Public Granted Access to Personal Shopping Engine's Key Functionality
CAMBRIDGE, Mass., March 31 /PRNewswire/ -- StyleFeeder.com, the
personal shopping engine, today announced open access to its API. The new
open API initiative allows social media developers to create third-party
applications, widgets and even integrate all of StyleFeeder's key
functionality into any e- commerce website.
"We looked around at the current industry and saw the need for open
access to push e-commerce and shopping discovery to the forefront of online
consumer activity," said Philip Jacob, StyleFeeder's founder and CTO.
"Essentially, we're offering a potent set of personal and social online
shopping tools to developers -- the possibilities are endless."
Following a full site re-launch in July of 2007, StyleFeeder is
exposing its unique and powerful shopping discovery technology through its
open access platform, which has been in use internally for more than a
year. StyleFeeder's open API offers developers a robust package of
flexibility with its customizable image sizes, fast response rate and
read/write capabilities. Available methods include all of StyleFeeder's key
functionality, such as the personalized search engine, bookmarking tools,
item recommendations, watchlist (connecting users with similar styles),
StyleFeed (bookmark gallery of your added items), StyleTwins (people with
similar taste) and more.
StyleFeeder recently secured $2 million in series A financing from
Highland Capital Partners and Schooner Capital. After receiving angel
financing last year, StyleFeeder.com has grown significantly with more than
four million page views each month and more than 800,000 unique visitors
per month. StyleFeeder is the largest shopping application on Facebook with
nearly one million installs.
*Note to editors and developers: For more details on the open API
initiative, visit StyleFeeder's Developer's Page at
http://developers.stylefeeder.com/.
About StyleFeeder (http://www.stylefeeder.com):
StyleFeeder combines the best of Web 2.0's social and personalization
aspects in the Web's only intelligent personal shopping recommendation
engine. By learning about each person's unique sense of style, StyleFeeder
helps shoppers discover new products they'll love and others who share
their tastes. Even search results are returned with the user's predicted
order of preference in mind. StyleFeeder has also created the largest
shopping application on Facebook, helping social networkers share their
latest shopping finds and access their personal recommendations within the
Facebook experience. Shopping the way it should be -- personalized, easy
and always with friends. http://www.stylefeeder.com.
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