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This is a list of notable Twitter services and applications. Twitter's ecosystem of applications and clients crossed one million registered applications in 2011, [1] up from 150,000 apps in 2010. These Twitter apps were built by more than 750,000 developers around the world. [2] A new app is registered every 1.5 seconds, according to Twitter.
Originally an independent app, TweetDeck was subsequently acquired by Twitter Inc. and integrated into Twitter's interface. It had long ranked as one of the most popular Twitter clients by percentage of tweets posted, alongside the official Twitter web client and the official apps for iPhone and Android. [1] [2] [3]
Twitterrific was a macOS and iOS client for the social networking site Twitter created by The Iconfactory and was the first Twitter desktop client to come to macOS. It lets users view "tweets" or micro-blog posts on the Twitter website in real time as well as publish their own. Twitterrific is closed source software.
The app's slogan was "A Twitter client with personality", which is meant to emulate a friendly robot, as the Tapbots' other programs do. The program also had universal syncing through iCloud, allowing for bookmarking between the iPhone, iPad and Mac clients. [2] On June 11, 2012, Tapbots announced the launch of an alpha version of Tweetbot for Mac.
In October 2015, Twitter introduced "Moments"—a feature that allows users to curate tweets from other users into a larger collection. Twitter initially intended the feature to be used by its in-house editorial team and other partners; they populated a dedicated tab in Twitter's apps, chronicling news headlines, sporting events, and other content.
Tweetie was a client for the social networking service Twitter.There was a mobile version that ran on iPhone, iPod Touch, and iPad, and a desktop version ran on Mac OS X Leopard, Snow Leopard and Lion (respectively 10.5, 10.6 and 10.7).
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Twitscoop is a Twitter client and a real-time visualisation tool which enables users to mine the tweet stream. [1]Twitscoop's algorithm identifies tags and keywords in the Twitter stream and then ranks them by how frequently they appear versus normal usage.