Sure, I'm going to be writing a longer blog post on how I made it, but for now here's a short summary:

I made a script that scrapes all the links from hacker news every 15 minutes. I then open the links and process the text using python's nltk package (deciding what words are important and useful). Then I used a suffix tree in a mongodb backend to store the important words in such a way that once it looks up a word you can get the set of documents pertaining to the word. This way the search is linear in the length of the query and not the number of documents. The rest was just some jquery ajax calls and parsing of the search query.

I'll look into a new design, maybe make the orange's white and the white's orange.