The increasing amount of information on the internet makes it hard to filterout relevant parts. Every second hundreds of news-articles and blog-entriesare written. A subscriber to this constant stream of information quickly loosesoverview - a typical needle-in-a-haystack problem.Especially in the field of news-reading software can help to increase efficiencyby personalized filtering mechanisms. This filtering can be predictive basedon previous user-choices but also heeds the power of social networks: Usershelp each other by marking relevant information.The author Ingo Schommer investigates the conceptual and practical developmentof a web-based news-reader with advanced filtering features. Researchis conducted in the field of information visualization and filtering as well as incompetitive products and their shortcomings. The solution will mainly targetpro-users who are already accustomed with news-reading the moderninformation junkies.