Northern Light Aurora Forecast by Letovaltsev Maxim serves as a specialized tool for monitoring auroral activity through real-time data analysis and predictive alerts. The application positions itself in the crowded space of astronomical apps by focusing specifically on northern lights forecasting with integrated weather data, targeting users who require precise timing for aurora viewing opportunities. The application's core functionality revolves around dual forecasting systems: a short-term prediction for the next hour and a long-term forecast spanning three days. These forecasts incorporate multiple data layers including KP index measurements (measuring geomagnetic activity), real-time weather conditions, and moon illumination percentages. The system processes this data to calculate visibility probabilities and push notifications when auroral activity reaches observable thresholds in the user's location. User experience presents both strengths and challenges according to analysis. The interface organizes complex space weather data into digestible visualizations, though some users report difficulties with interactive elements. The graph zoom functionality, while conceptually useful for detailed analysis, suffers from implementation issues where zooming obscures critical axis information. Navigation follows a logical structure with primary screens dedicated to immediate forecasts, detailed KP index breakdowns, and location-based probability calculations. User feedback analysis reveals polarized experiences with notable patterns. Positive reviews from users like 'palapamama' (March 28, 2025) praise the app's comprehensive KP index tracking and forecasting accuracy, while 'Alan and Erica' (March 16, 2025) note confusion regarding data interpretation despite overall satisfaction. Critical feedback from 'LoyalLori' (May 25, 2025) highlights regression issues where location synchronization functionality became non-functional after updates, representing a significant limitation for mobile users. The application demonstrates strongest utility for stationary observers in known aurora zones rather than travelers requiring dynamic location updates. While the forecasting algorithms and data integration represent technical strengths, interface limitations and occasional functionality regressions impact reliability. Optimal use cases involve home-based observation planning with supplemental verification from secondary sources, particularly when making travel decisions based on aurora predictions.