Iteration 2: In the second iteration, we wrote a node.js applet. We decided to use Twitter's API to pull a user's followers and their current statuses every 30 minutes, and then we used a sentiment analysis API to rate each status as positive, neutral, or negative (link: http://text-processing.com/docs/sentiment.html). Then we determined which rating (positive, neutral, or negative) occurred the most and published an event with that information. The Photon then pulled that information, and if the statuses were mostly positive or neutral, it would turn on the LEDs in the bracelet; otherwise, it would turn off the LEDs in the bracelet.