SocialAut positions itself as a utility application for social media management, specifically addressing the tedious process of manually removing shared content and managing followers across multiple platforms. Developed by Felipe Avila Parra, the app currently focuses on bulk video deletion while promising expanded functionality for Facebook, TikTok, and Instagram in future updates. The core functionality revolves around automated content removal, with the current version enabling users to delete shared videos en masse rather than individually. The upcoming features suggest broader automation capabilities, including mass post deletion on Facebook and reciprocal follower management on TikTok and Instagram. These features operate through social media API integrations, though the specific technical implementation remains undocumented in the app's public description. User experience appears inconsistent based on available feedback, with some reporting successful operations while others encounter authentication issues. The interface requires social media platform credentials, raising questions about data security practices. Real-world usage patterns suggest the app functions primarily through ad-supported access, with paid options potentially causing functionality concerns according to user reports. User feedback reveals mixed experiences with technical implementation. User fortnitequeenduh30 (March 8, 2025) notes functionality through ad-supported access while expressing skepticism about paid features. Nobody.youknow (March 4, 2025) confirms successful repost deletion, while Leigha21222 (August 9, 2025) reports effective but delayed content removal. Multiple users including jaybeballhogging (August 4, 2025) and unknown Alayna (August 3, 2025) describe authentication problems and technical glitches during login attempts. The application demonstrates potential value for users seeking bulk social media management tools, though technical reliability concerns and authentication issues present significant limitations. The 1.79 rating reflects these operational challenges. Ideal use cases involve users with substantial content archives willing to tolerate potential technical inconsistencies in exchange for automated bulk operations.