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"Particls reduces rivers of news to a trickle" |
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Mark Jones,
Australian Financial Review |
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“Particls is the coolest thing I’ve seen in
quite a while” |
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Marshall Kirkpatrick,
TechCrunch |
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“Particls has every chance of becoming a
standard” |
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Michael Mahemoff,
Ajaxian |
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“Particls is a powerful app that is going to
be a permanent addition to my desktop tools and
daily research setup.” |
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Mark Johnson ,
TechZoogle |
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Manifesto
Attention is
what you care about. It is a resource
that is quickly evaporating as an
avalanche of information sources clamor
for your time.
Attention Deficit is a phenomenon that
occurs at watershed moments in
publishing. It occurred when TV went
from 3 to 300 channels. It occurred when
the internet reduced the cost of
publishing and it is occurring again as
social/time-shifted media takes root in
the main stream.
Each time the technology community found
a solution. For TV, we invented VCRs,
for the Internet we invented Search and
now… we need a new solution.
Attention Profiling is the process of
analysing all your data (email, browser
history, IM conversations, bookmarks,
OPML etc) in order to create a profile
about what you care about.
Personal
Relevancy is about comparing an item
(person, place or thing) against your
profile and other relevant factors in
order to work out how important
something is to you.
An Attention Management Engine is an
engine that proposes to solve the latest
Attention Deficit Problem by calculating
the Personal Relevancy of content and
using a set of
presentation rules in order to manage
and filter the flow of information into
your consciousness.
While Attention Data recorders are well
represented (E.g. Attention Trust
Attention Recorder) and site/application
specific examples of applied Attention
Modelling have being implemented (E.g.
Amazon Recommendations), a personal
meta Attention Manager has yet to kill
the category.
Particls is a client-side Attention
Management Engine that aims to become
the preferred platform through which
a user's Attention Profile (derived from multiple sources)
is combined with user defined
presentation rules in order to send
change alerts
and content to a user while they are
being productive with other things (I.e.
without the need for them to bury their
head in a news reader or web browser).
The more important the update, the more
disruptive the presentation.
Reproduced from a diagram by
Kevin Lynch
- with permission from the author
In a Web 2.0
world (where an increasing number of
applications are moving to the web)
Particls moves beyond 'RSS as news'
and offers an opportunity for web-based
applications to reach the user in an
all-purpose client-side dashboard - even
when the browser is closed.
With Particls, you can control and
filter the flow of alerts from your
company CRM application, the latest news
from your favourite blogs and the
progress of your downloads in one
interface - an interface that will
eventually follow you from device to
device. |
