NewsBlur

NewsBlur is a personal news reader that lets users follow feeds, train with intelligence filters, and read smarter with AI-powered features. It emphasizes community discussions, cross-platform native apps, and customizable training to surface relevant stories.

Users follow web feeds (including non-RSS via Web Feeds), read stories in multiple layouts, and train the feed using author, tag, title, and full-text inputs. AI-powered story analysis, daily briefings, full-text search, saved stories with custom tags, and ability to train and filter content drive personalized relevance. The product offers native iOS and Android apps, browser/web experience, and integrations with third-party services (IFTTT, Zapier, etc.) plus a shared blurblog for story sharing.

Who it’s for: Individuals and teams who want a personalized, trainable news reader with AI-assisted summaries and cross-platform access, including those who value saved searches, tagging, and collaborative story sharing.

Active product with multiple pricing tiers and free trial; ongoing feature development (AI, training, integrations) and cross-platform apps; references to open source MIT license and Docker/self-host options indicate active user and developer engagement.