SPOTTY - Ham Radio Operators Resources - Modern Industry

For amateur radio operators seeking a clutter-free, near real-time visualization of propagation reports, Spotty emerges as a highly efficient web application. By leveraging the robust data of Philip Gladstone’s pskreporter.info combined with the speed of an MQTT broker provided by Tom Fanning (M0LTE), the app delivers a responsive and modern monitoring experience. Visualizing the Airwaves The core experience centers on the Map View. Upon loading, users are greeted with a default visualization (grid AA00 / callsign MY8CALL), but the interface quickly proves its worth once customized. The application uses a clever visual hierarchy to distinguish signal types: - Small spots indicate signals heard by a specific location. - Large spots represent transmissions from a location. - Teardrop markers specifically highlight transmissions from the monitored callsign. This distinction allows operators to instantly differentiate between their own reach and incoming reception. The interactivity is intuitive; clicking a spot reveals an overlay with detailed signal data, which can be dismissed just as easily. Customization and Control Spotty balances simplicity with necessary depth. For those who prefer raw data over geography, the Log View provides a scrolling list of spots. However, the Settings tab is where the utility shines. Users can filter tracking by specific Callsign or Grid, and importantly, these preferences are saved directly to the browser for future sessions. A standout feature is the Time to Live (TTL) setting. While the default is 60 seconds, users can adjust how long a spot remains visible. This is crucial for high-traffic contests or busy bands, allowing the user to prevent the map from becoming overwhelmingly cluttered. Verdict Spotty is a fantastic utility for the digital shack. By combining fast MQTT data delivery with a clean, logic-driven interface, it offers ham radio operators a clear window into where their signals are going—and who is hearing them—in real-time.