Open Tweet Filter

Filter tweets in Twitter web site.

What is Open Tweet Filter?

Open Tweet Filter is a Chrome extension that allows you to filter out tweets by their contents or authors. It supports regular expressions and provides the option to save filter settings as a bookmarklet. The tweets are hidden, not deleted, and can be easily retrieved. Your data is kept private, with no information sent to any server.

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Stats

This extension was removed from Chrome Web Store on 2023-08-29

By: Ricardo Stuven

Users: 19,405+

Rating: 3.64 (247)

Version: 2.5.0 (Last updated: 2017-06-15)

Creation date: 2017-06-15

Risk impact: Low risk impact

Risk likelihood: High risk likelihood

Manifest version: 2

Size: 524.29K

URLs: Website

Stats date:

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Not available on Edge

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Summary

Analyze keywords

IMPORTANT: To report bugs, request features or make questions, please go to SUPPORT section instead of REVIEWS. I don't get notifications of reviews, so your feedback is better channeled through Support.

If you have a lot of tweets filling your timeline about certain topic or person you are not interested in, this extension is for you.

Features:

You can filter out tweets by their contents or by their authors.
You can filter out tweets using regular expressions (for example, all words beginning in "auto" using: /\Wauto/)
You can save your filter settings as a bookmarklet.
The tweets are not deleted but just hidden, so you can get them back any time by disabling the filter or changing the criteria.
It supports both the "new" and the "new new" Twitter versions.

Usage details and source code are available in https://github.com/rstuven/OpenTweetFilter/

NOTE: We respect your privacy, so no data is sent to any server. Your filters are stored in your browser local storage (or saved as a bookmarklet) and processed in your own computer.

User reviews

User reviews summary

These summaries are automatically generated weekly using AI based on recent user reviews. Chrome Web Store does not verify user reviews, so some user reviews may be inaccurate, spammy, or outdated.