The business networking site LinkedIn has now launched a new application platform they call InApps. It's an OpenSocial-based platform that enables third-party developers to create applications that get embedded into LinkedIn user's profiles. While this follows along the model used of Facebook, MySpace and host of other social platforms, it differs in its emphasis on being business centric in nature and, like the service itself, follows a much more controlled and button-downed approach. And like the LinkedIn API that we reported on last year, access is limited based on an approval process.
As a developer, good ways to store those often-reused snippets of code that correctly solve a common problem is always useful. Now, there are other solutions to this problem, such as the Snipt API, which I covered previously, but Pastebin.com is the most often used, perhaps because it has beeb the favored place for notes from hacker group LulzSec. Pastebin has a nice, full-featured API, and is simple and free to use, at least at a basic level.
For the developer seeking to experiment efficiently with social APIs, O'Reilly's 2nd Edition of "Mining the Social Web" is a truly outstanding resource.
Author Matthew A. Russell drops the developer right into the sandbox of each social network (Twitter, Facebook, LinkedIn and Google+ are particularly emphasized, as you would expect) with just the right amount of explanation about what's accessible via each dataset, and then clears out all the obstacles so they can start data mining against very clear examples.