Northern Lights Tracker° positions itself as a specialized meteorological tool for aurora borealis enthusiasts, offering location-based forecasting that distinguishes it from general weather applications. The application serves a niche market of skywatchers seeking precise data for planning northern lights observations, particularly valuable in regions with frequent auroral activity. The application's core functionality revolves around three primary data streams: real-time KP index measurements indicating geomagnetic activity levels, cloud cover percentage forecasts, and visibility conditions specific to aurora viewing. These metrics combine to generate location-specific probability scores for aurora visibility. The app incorporates push notification alerts that trigger when optimal viewing conditions develop within a user's specified radius, with customizable sensitivity thresholds ranging from 25 to 200 kilometers. User experience demonstrates thoughtful design with an intuitive map interface displaying color-coded probability zones and cloud coverage overlays. The interface prioritizes clarity with minimalistic design elements, though some users report initial difficulty interpreting the probability scoring system. Real-world usage patterns indicate peak engagement during geomagnetic storms and winter months, with photographers particularly valuing the 30-minute advance notice feature for setting up equipment. With no user reviews available at publication, assessment relies on technical evaluation and comparable application benchmarks. The absence of user feedback presents limitations in evaluating real-world reliability and accuracy across diverse geographical locations and weather conditions. The application demonstrates notable strengths in specialized data aggregation and alert customization, though limitations include dependency on external data sources and potential coverage gaps in remote regions. Ideal use cases involve planned aurora viewing expeditions where advance notice and location-specific data significantly impact success rates, while casual users might find the specialized focus overly technical for occasional use.