There was another project like this posted a few weeks ago <a href="https://news.ycombinator.com/item?id=9491978" rel="nofollow">https://news.ycombinator.com/item?id=9491978</a>, and I have the same question for this one. :)<p>Why did you decide to use a supervised learning approach for this? You're hard-coding the categories in this manner.<p>You could try using clustering instead (K-means) to group the posts together into their own categories. This is similar to a "trending topics" approach, where the categories could change each day.<p>On a side note, the domain name is terribly confusing.
you don't build a product around a product with 90% same name, it took me 5 min to figure your blog is not of ycombinator, at first seriously, i rejoiced as a designer, that 'finally' design is showing signs of improvments. but only to find, it was of a side-project built around ycombinators's news section. bad choice of name. project is cool.<p>I know it does not matter to ycombinator, because they are cool guys. but know the 'consumer confusion' thing?
Similar projects (various readers for HN) keep popping up from time to time. I'll put on my startup hat and say that there's a market for it, at least an indication that there's a problem :)