![]() ![]() 6 more are general social aggregrators like Flipboard. Going through the top 50, only 10 are specifically about Twitter. Twitterrific ranks below the timeless classic, “1,0000 YoMama Jokes”. How is the third result Cool Wallpapers HD? Or to be exact, how is the third result Cool Wallpapers HD & Retina Free with Facebook & Twitter for iPhone iPod iPad?Īt the time of this writing, Tweetbot is #31 and Twitterrific is bafflingly #154. If I search the App Store for “Twitter” I see this instead: Tweetbot and Twitterrific are the best Twitter apps on the Store, or at least some of the very best. Intuitively, I would say the App Store search results for “Twitter” should be: Further, why would releasing as a new app affect this at all? Which 67 apps could be a better search result for “Twitter” than Twitterrific? Twitterrific is the Twitter app that started all Twitter apps, and is still widely regarded as one of the best. Twitterrific v4 = 4th result for “Twitter”. Risk in launching new paid v of existing apps: Slips in App Store search results. Subscribe to the site via the feed, or build something cool with the API.Last week Iconfactory co-founder Gedeon Maheux said something I found incredible: Unless otherwise noted, everything is available via the Attribution-Share Alike licence. Uses This is supported by ZSA, makers of the Moonlander, ErgoDox EZ and Planck EZ keyboards. Also, if someone were feeling really generous I would take two Apple Cinema displays, and have a true hacking command center! In the meantime, however, I would settle for an upgrade to 8GM of RAM in my current MBP and one of those gorgeous Apple Cinema displays to plug it into. Then for everything else, I could just carry around one of those sexy new MacBook Airs to check email and Twitter, and occasionally running command-line queries to get the status of my EC2 jobs. For the work portion I would have unlimited AWS credit, and a cache of tailored AMIs stored so I could spin up whatever kind of instance I needed to get the job done. In an ideal world I could split my hardware needs between work and everything else. For writing and slide decks I stick exclusively to LaTeX and beamer respectively, and when I simply HAVE to open a Word document I use OpenOffice. I am slowly warming to RStudio as a possible alternative to doing all my R coding between TextMate and the R console, but given the amount of effort I have put into customizing TextMate it is still a ways off. I am a huge fan of ipython for doing Python hacking at the command-line, and am super excited for the next big release. My primary programming languages are Python and R, but not necessarily in that order. It is a great little app for strictly doing blog posts, and is especially useful if you maintain more than one. The only text editor exception I make is for doing blog posts, where I use MarsEdit. At this point I have programmed in so many key-stroke combos to my TextMate that I might as well be in Emacs, but alas. For actual "work" I spend most of my time in a text editor, and I am a huge fan of TextMate, despite the fact that it has been abandoned. I use Sparrow for email (even after upgrading to OS X Lion), Chrome for browsing, and Echofon for Twitter. I am still waiting for a clever company to come along and figure out a something to replace the whiteboard, but in the meantime I am happy to work with my dry erase pens. I also have access to ample whiteboard space in my office, which often acts as the midway point between pen and paper ideas and code. When I am at my desk, I have the MBP hooked up to a 21" display, and my Bose Quiet Comfort noise canceling headphones jacked in so I can fully lock into the task at hand. I also have an old (circa 2008) ThinkPad with Ubuntu 11 installed, for when Mac OS is giving me fits with an installation. Once those ideas are ready for some crunching, I have a 15" display 2 GHz MacBook Pro with 4GB of RAM as my primary machine. If I can ever get my hands on a graphing paper notebook I prefer that, but I never seem to be able to hang on to those. Most ideas start in a lined notebook with a multicolor pen for scribbling. I spend just about all of my time trying to figure out how to extract more meaning from data, and then constructing useful stories around those discoveries. I also run a blog, called Zero Intelligence Agents, where I discuss this intersection as well as machine learning, networks, and data visualization more generally. Currently, I am a fully time PhD student at New York University, where I research micro-level conflict, such as terrorism and civil war, using the tools from mathematics, statistics, and machine learning. ![]()
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