Or, at least soon you will be. The Next Web has all the details.
With over 26,000 tweets under my two-sizes-too-big belt I can say that I’m very happy about this. Twitter has now given me a way to relive the last 6 years of my life whenever I choose.
“Our data experts performed an identical series of activities on Google Maps and Apple Maps that included searching for several US cities, addresses and airports and zooming in and out to locate specific locations. On Google Maps, the average data loaded from the cellular network for each step was 1.3MB. Apple Maps came in at 271KB – that’s approximately 80% less data! On some actions, such as zooming in to see a particular intersection, Apple Maps’ efficiency advantage edged close to 7X.”
“However, it seems that even in Satellite View, Apple has considered data usage. Our tests found Apple Maps uses only half as much data as Google Maps for the same Satellite searches and views (an average of 930KB for a single page load on Google Maps vs. 428KB for Apple Maps).”
Whether you’re on the iPhone 5 using LTE or on not… that kind of reduction in data will certainly increase the responsiveness of Maps when you need it the most. I can say that in my use of Maps over the last two weeks it has been all but flawless and blazingly fast. I’m totally happy.
/via Walt Mossberg on Twitter.
Maybe you’ve heard; Facebook bought Instagram for a cool $1 Billion. Remember, I said it was a network not a camera. Well, some people are a bit miffed and are planning their escapes. Not nearly as many as I’d thought would though seeing how many people were up-in-arms about Instagram on Android.
Assuming you didn’t already share your Instagram photos to Facebook, Flickr, or Twitter and also assuming that you deleted all of the photos off of your iPhone without backing them up first – you could export your photos from Instagram using instaport.me.
I’m in no hurry to leave Instagram. But we’ll see what the next year or so means for the service.
DeWitt Clinton, heckuva name, recently sampled some Twitter data to determine the number of active users on Twitter. The sampling is rather exhaustive (at least for this guy with ADD ((I don’t really have ADD.)) !) and, if accurate, would shed a lot of light on a number of things.
I’ve done my own, rather simplified version, of sampling some Twitter data. I was primarily trying to determine the number of “real followers” I had as opposed to what Twitter says. I came up with much lower numbers than Clinton did, but then again his sampling was much larger. At current my Twitter account hovers around 1,600 followers. If Clinton’s data is accurate, that puts me at about 350 active followers.
That seems to be right on the money. Either way, it shows that those that have tens of thousands of followers on Twitter really don’t have that kind of pull. But they still have about 30% of that pull.
Source: Sampling Twitter.
Via: Andy Baio.
Although I do not do a lot of this sort of thing much any more, I remember spending many an hour in Excel fighting with various bits of data that I exported to make subtle edits to thousands of rows.Â After a little bit of experience I began to build Visual Basic scripts, or Macros, that would allow me to do these tasks in an automated fashion.
Boy do I with I had Dabble DB‘s Magic/Replace tool back then.
Magic/Replace allows you to paste a huge block of data, make as many changes as you’d like to a single or set of rows, and it will “remember” the changes you make to the data and apply those changes to the entire set of data. I know that doesn’t sound interesting but it is quite awesome.
Having “Magic” in the name of a product is rarely warranted. But I believe in this case it is. Â Be sure to check out the video demonstration to get the full effect of how good Magic/Replace really is.
Via: Simon Willison.