On Stompstart by 12 February 2016 · New York · United States

Backroom.

A New York messaging app built around the things friends read and watch, set aside by its founders in early 2016.

Social and community

Timeline

  1. Discontinued

    In a Medium post, Sujay Maheshwari wrote that he and his co-founder did not want to pursue Backroom further because their go-to-market strategy had not worked.

    Discontinued · Announced
    medium.com
  2. Listing page saved

    The Wayback Machine saved this listing page.

    The saved page ↗
  3. Listed on Stompstart

    “Content messenger where friends can chat privately over things they read and watch”

As listed on Stompstart

Listing date unconfirmed · page saved 12 February 2016 · Public

“Content messenger where friends can chat privately over things they read and watch”

A content messenger for friends to share and chat privately over articles, videos, tweets, or any media. Currently, these private conversations are spread out across emails, text messengers or other platforms which also provide a private message feature (e.g. Twitter DM). Backroom makes it easy to both share and consume relevant information in a private space - whether it’s a static content (an article) or a live stream (an NBA game). We want to build a communication solution which is content-native. What we mean by that: It understands if it’s a tweet, or a live stream and makes conversations richer and more engaging. We do not undermine what machines can recommend us, but we think if the “seed” can be created by people who know us, machines can use this “seed” and do a better job of recommendation.

Topics
Content curation, Messaging
Platforms
Mobile
Location
New York · United States
backroomapp.com ↗youtube.com/watch ↗facebook.com/backroomapp ↗twitter.com/backroomapp ↗linkedin.com/company/backroomapp ↗

In our words: Its Stompstart page described Backroom as a content messenger where friends could share articles, videos and tweets and talk about them privately, instead of scattering those conversations across email, texts and direct messages. The team said it wanted the app to understand whether it was handling a tweet or a live stream, and to use friends' picks to improve recommendations.

See the saved page ↗

Sources

  1. medium.com
  2. github.com
  3. tracxn.com
  4. backroomapp.com
Publication record
Release
sha256:53917a2ce62eb634125c1ff362d7740ab64feae2d83ad7e0e2c6da3fde426fcd
Revision
sha256:fc7eb1c9b88de468341c206a1554b2e2f87f43509c80d5e48623a62723be2930

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