People often ask me how I stay informed, and always seem to know even about smaller initiatives around the topics I work on. Part of that is what I call ‘Radar’. With Radar I automatically collect all the Twitter messages that mention keywords I am interested in, and detect the web addresses they mention. Those web addresses are evaluated on their type (is it a blog, a video, a general site, a presentation, a photo?) and counted as to how often they are mentioned.


Running totals for Radar: found 350k people, mentioning over 1 million URLs

Radar then presents me with overviews of all URLs mentioned on Twitter in the past day, or week, on the key words I follow. This way I find not just the ‘big’ websites, but also the smaller events, initiatives and discussions, that are mentioned by smaller communities. Next to URLs Radar also tracks who is mentioning certain topics, which basically gives me a list of suggestions of who to maybe follow on Twitter, or who’s profile I may want to look at to see if they also blog about the topics I am interested in.


Most mentioned URLs in 4566 tweets on Open Data in past 24 hours


The 47 people tweeting about FabLabs today, new people highlighted

What comes out of my Radar then may get added to my feedreader, or to my bookmark collection, or to my notes collection in Evernote. Radar is the serendipity antenna that scoops up a wide variety of things. To me, whatever is being mentioned on Twitter is like the froth on the waves: it is not all that meaningful by itself, but shows me where there is movement and energy of interaction. That points me to the places and people that make up the wave below the froth. Which is where the significant info is.

Radar at first was a bunch of php scripts I wrote myself that ran on my laptop and which I started manually in sequence. My coding skills aren’t all that great though, so ultimately I asked Flemming Funch to clean things up for me. That meant he coded the scripts from scratch, with only my original outline of what I wanted remaining. Now it runs permanently on my VPS with a basic web front-end for me to explore the output (see screenshots).