NewsBlur

NewsBlur is a web-based RSS reader and feed aggregator that helps you subscribe to sites, organize feeds, and read stories in a clean interface. It includes powerful filtering (“training”) to surface the authors, tags, and topics you care about, plus search and multiple reading views.

Key Features

• RSS/Atom feed subscription and aggregation with folders and saved searches
• “Train” feeds to automatically highlight or hide stories by keyword, author, tag, or title patterns
• Multiple story views, including original site view and text/story view (when available)
• Full-text search across your feed history (requires the search index services used by NewsBlur)
• OPML import/export for migrating subscriptions
• Social features: share stories and follow other users’ shared stories (optional)
• Mobile apps (iOS/Android) with offline reading and syncing
• Multi-user deployment support (accounts, profiles, and permissions model typical of a web app)

Use Cases

• Replace hosted RSS readers (e.g., Feedly/Inoreader) with your own instance and data
• Build a curated “news dashboard” for a team or household with shared reading habits
• Reduce information overload by training feeds to prioritize specific topics/authors

Limitations and Considerations

• The full NewsBlur stack is multi-service (web app plus background workers and search/index components), which increases operational complexity compared with single-binary RSS readers.

NewsBlur is a mature RSS platform with strong filtering (“training”), search, and solid client support. It fits users who want an opinionated, feature-rich reader and are comfortable operating a multi-component web application stack.