Particls – now you can all pay attention…

Particls on my desktop

The private alpha ends today. Yep the guys from Faraday Media have made Particls available to anyone who wants it. Go get it now.

For those who don't know Particls is an extensible attention platform. It learns what you like to consume and gives you more of that. I have been using it for quite some time now and have found it very useful.

  • For users: Particls is a filtered news reader or widget that learns what you care about and alerts you to important news and information while you work. More at www.particls.com
  • For bloggers and site owners: Particls allows bloggers and site owners to create a custom version of the application. Particls will share revenue with partners. More at www.particls.com/intouch
  • For developers: Particls is freely extensible by developers. Reach into corporate databases and web APIs to grab and display data in new and interesting ways. More at http://www.particls.com/extensions/
  • How much is it: Particls is a free download with some ads. Later, an ad-free Pro version will be available for a small subscription fee. It is free for Partners to create custom versions.

So Particls is the biggest step forward in the debate over attention. Some of the scenarios people have talked about can be played out in Particls. For example if Particls knows what your browsing about, it can throw up an alert from a site owner suggesting a 20% discount if the person buys that item they were searching for on ebay.co.uk right now. And thats just the start of things.

I once outlined a scenario where Particls is looking at your Microsoft Money account and whats in your Amazon wishlist. It notices you always get paid on the 28th of the month. So through clever logic pops up alerts with discounts for some of your items on your wishlist when you have enough money to pay for it.

This is quite scary but possible. And raises the issue of people taking control of their attention data. Which is where APML fits in perfectly. One of the things which always impressed me with Particls was the ability to look at the result of their I-AM/U-AR engine in XML and adjust it accordingly. This means you can just erase a large section of your personal attention data without too much hassle. It also means you can import from something else like another attention engine or your keywords from your lifestream for example.

So enough chatter, you can download it for the PC here or check out options for the Mac while they develop their native mac version.

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Author: Ianforrester

Senior firestarter at BBC R&D, emergent technology expert and serial social geek event organiser.