@mwintrob: @jmck Just the little roller for scrolling. Not to guide the entire mouse. That make sense?

@its_SheriseNeub: @jmck Want more followers? check @SherazAli, @nLoGProductions, @BryBeats, @iAmHolliLigget, they follow back! :D

@brklyngirl: Latest "why doesnt this exist already" LED Bicycle Handlebars Glow & Signal Turns http://t.co/lVmhMWVu via @psfk @jmck

@NedRaggett: @jmck Very succinct way of describing it, and better than I could do. Thanks for the link there!

@AmexSync: @jmck thx for enrolling in #AmexBestBuy offer. Spend w/ synced Card & receive credit. See terms: http://t.co/sDhJ4t5I

@bachrachzkab1: @jmck http://t.co/1NxoMRaI

@heflinugsxlr0: @jmck http://t.co/isAvrZ09

@qendy: @jmck not second breakfast?

@mwintrob: @qendy @jmck @LPKTrends Perhaps. Though I would recommend Bills in Sydney. http://t.co/d9OPnqzz

@qendy: @jmck @mwintrob via @LPKTrends Do I have to go to NYC to get this? Emergence of flat white in NY coffee scene http://t.co/vO4Ns75J

@TextExpander: @jmck You might like http://t.co/yhZp7Zah (disclaimer: it released on April 1 a couple years ago)

The positive and negative attitude filters simply find people using the smiling and frowning emoticons; however, it does seem to include several varieties of each emoticon. I would use it as a quick way to find positive or negative mentions, but I wouldn’t use it for any kind of measurement. For example:

@fernandonwtyy: @olllivee3 @jmck @yuricapuci @williamfrick9 @__Dubai__ http://t.co/LH9OEdDn

@sadolan: @jmck you said it. Is this really the beginning of BBQ season? You got snow on the ground?

@sadolan: @jmck exactly what season is it over there?

@biltron: @jmck the Swedenborgian church in SF is wonderful. you should come see it some time.

@palmer_eldritch: Google IS a PKD doodle RT @jmck Google should totally have had a PKD doodle today.

@wollelpawx6: @jmck http://t.co/ZEajQS8Y

@guylzwuf: @pretty_paid19 @Sharice_McQueen @NotTooMuch_ @jmck @ChristelJessica http://t.co/2D0iPDQT #ikea gift card

And so we’ve developed something called “consumer pulse,” which uses Bayesian analysis to scan the universe of comments, categorize them by individual brand, and then put them on the screen of the relevant individual. I personally see the comments about the P&G brand. This allows for real-time reaction to what’s going on in the marketplace, because we know that if something happens in a blog and you don’t react immediately—or, worse, you don’t know about it—it could spin out of control by the time you get involved. The technology also lets us improve things that are working. For example, we’re rolling out a product called Downy Unstopables, a fragrance addition you can add to your wash, and the real-time comments from consumers about the product’s characteristics are helping us figure out how best to join in the discussion through our marketing efforts.

@psetiquette: @jmck soon but not yet. With designers/devs now so familiar with Github, adopting version control should be an easier transition than past.

@sadolan: @jmck as opposed to the Chinese diet: if it moves, eat it. If not, go on ahead and also eat it.

@sadolan: @jmck that's the Muslim+bacon diet.

@sadolan: @jmck @mslabrat just the other day I urged someone to get the massaman curry with pork. #imwithya

For the riot of colours on these maps correspond to the diversity of languages spoken, or rather: typed, on Twitter. 

@JustinLanier: @jmck I see what you did there #golfclap

@JustinLanier: They should just put up a sign that says half off dysentery! RT @jmck: A sign reading "Half Price Sushi" makes me feel ill.

@tomstuder: RT @jmck: For instance, Leather Chair "keemun" black teabags can safely be left by the watercooler - @tomstuder won't drink it.

@ficekuvwbkh9: @jmck http://t.co/KYB2mO11

@JetPens: @jmck @gruber Absolutely- our stock was fireballed! I'm glad we were able to get them back so fast.

@JustinLanier: .@jmck: I'm talking like a old school victrola with the horn speaker and you have to hand crank it.

@chankfonts: @jmck all our music is just black and blue i guess

This got me thinking about the data that is hidden in various social network information streams – Facebook & Twitter updates in particular. People share a lot of information in their tweets – some of it shared intentionally, and some of it which could be uncovered with some rudimentary searching. I wondered if it would be possible to extract travel information from people’s public Twitter streams by searching for the term ‘Just landed in…’.