Digg relaunches as AI news aggregator, tracking X engagement in real time

Digg has relaunched yet again, pivoting from its short-lived Reddit clone to an AI-focused news aggregator. The reboot, led by original founder Kevin Rose, now ingests real-time data from X (formerly Twitter) to surface the most influential AI stories. Rather than relying on its own user engagement, Digg tracks views, comments, likes, and saves on X, applying sentiment analysis and clustering to determine what matters most. The homepage features four key stories: the most viewed, the fastest-climbing, a rising discussion item, and an "in case you missed it" headline. Below that, a ranked list of top stories includes engagement metrics pulled directly from X. Digg also compiles leaderboards of the top 1,000 AI personalities, companies, and politicians, offering a data-rich view of who drives the conversation.

Despite the clever approach, the site is still raw and buggy according to Rose, and currently lacks any built-in discussion — all conversation happens on X. This makes Digg feel more like a dashboard than a community. The AI focus makes strategic sense, as AI discourse remains heavily concentrated on X, but expanding to other topics may prove difficult as many discussions have moved to Threads or private groups. For now, Digg offers a useful signal-vs-noise tool for professionals who want to quickly catch up on AI news without scrolling X. If it gains traction, it could also help publishers regain referral traffic lost to Google's AI Overviews and algorithmic changes.