TrendSpottr is a real time search and curation tool, which attempts to bring together the buzz and activity across a number of channels in one place, via custom software which algorithmically determines relevance, categorisation and usefulness for particular searches. It’s a really great idea for a startup considering the web is as noisy as it is, and it is becoming more and more difficult to get a hold on what is popular across so many different channels.
Whilst some social news products concentrate largely on people to power them directly (Digg et al), Trendspottr attempts to determine relevance on a number of social signals, letting the content which is currently trending and going viral on the web bubble to the top. With topics seeming to be pulled from user data garnered from their own site, Facebook and Twitter searches, TrendSpottr taps into the social web to bring back the information within categories that you care about.
A bookmarklet is available allowing you to quickly select text that you want to search on, and one click of the mouse and you can find out what is buzzing around that particular term or phrase.
Trendspottr also takes a look at location in its interface, allowing you to search for social news which not only exists within a particular topic area, but also is within a particular location. This lets you see at a glance what topics are hot within ‘technology’ in New York, or ‘ Celebrity in Dublin’. Whilst not all world cities are covered, the service is still in Beta, and I would expect this offering will improve over time. I would have liked to have seen a couple of other additional sources (Google Buzz, or indeed any of these buzzworthy sites) integrated in, which would potentially improve the data. That said however, its a fun little product which curates content automatically, and does a pretty good job.