Filter out male photos from social feeds — image-based blocking

Filter out male photos from social feeds — image-based blocking targets a $3.6B = 100M potential paying users x $36 ARPU (annual subscription $3/mo) — global social users opting into paid personalization total addressable market with low saturation and a year-over-year growth rate of 14% estimated category growth for consumer content-moderation tools and personalization services.

Key trends driving demand: Personalized feed control -- users increasingly expect granular filters beyond binary mute/block, creating demand for content-aware filters.; On-device ML -- mobile and browser runtimes allow private, low-latency image inference without cloud uploads.; Creator/platform fatigue -- social platforms are slow to add hyper-personalized UX; third-party extensions fill the gap.; Privacy-first consumer apps -- users prefer local controls over cloud processing for sensitive content filtering..