The twitter of content based commenting
Tel Aviv, Israel Israel
  • Overview
  • Team
  • Activities
  • Documents
Company description

There are two main issues with the commenting industry today: One, when you have an account with a 3rd party comment service (such as DisQus or LiveFyre) you can only comment on the web sites that host that specific product - this requires you to maintain multiple commenting accounts. Two, end-of-page comment sections are hard to follow because the comments are separated from the page's content. has a solution for both problems: One, our platform enables users to comment on any web page by clicking on content and, two, comments made using are saved in a bubble next to the content that was clicked-on (demo:, alpha URL:, video:

Our publishing platform gives advertisers the ability to advertise inside of any webpage as long as a user is commenting with In addition, we collect extremely valuable information about user behavior, trends, demographics, and perception through text analytic and API software.


View this video to understand in one minute some of the problems we are trying to rectify:

Awards and Mentions
  • 13652_1694
    Of ten start-ups that competed we won second place. The competition included a three minute pitch and a Q&A in front of a panel of judges. The judges came from technology, law, and consulting firms.
  • Business model

    1. Short-term: Revenue sharing agreements with content and affiliate networks. We plan to place content and ad links on the bottom of the comment box used to make comments on the content of any webpage: There are three sections to this image: 1. The condensed image; the user has clicked on the image and is using to comment/ 2. There are two visible comments and one below the fold. 3. Content and ad recommendations; on the bottom line there are links to content and ads related to the selected bicycle image at top.


    2. Long-term: selling raw and packaged demographic, behavioral, and analyzed data; we collect data in four instances; one, each time a user navigates to a new URL, our server is queried with a comment display request, two, when a comment is submitted we receive the word, paragraph or image it refers to and do a back analysis on it, three, the comment we receive is classified in terms of its tone, and four, according to the users demographic information obtained through Facebook's API. These four variables can be cross-referenced, packaged and added to timelines of data points creating comprehensive data profiles. This is a cash cow that will grow in value as a factor of the number of users we have. 


    Competitive advantage

    DisQus, Livefyre and any 3rd party comment system. Whereas their business model relies on their ability to install their products in web sites, we rely on our ability to convey our value to the end user. As long as the user installs, he is no longer limited to the websites in which his/her 3rd party comment system is installed. As long as we can drive traffic on our comment system advertisers will find affiliation attractive and the amount of revenue (from our publishing and data platform) is only limited to the number of users we can add. We have a marketing plan that will target college towns in the USA because it is there that the highest concentration of our target users are found - early adapters, social people, and commenters - and we believe that by focusing our marketing efforts in those geographic areas we can raise our viral coefficient with the fewest dollars spent - lean marketing.