One of the biggest criticisms of personalized feeds is the "filter bubble"—the idea that algorithms only show you what you already agree with, reinforcing your biases. While this is a valid concern, we believe that AI, when used thoughtfully, can actually be a powerful tool for breaking out of these bubbles.

Our AI topic suggestion engine is designed to do just that. As it analyzes your reading history, it doesn't just look for more of the same. It identifies adjacent and related concepts that you might find interesting. If you read about electric vehicles, it might suggest articles on battery technology, renewable energy policy, or urban planning.

The goal is to facilitate discovery. We want to take you beyond the obvious headlines and introduce you to the niche topics and hidden stories that provide a richer, more nuanced understanding of the world. This is not about challenging your worldview aggressively, but about gently expanding it by showing you the interconnectedness of different fields and ideas.