SOURCE: InternetArray, Inc.

August 17, 2009 09:15 ET

InternetArray's Noobis Launches ShirtShop

Unique Revenue Sharing Model to Initially Target Students

NEW YORK, NY--(Marketwire - August 17, 2009) - Noobis Inc., an InternetArray (PINKSHEETS: INAR) company, has released ShirtShop, a Facebook application that allows users to design and market T-shirts. The initial target is students returning to class this Fall. Fraternities, sororities, clubs, organizations, and other school groups will be able to earn money while selling shirts they design and promote to their members and friends.

"Successful applications allow for user generated content that can be spread virally through the social graph," stated Jon Brennan, President and CEO of Noobis. "ShirtShop does that by giving users the ability to design their own shirt, promote it to their friends, and even profit from the sale of their own designs."

Shirts are available in a wide variety of colors and sizes starting at $15, including shipping and handling. Designers will make $2 per shirt they sell. You can learn more about the application and install it by visiting this link.

About InternetArray, Inc. (

InternetArray, Inc. provides guidance and investment for innovative, early stage Internet companies. The Company's mission is to identify and develop collaborative business partners into viable and profitable companies.

About Noobis, Inc. (

Noobis, Inc. develops and integrates social media applications and networks. In addition to building its own Internet assets and technologies, Noobis works with clients and partners to leverage the emerging social media marketplace.

This press release may contain certain statements that are not descriptions of historical information, but are forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the Exchange Act of 1934. These forward-looking statements refer to matters that involve risks and uncertainties. Such statements reflect management's current views and are based on certain assumptions. Actual results could differ materially from the assumptions currently anticipated.

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