Compare Chrome extensions: TABLERONE tab manager vs HashTest - Realtime Hashtag Testing

Stats TABLERONE tab manager TABLERONE tab manager HashTest - Realtime Hashtag Testing HashTest - Realtime Hashtag Testing
User count 20,000+ 10,000+
Average rating 4.58 3.71
Rating count 597 14
Last updated 2023-07-13 2016-11-03
Size 2.77M 16.38K
Version 1.5.5 1.0.4
Short description
All-in-one tab manager to save tabs, restore sessions, and organize bookmarks. Find the best hashtags while you type, with real time color-based quality scores.
Full summary

Having too many tabs open reduces your productivity. Your computer becomes slow, it takes you longer to find the right tab, and you often get distracted in the process.

TABLERONE tab manager solves this problem by enabling you to close all tabs without losing them. It’s like a better History combined with bookmarks, except you won’t forget about them.

It will make you faster, more organized, and focused. Free. No accounts. 100% privacy.

GET NEW BROWSING SUPERPOWERS:

🗂 Save tabs as bookmarks with screenshot preview 🗄 Organize bookmarks with tags and notes 📚 Set up workspaces and switch between them 🔄 Reopen sessions exactly where you left them ♻️ Restore tabs after a browser crash 🔍 Search open and saved tabs

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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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