the first quarter of next year.
The company’s revenue mainly comes from advertisements, commissions earned by recommending books and digital products, as well as sharing data with related companies.
Yu thinks there are two development directions for e-reading products. One direction is to shift to other fields like finance, an easy path after huge user base and data were guaranteed. The other direction is to develop peripheral functions based on reading product itself, such as social networking and O2O activities. Yu added that the company will stick to the development of its product in the near future.