The Next Web conference wouldn't live up to its name if it didn't give a glimpse into new online developments. The second day of the event focused on new startups during The Next Web Startup Rally . Read about and see new tools for content curation, social network analysis, semantic search, online collaboration via MS Office, online eBook notes discussion and more.
Wosju: social network analysis of all your online social networks
Wosju’s mission is made clear during the presentation: to become the most used online networking tool in the world. I previously described this Danish start-up as a social network analysis tool, since it analyses all your online social networks and combines them in a dashboard.
It goes a step further than other similar tools (such as Hashable ), as it also shows the network path that exists between you and other people, based on the value of the social connections. This way you could analyze, for example, what is the best way to contact a certain investor.
The premise of Hitchie's pitch is that during events and meetings people philippines phone number list mainly talk to people they already know instead of meeting new interesting people. From this 'problem' (I don't know if this is really the case), Hitchie was born : a tool that allows people to get to know each other online before an offline event.
The organizer of an event first sets up the Hitch. Then visitors of the event can log in and indicate that they are attending the event. During the Hitch itself, visitors can get to know other visitors via video chat and instant messaging. During TNW2011 it was jokingly called 'chatroulette for business' . An example of a Hitch is that of The Next Web itself .
Silk: The Stepping Stone to the Semantic Web
Silk was one of the startups that I think impressed the audience. Following Clay Shirky's perspective of 'filter failure', Silk helps you collect and present online content. For example, you want information about all ministers from the last ten cabinets that graduated from the Vrije Universiteit in Amsterdam. Of course, it is possible to manually search for this information and merge it into an overview, but this still takes quite some time.