Sunglow: Tanning, Rayz Tracker positions itself as a comprehensive digital assistant for sun exposure management, combining meteorological data with dermatological principles to create personalized tanning regimens. The application distinguishes itself in the health and wellness category by addressing both aesthetic desires for tanning and critical sun safety concerns through data-driven recommendations. The core functionality revolves around its sophisticated algorithm that processes three key inputs: user-provided skin type classification (using Fitzpatrick scale parameters), real-time geolocation data, and live UV index readings from meteorological services. This data synthesis enables the app to generate precise daily exposure recommendations, including duration limits for front and back positioning, mandatory break intervals, and SPF factor guidance. The session timer feature includes automatic alerts for position changes and hydration breaks, while the progress tracker maintains historical data on cumulative exposure times and achieved tanning milestones. User experience demonstrates thoughtful design with an intuitive dashboard displaying current UV index, recommended session duration, and progress metrics. The interface employs color-coded indicators for safe exposure zones and warning thresholds. Real-world usage patterns show peak engagement during morning hours when users typically plan their day's sun exposure, with secondary usage occurring during actual tanning sessions for timer management. The application requires consistent location permissions and internet connectivity for optimal functionality, which may impact usability in remote beach areas with poor signal coverage. With no user reviews available at time of publication, the application's 4.75 rating suggests strong initial reception, though the limited review volume prevents comprehensive analysis of real-world performance across diverse user scenarios and device configurations. The absence of documented user feedback necessitates reliance on technical evaluation rather than experiential data for assessment. The application demonstrates particular strength in its scientific approach to sun exposure management and personalized recommendations, though limitations include dependency on continuous data connectivity and potential variability in UV index accuracy across different meteorological sources. Ideal use cases involve urban dwellers planning weekend sun exposure, vacationers managing beach time, and individuals with fair skin requiring structured sun exposure protocols. The app serves as a valuable tool for those seeking to balance cosmetic tanning goals with dermatological safety principles.