Compare Chrome extensions: IQDB Context vs HashTest - Realtime Hashtag Testing

Stats IQDB Context IQDB Context HashTest - Realtime Hashtag Testing HashTest - Realtime Hashtag Testing
User count 3,000+ 10,000+
Average rating 4.78 3.71
Rating count 54 14
Last updated 2021-10-19 2016-11-03
Size 17.98K 16.38K
Version 2.0 1.0.4
Short description
Right-click anime images to reverse-image-search for larger versions through IQDB. Find the best hashtags while you type, with real time color-based quality scores.
Full summary

Right-click on anime images to reverse-image-search for larger/similar versions through iqdb.org. Results open in a new background tab. (Can change settings to open in foreground.)

This is an unofficial extension; I am not related to IQDB.


Version History (changelog):

2.0:

  • Updated to extension manifest v3. Minimum Chrome version increased to 88. If you need the previous version of the extension (0.6.1), it can be downloaded here: https://drive.google.com/file/d/1A_LMEQG3obQSDRhAHn2ze5PjV7rkxi82/view?usp=sharing
  • Settings code revised for manifest v3 compatibility. You may need to reapply your settings.
  • Added option to always spawn the Results tab next to the current tab (enabled by default).
  • Closing the Results tab now returns to the tab you searched from.

0.6.1:

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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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