SenseFeed

The platform builds a detailed interest model from reading behavior and explicit preferences, improving its recommendations with every piece of content consumed.

The curation engine draws from a broad range of sources industry publications, research journals, newsletters, blogs, and online media applying quality filters that prioritize depth and substance over clickbait engagement.

Users can follow specific topics, authors, and publications while allowing the AI to discover adjacent content they wouldn't have found through their own search behavior, expanding the edges of their reading without requiring active effort.

SenseFeed is used by knowledge workers who take their ongoing learning seriously professionals who want to stay current in their field, intellectually curious individuals who read broadly across disciplines, and researchers who need to monitor a domain of knowledge without reading everything published in it.

Its personalization quality and source breadth make it a practical tool for maintaining a high-signal reading practice in a content environment characterized by overwhelming volume and unreliable quality.