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LA6EIA Ole's DX-blog details shortwave listening (SWL) and amateur radio DX operations from Norway, providing insights into propagation conditions and station reception. The blog frequently features specific reception reports, often including details such as frequency, mode, and signal strength, alongside observations of various broadcast and utility stations. It documents the author's personal experiences in chasing DX, offering a practical perspective on radio propagation and equipment performance. The content includes logs of received stations, sometimes accompanied by audio clips or screenshots of waterfall displays, illustrating successful decodes or strong signal captures. This resource presents a chronological record of DX achievements and challenges, reflecting the dynamic nature of radio propagation across different bands and times. The blog distinguishes itself by its focus on real-world SWL and amateur radio DXing from a Nordic QTH, offering a unique regional perspective on global radio phenomena. It serves as a personal journal of radio exploration, highlighting specific callsigns, frequencies, and operational details encountered during DX sessions.

Hamradio_copilot is an open-source tool designed for DXers and contesters who need real-time situational awareness. It is ideal for operators who want to visualize propagation trends instantly rather than scrolling through raw text streams of cluster spots. Rally acting as a copilot for your station, this tool transforms raw data into actionable intelligence. By visualizing Signal-to-Noise Ratios (SNR) across different bands, it helps operators make quick decisions on which band to prioritize or where to point their antennas, effectively showing not just who is on air, but where the propagation is currently open from your location. This is a fantastic information for avid contesters. The software aggregates data from two primary services: - Reverse Beacon Network (RBN) via Telnet. - PSK Reporter via MQTT feeds. It processes this data to generate a comprehensive HTML report featuring SNR heatmaps and statistical breakdowns by ITU Zone. Users can filter data by specific zones or country codes (ADIF), analyze historic time ranges, and optionally integrate solar weather data. The complete source code is available on GitHub, allowing for community customization. It is written in Python and uses SQLite for data management.