Discover
Coverage is collected from hundreds of carefully selected publishers across Technology, AI, World, Gadgets, Gaming, Apple, and Crypto.
ClustZ is a story discovery platform built around events, not a stream of duplicate links. It uses AI-powered clustering to connect reporting about the same event, helping readers understand what happened, compare how trusted publishers cover it, and explore broader context without repeatedly encountering the same story.
A major development can produce dozens of headlines within hours. Each report may add a useful detail, but conventional feeds separate those reports into individual items. The result is repetition without a clear view of the event as a whole.
ClustZ changes the unit of discovery from the article to the story. Related coverage is organized into a shared cluster, so readers can identify the event first and choose the sources or perspectives they want to explore next.
Coverage is collected from hundreds of carefully selected publishers across Technology, AI, World, Gadgets, Gaming, Apple, and Crypto.
Machine learning examines the topic, language, entities, and event identity behind each report to find coverage that belongs together.
Related reports become a story cluster. Newer developments and distinct angles remain visible while repetitive coverage is easier to move past.
Readers can scan multiple publisher headlines together, open the original reporting, and follow the story beyond a single source's framing.
Beyond publisher headlines
Publisher reporting remains the foundation of every ClustZ cluster. When relevant public posts are available, ClustZ also brings in matching perspectives from X and Bluesky.
These posts can surface official statements, expert reaction, first-hand observations, and wider public discussion around an event. They supplement the reporting rather than replace it, and appear only when useful matching context is available.
Our mission
ClustZ is building a clearer way to follow the world: one that preserves source choice, reduces repetition, and connects the reporting and public context surrounding each event.
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