Feed fatigue — AI-curated, interest-focused daily social digests

Many power users—roughly 200 million people who actively follow news, niche communities, and multiple creator feeds—are experiencing attention-economy fatigue, spending hours each week sifting overlapping posts across X, Instagram, Reddit, and newer decentralized networks and losing signal in noise. A measurable subset of those users is already paying to regain time and reduce noise, which is reflected in the $9.6 billion top-line TAM assumption (200M users × $4/mo average subscription × 12 months). You could build an AI-curated, interest-focused daily digest that aggregates cross-platform content (including Bluesky and Mastodon), uses LLMs to produce concise, source-linked summaries, and layers personalization and human-in-the-loop editing for quality and trust. Offer privacy-first options (local summarization, opt-in linking), simple daily email/app delivery, and a $4/mo subscription with tiered upgrades; realistic operational challenges include API access and platform policies, moderation and copyright risk, and controlling model hallucinations. This market is attractive now because LLM summarization has materially improved usability while user willingness to pay for time savings is rising; the opportunity is supported by a market score of 92/100 and revenue potential at 88/100. To stand out you must combine true cross-network aggregation, transparent sourcing and explainable summaries, narrow-interest verticals with small editorial teams to build credibility, and a clear legal/compliance plan—this creates differentiation, but expect nontrivial customer acquisition costs and ongoing retention work.