4 items
User-configurable feed filtering for LinkedIn FeedHole filters your LinkedIn feed based on rules you configure. Think Pi-Hole, but for social media noise. WHAT IT FILTERS: - Promoted/sponsored content - Engagement bait ("Agree?", "Thoughts?") - Origin story hooks ("I was fired...") - Newsletter pitches ("Link in bio") - Reposts without commentary - Hashtag and emoji spam HOW IT WORKS: - Pattern matching runs locally in your browser - No data ever leaves your machine - Floating badge shows filtered count in real-time - Click to see exactly what was filtered and why - Toggle any rule on/off, adjust thresholds - Add custom blocked phrases and muted authors PRIVACY: - Zero data collection - No external API calls - No account required - 100% open source: github.com/ZeroBlind2025/feedhole Your feed. Your rules.
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.