Everyone has their habits when waiting for flights at the airport. Up until yesterday what I would do was open up iTunes to see if anyone else made their music available. I always found it interesting to see what people that were flying around were listening to. As I was about to do the same thing yesterday that got me thinking about the iPhone app Twinkle. It’s an app that enhances twitter by showing you who’s near you by location. It’s kind if interesting b/c the conversation is coming from people that you probably don’t know near by. Why that’s cool is if something kind of strange is going on, it’s probably going to be mentioned on twitter first – if something happens nearby you can get the info first. On the flip side it’s just interesting to read what’s going on nearby.
Always on the lookout for tools that can show me something new viz. wise w/ twitter – I came across the above tool at http://xefer.com/twitter/michaelsurtees. In a simple timeline it shows the relative comparison of all hours and days of the week that I’ve sent twitter messages. I haven’t come across a timeline like this before that effectively shows comparisons like hours to days to the number of inputs. I’m def. going to use that type of tool for other experiments down the road. Some of the more interesting points from the above chart is that the bursts typically follow the patterns of when I have coffee.
Yesterday I posted a bit of a strange post mentioning the video http://www.hadlowpro.com I saw via eating sandwiches. My original intention was just to mention it on twitter and leave it at that. But when I started typing away I wondered how i could reduce the character count as much as possible. By deleting the space in between words and other symbols I squeezed the line a bit. I also used tinyurl with the via link. So in the end I was able to reduce the character count a bit though the second test was how would it look? By comparing a before and after, the normal spaced version reads and looks better, however the one that reads easier is also a lot easier to ignore. The one long line is different, there’s enough contrast and an understandable system to read the line of text.
I was also curious to see how that twitter post would play out on flickr which is where I originally hosted the images and how it would transfer to an actual blog post. I was actually surprised how well it worked on flickr and not surprised that it was just ok as a real blog post. Before I had thought of doing this test I would never had guessed that flickr could work out as well as it did as a publishing tool, not just a place to upload and share images.