Compare Chrome extensions: M-Lab Measure vs HashTest - Realtime Hashtag Testing

Stats M-Lab Measure M-Lab Measure HashTest - Realtime Hashtag Testing HashTest - Realtime Hashtag Testing
User count 5,000+ 10,000+
Average rating 4.79 3.71
Rating count 14 14
Last updated 2023-06-06 2016-11-03
Size 17.44M 16.38K
Version 0.21 1.0.4
Short description
Measure your Internet connection using M-Lab's Open Internet Measurement tools. Find the best hashtags while you type, with real time color-based quality scores.
Full summary

The Measure app provides an easy to use test to measure the performance and health of any Internet connection. Use it to easily track the performance of the Internet connections you use over time. Conduct your own research on Internet connections worldwide.

Features include running a test on demand, scheduling tests to run regularly, annotation of your test results, and CSV export of all test data.

The Measure App uses a test called the Network Diagnostic Tool (NDT), which is developed and maintained by Internet 2 and hosted by Measurement Lab (M-Lab). It is a sophisticated speed and diagnostic test suitable for both the novice and the network researcher. For more information on NDT and other M-Lab tests, please visit http://www.measurementlab.net/tools/ndt.

For help using the Measure App, please visit the wiki: https://github.com/m-lab/measure-app/wiki/Documentation

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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