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Read your LinkedIn feed in a clean, Hacker News-style text view. Adaptive Feed Reader converts your LinkedIn feed into a compact, Hacker News-style reading view — no images, no noise, just posts. Click the extension on your LinkedIn feed and the current tab is replaced with a ranked text list of posts. Post links stay clickable, author names link to profiles, and the original feed is always one click away. Good for: - Reading your LinkedIn feed without visual clutter. - Skimming posts fast in a compact ranked layout. - Focusing on content, not engagement metrics. - Viewing already-loaded feed content without sending page data anywhere. Privacy-first behavior: - Runs only after you click the extension. - Works only on your LinkedIn feed (www.linkedin.com/feed). - Reads only the active tab's visible page content. - Processes everything locally in your browser. - Does not send page content, profile data, cookies, or browsing history to any server. - Does not store extracted posts. Current release notes: - Designed for the LinkedIn feed. Click "View as Hacker News" to activate, "Normal view" to return. - The More button loads additional posts when LinkedIn exposes a Load more button or responds to scrolling. - The extension does not bypass login, scrape in the background, or call private site APIs. Adaptive Feed Reader is not affiliated with LinkedIn, Hacker News (hackernews, news.ycombinator.com), or Y Combinator. Privacy policy: https://adaptivefeedreader.ampliora.cc/privacy
Jul 1, 2026
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.