Compare Chrome extensions: Userback: Visual Feedback & Bug Reporting vs HashTest - Realtime Hashtag Testing
Stats | Userback: Visual Feedback & Bug Reporting | HashTest - Realtime Hashtag Testing |
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User count | 5,000+ | 10,000+ |
Average rating | 4.83 | 3.71 |
Rating count | 41 | 14 |
Last updated | 2024-04-08 | 2016-11-03 |
Size | 7.69M | 16.38K |
Version | 5.0.18 | 1.0.4 |
Short description | |
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Userback is a visual feedback & bug reporting tool for websites | Find the best hashtags while you type, with real time color-based quality scores. |
Full summary | |
Userback’s browser extension helps product managers, designers and developers revolutionize their feedback process with a no-code option for feedback capture. Download, install, and start submitting feedback in a flash. Navigate to any website or web application, click the Userback extension, and effortlessly provide feedback. Streamline the process with annotated screenshots and videos and get your message across like never before. Collaborate with your team by inviting them to your Userback projects and streamline workflows by connecting Userback with project management tools like Jira, Slack, GitHub and more. ✨ KEY BENEFITS
✨ WHAT CUSTOMERS SAY "Awesome Tool To Gather Customer Feedback, Bugs" - Kaushal, Founder |
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? |