We use research to think through the actual problems Trace is solving: too many sources, too little context, AI summaries without grounding, and the messy reality of staying current without drowning in feeds.
Why staying current gets harder when the same story is scattered across too many places.
Why multi-source context beats one-link reading when the story is moving fast.
Why summaries help only when they preserve enough depth, comparison, and source grounding.
The problem with modern tech news is not access. It is fragmentation. Research on attention and overload helps explain why grouped topics and cleaner signal layers work better.
Information overload keeps rising in digital environments. The answer is not more links. It is better curation, tighter feedback loops, and stronger source selection.
AI summaries can compress information fast, but without source diversity and context they create confusion. This is why Trace starts from grouped stories, not one isolated take.
Products that respect attention are easier to trust and easier to keep using. In news, that means grouped topics, calmer interfaces, and fewer low-signal interruptions.