Report updated Apr 16, 2026
NewsBlur
For power users, news enthusiasts, and professionals who require granular control over their information consumption.
Overview · Full Intel report in progress
NewsBlur is an established news app that is free with in-app purchases. With a 4.4/5 rating from 3K reviews, it shows polarized user reception.
What is NewsBlur?
Current Momentum
v14.5 · today
IntenseLast updated 0d ago. 5 versions tracked.
Competition
Rivals identification in progress
7-Day Rank Pulse 🇺🇸
NewsNo ranking data
Rating Pulse 🇺🇸
What makes this app unique?
What Does It Look Like?
What Are The Key Features?
Extracts the complete content of stories directly within the app, with settings that are sticky per-feed.
Provides offline support for stories and images with customizable sync settings.
Enables users to share, comment on news, and meet other readers with shared interests.
Includes collapsible folders, saved stories with tagging, and granular filtering by unread status or feed source.
How much does it cost?
Who Built It?
Aggregating news and web feeds for power users who require granular control over their information consumption. Enabling personalized content curation through intelligent filtering and social integration.
Portfolio
2
Apps
What other apps does NewsBlur make?
Explore the full NewsBlur report
Portfolio breakdown, audience, momentum, and every app published by NewsBlur.
Analysis in progress, available soon
What do users think recently?
Analysis in progress, available soon
View the full user-sentiment analysis
Mood gauge, ratings & review-volume history, every praise / complaint / request, and sentiment over time.
Analysis in progress, available soon
What is the competitive landscape for NewsBlur?
How's The News Market?
How does it evolve in the News market?
Rank progression
20 active rankings tracked — 30-day window
Strategic analysis coming soon
SWOT, key takeaways & outlook
The outtake for NewsBlur
Key Takeaways
NewsBlur is a feature-rich, community-focused RSS reader that prioritizes user control and content discovery over algorithmic feeds.
Where Is It Heading?
Trend analysis
Available very soon