Compare Chrome extensions: Treeverse vs HashTest - Realtime Hashtag Testing

Stats Treeverse Treeverse HashTest - Realtime Hashtag Testing HashTest - Realtime Hashtag Testing
User count 4,633+ 10,000+
Average rating 4.77 3.71
Rating count 22 14
Last updated 2022-06-23 2016-11-03
Size 395.26K 16.38K
Version 4.1 1.0.4
Short description
A browser extension for navigating burgeoning Twitter conversations. Conversations are visualized as a tree. Each node (square) is… Find the best hashtags while you type, with real time color-based quality scores.
Full summary

A browser extension for navigating burgeoning Twitter conversations.

Conversations are visualized as a tree. Each node (square) is an individual tweet, and an edge (line) between two tweets indicates that the lower one is a reply to the upper one. The color of the line indicates the time duration between the two tweets (red is faster, blue is slower.)

As you hover over nodes, the reply-chain preceeding that tweet appears on the right-side pane. By clicking a node, you can freeze the UI on that tweet in order to interact with the right-side pane. By clicking anywhere in the tree window, you can un-freeze the tweet and return to the normal hover behavior.

Easily discover the best and most popular hashtags to increase your reach on Social Media.

What does HashTest.io do? HashTest.io tries to help you find the best hashtags for your social media content whether it’s Twitter, Instagram, Facebook, or whatever.

Why do hashtags matter? Hashtags are essential to making sure your content reaches the correct audience. In fact, using hashtags on Twitter can increase engagement with your content by up to 40%.

Why does hashtag popularity matter? Super-popular hashtags have diminishing marginal returns: if everybody on the planet uses them, your content will be lost in the torrent. But using obscure and relatively unused hashtags is utterly useless too. So the best hashtags are the ones that are both popularly used and most likely to result in increased engagement.

So how does HashTest.io determine what hashtags are best? With some super awesome number crunching magic, analyzing tons of data, and a pinch of dragon’s blood. Obviously.

Why does HashTest.io not report on other analytics data such as likes, retweets, shares, and other things?

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