Recovering lost context in news - personalized catch-up timelines

Recovering lost context in news - personalized catch-up timelines targets a $6.0B = 100M prosumers x $60/yr average subscription total addressable market with medium saturation and a year-over-year growth rate of 15%.

Key trends driving demand: AI cross-document synthesis -- enables automated timelines and context stitching across many articles.; Attention fragmentation -- users split reading across apps and need condensed catch-ups to stay informed.; Prosumers paying for productivity -- power readers will pay for tools that save daily time and reduce cognitive load.; RSS and personal libraries revival -- users increasingly keep personal archives and highlights that can be leveraged to personalize catch-ups..