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Description
Private, local-first dating with on-device learning, reciprocal matching, end-to-end encrypted chat, and private discovery. Yamora is a private, local-first dating experience designed around genuine connections, personal control, and on-device intelligence. Unlike traditional dating platforms that depend on centralized profile databases and opaque recommendation systems, Yamora keeps sensitive personal learning local whenever possible and uses privacy-conscious peer discovery to connect real users. Yamora learns from your own preferences and interactions to improve recommendations over time. Interested and Pass decisions help build a personal attraction model, while genuine connection outcomes can improve compatibility ranking without overriding your explicit dating preferences. Key features include: • Private, local-first dating profile and preference management • Real peer discovery with no fake or demo dating profiles • Personalized on-device attraction and compatibility learning • Reciprocal compatibility ranking designed to consider both sides of a potential match • End-to-end encrypted peer communication • Full profile photo browsing and full-screen photo viewing • Mutual matches, private messaging, and explicit Unmatch controls • Local behavioral-interest evolution that can adapt as your interests change • Privacy-aware location discovery using coarse geographic information rather than exposing exact coordinates • Optional profile verification support • Local safety analysis for potentially risky conversations • Encrypted backup and recovery tools • Explicit opt-in for contributing privacy-bounded, derived learning data Yamora does not require users to pay for better ranking, increased visibility, matching advantages, or access to core dating functionality. Sensitive information such as raw browsing history, exact location, private local AI vectors, personal messages, and original profile photos is not used as a centralized dating-profile database. Yamora is currently in beta and is being developed toward a privacy-first alternative to conventional centralized dating applications.