Monthly Archives: May 2010

#OperationShoutOut in support of U.S. Military service people

Office Depot and Lexmark are donating new Lexmark printers to Operation Homefront, a non-profit organization dedicated to the needs of military families nationwide, each time a customer purchases a Lexmark printer in an Office Depot store (regularly priced at $199.99 and above) or online here. Office Depot and Lexmark hope to donate more than 4,000 printers.

How Twitter is involved

Beginning now through June 5,  tweet the name and rank of a loved one in the military, along with the hashtag: #OperationShoutOut, from your Twitter account, and you’ll be entered for a chance to win one of 10 Lexmark printers. This is part of Office Depot and Lexmark Operation Homefront program. Read more about the program here.

“Office Depot is honored to support Operation Homefront through our partnership with Lexmark, and give back to thousands of military families by providing printers through this special program,” said Steve Mahurin, Executive Vice President of Merchandising for Office Depot. “We applaud Operation Homefront for their dedication to military families all over the world, and we hope that our customers will embrace the opportunity to help these families as well.”

“Operation Homefront provides necessary assistance to the families of U.S. military troops who are serving our country,” said Paul Rooke, executive vice president and president of Lexmark’s Imaging Solutions Division. “Lexmark is pleased to support dedicated partners like Office Depot that value corporate citizenship as much as we do. In addition to saving time and money with their purchase of a Lexmark all-in-one printer, customers will walk away feeling good about supporting this worthy cause.”

How to search ‘near’ a location in TweetDeck

A very much-requested feature for Tweetdeck has been worked out: How to search near a location. Here’s what you need to do:
To search ‘near’ a location in TweetDeck use the following “<query> geocode:<long>,<lat>,<radius><mi/km>” eg for Pancakes in 25 Mile Radius of London UK: “pancakes geocode:51,0,25mi”
Thanks to @mattslight for posting this at