Myst News

Analyzes user reading patterns and interests to generate a customized news feed that prioritizes relevant stories. The system learns from user behavior over time to surface content matching individual preferences without relying solely on engagement metrics.

Delivers breaking news and urgent updates to users as they happen, ensuring critical information reaches them immediately rather than hours later through social media. Prioritizes time-sensitive stories based on newsworthiness and user interests.

Allows users to customize how and when they receive news notifications including frequency, timing, urgency levels, and delivery methods. Prevents notification fatigue while ensuring important updates reach users.

Tracks and analyzes user reading behavior including which articles are clicked, how long they're read, which topics are revisited, and engagement patterns. Uses this data to continuously refine content recommendations and feed prioritization.

Aggregates news articles from multiple major news outlets and sources into a unified feed, eliminating the need to visit multiple websites. Deduplicates similar stories and presents different perspectives on the same events.

Attempts to surface diverse viewpoints and opposing perspectives to prevent users from being trapped in echo chambers. Actively includes content that challenges user preferences while remaining relevant to their interests.

Allows users to filter, prioritize, or exclude specific topics, categories, or keywords from their news feed. Enables fine-grained control over what types of stories appear based on user preferences.

Provides complete access to personalized news aggregation and real-time updates without any paywall, premium tiers, or subscription requirements. Ensures equal access to information for all users regardless of ability to pay.

Allows users to explicitly set, modify, and manage their interests, topics, and preferences. Provides interface for users to directly control what their personalization algorithm considers important.

Displays information about news sources including publication name, bias indicators, and source credibility metrics. Helps users understand where stories come from and make informed decisions about source reliability.

Estimates and displays how long it will take to read each article, helping users decide whether they have time to engage with content. Enables users to filter by reading time or prioritize quick reads.