Automated mass-blocking of users who liked an egregious post (privacy-first)

Automated mass-blocking of users who liked an egregious post (privacy-first) targets a $2.4B = 6M community moderators & power users x $400 ARPU/year total addressable market with medium saturation and a year-over-year growth rate of 15-25% driven by platform fragmentation and moderation tool adoption.

Key trends driving demand: Platform fragmentation -- more niche/federated networks mean users need cross-platform moderation tools.; Privacy regulation & user expectations -- users prefer client-side or privacy-first moderation to avoid third-party scraping.; On-device ML -- lightweight classifiers enable automated content risk scoring without cloud processing.; Moderator burnout -- rising demand for tooling to automate repetitive safety actions (blocking, muting)..