Discovering a discovery site
Tonight I got a tweet from @TechCrunch on Twitter extolling the virtues of LOUD3R, one of the newest discovery sites after Digg, Reddit, Techmeme and the like. It has a network of 30 topic-specific semantic search engines, and tonight I played around with one of them, PITCH3R. You can click a subdirectory there and find specific topics such as “All-Star Game” — and looking through there, Alyssa’s latest post just a few hours ago had ascended in the top 10. If you click the headline, you’ll see the lede and be prompted to go to the actual page for the full article. It will be interesting to see how many MLBlogs are “discovered” there. Their server was down when I went there a little after midnight ET but eventually I got in, and you have to register and after that, you are able to “Submit A Story” and “Submit A Source” from their main nav. Can’t hurt if you’re all about getting traffic to your blog. I like the mix of results so far, a really diverse blend of sources and voices. Worth tinkering around with, seems pretty cool if you’re a fellow Magellan out discovering. For each site, LOUD3R gathers and publishes content (including photos and videos) from blogs, news and editorial sites. Each site has a source list and a semantic glossary of terms that teach the engine how to identify the best content. The content is ranked with a point system, pushing the highest ranked to the top. The engine also learns from user behavior, community feedback and human editors. What ways do you discover information for your blogs?