The Social TCP/IP Stack

Twitter, Flickr, Doppr, Delicious, Boxee ... it goes on....

Continuing on from a recent post I’d like to tell the world why it is that I’ve migrated from one service (Facebook) to nearly ten (MobileMe, Twitter, Dopplr, WordPress, Flickr, Upcoming, Last.fm, Vimeo, Delicious) which seems entirely rediculous and somewhat overwhelmingly inefficient:

1. Firstly Facebook is a corporate walled garden in a trendy tee-shirt, this makes me very angry.
2. Secondly all the services I use can be updated or used via the web, or even better, by text message via Twitter.
3. The services I use are hot-swappable, that is they are easily replaced, upgraded or removed (thus the TCP/IP reference).
4. The services I use let me and, more importantly, me friends choose how to ‘consume me’ (a’ la JP Rangaswami).
5. The services I use can be aggregated using devices such as FriendFeed or, for media, Boxee.

So I think five are enough reasons for now, oh wait, you can update Facebook for free too. Anyway the only quandary I’m left with is:

How can I present all this information in a way which is both pleasing to the casual observer and useful for those that are interested in the same things as I?

With this I give you the remit for my soon to be released website. The premise follows from a post about tags that I wrote a few weeks back. I was interested in what tags said about me as a person as nearly all the services I subscribe to have tag APIs (or at least a third party generator). These tags contain information about me, my events, my interests, my travel, my photos and most importantly my friends.

Taking these desparate sources and presenting a weighted tag-mash (weighted by the amount I use a service) I intend to produce a superset tag-mash which, when clicked, follows though to a list of referenced content carrying that tag for each of the services I use. This will obvsiouly be accompanied with a per service linkage on the left (a’ la Phil Hawksworth).

I think this could either be a complete mess or an interesting experiment in digital self-discovery.

You decide.