We're currently in alpha, but you can sign up for the public beta and we'll notify you when we launch. Thank you!

Many web communities rely on a direct democracy to decide which content they should show you. The things you're shown aren't designed to be relevant to you, they're designed to be relevant to a hypothetical "average community member". As a community grows, it's difficult to maintain the character of the community, which leads to censorship by unelected moderators. Once the gap between a group of users and the "average community member" becomes large enough, the minority group will start their own community elsewhere, as we've seen recently with communities like Digg, Reddit, Hacker News, Designer News, Growth Hackers, Hubski, EchoJS, Inbound, DataTau, Lobsters, USV, Biotech Pulse, FireSpotting, and dozens of others (many of which have failed).

Using machine learning techniques like collaborative filtering and natural language processing, we want show you things that are relevant to you, let the community moderate itself, and dramatically hinder the fragmentation of our communities. We don't need more communities, we need a smarter community. Instead of competing with the existing communities, we want to consolidate them and allow the cross-polination of people and ideas.

This has never been done before, so experimentation is the name of the game. The first community we'll be working with is Hacker News, a fantastic reseource for both programmers and entrepreneurs, hosted by YCombinatator. Once we're finished, we'll invite everyone on the public beta list to check it out.

We'd love to hear your thoughts on this project, so please feel free to ask questions and make suggestions by creating a new issue. Interesting in participating? Please check out the contribution guidelines before submitting your pull request. Thanks!