Users cannot filter low-quality or unwanted content from feeds

Across social platforms, news aggregators, and the open web, users are inundated with low-quality AI-generated slop, buzzword-heavy marketing pages, irrelevant trending topics, and spam from new accounts, with no granular tools to suppress it. The pain is felt by power users on HN, developers on GitHub, students in schools, and everyday social media users who want signal without noise. Current platform controls are binary and blunt—upvote/downvote, mute, or block—with no domain-level filtering, account-age thresholds, topic suppression, or content-type toggles. Schools face the added challenge that keyword-based blockers can't distinguish harmful content from legitimate educational material. The result is that users either tolerate the noise or abandon platforms entirely, while a market exists for client-side and third-party curation layers.