Building the next Big Data platform, in real-time.
Back in 2007, the main source of news + content was consumed through individual RSS feeds. Nick Halstead, frustrated with this status quo set out to build technology to automatically categorize millions of RSS feeds.
Ahead of its time, fav.or.it tracked 'social signals' - explicit 'liking' and implicit data about time viewing articles - to rank popularity of content. Then fed back this data into algorithms on what content to share with other users.
With Twitter’s growth in popularity, the company was quick to realize the value of the links share on the micro-blogging platform. By applying fav.or.it’s technology to Twitter it became - TweetMeme.
TweetMeme’s news aggregator experienced an explosive growth to tens of millions of users within less than a year.
The Retweet Button
TweetMeme’s popularity proved that the world needed a new way to easily re-share content from Twitter - Tweetmeme’s Retweet button was born.
The company automated understanding the contents of the tweets thus automating the categorization of tens of millions of links per day. It also was the first one to use the idea of social authority. And the Retweet button was installed on more than half a million websites around the world.
Soon, the company realized that TweetMeme’s technology was proving extremely valuable to businesses that wanted to curate content about themselves. TweetMeme then exchanged the Retweet button for long-term access to Twitter’s firehose.
And Nick made a decision to build the ultimate engine for programmatically understanding what is being said within social data streams.
This engine today is DataSift.
Over the years, DataSift has grown into the Big Data company whose raison d'être is to empower organizations to harness the power of Human Data in real-time.
Human Data. The fastest-growing type of data, covering the entire spectrum of human-generated information, shared across social networks, blogs, news sites and inside the business.
DataSift is the only company that provides state-of-the-art technology that allows you to capture, analyze and act on all the types of Human Data, without compromising consumer trust.
The DataSift story, so far
Smart. Transparent. These are the words that come to mind when describing DataSift and people who work here.
With billions of social interactions and real-time blog and news data to deal with on a daily basis, there’s always something exciting to work on, another unsolvable problem to crack.
With colleagues in San Francisco, New York City, Reading and London, UK and Canada, you will feel of a part of something even bigger than the Big Data revolution.