Demo HN: Natural Language Twitter Experiment. Beta2 released.

Pretty cool for the beta.<p>You can tell the video is made by a technical person talking about 'redirects' and explaining the login process, and describing the minutia of how each process works. If they are looking to go mainstream with this, I'd recommend a more dynamic demo with less description and more about how useful it is.<p>At the same time, I don't find the UI very compelling. I was expecting a 'timeline' showing tweets with similar themes, etc. This doesn't seem much different from reading my tweets. By gathering some metrics on the number of followers from the tweeter (reader being tweetee) TSR may be able to provide a better method of showing you the most popular tweet on a given topic. Tag cloud navigation doesn't strike me as effective use of NLP vs theme clustering. But maybe that's just me.<p>Best of luck

I meant to get back to you after Beta1... The product is interesting, but wouldn't sway me from using a normal twitter client. For my use of Twitter I care more about who is saying what than what was said overall, if that makes sense.<p>You might want to refocus it as a trend or search type app. If you can out trend twitter trends by picking up on context and not just tags, I think you'd really have something.

I absolutely love it (seriously). I can honestly see myself using this very often. Good job to the team!