This work presents the design and implementation of a system for monitoring technological trends in the military sector using Telegram as a data source. The system automatically collects, processes, and analyzes both historical and real-time posts from selected Telegram channels, focusing on the emergence and dissemination of key terminology such as "реб" (eng.: "electronic warfare") in our evaluation case study. A modular architecture was developed, combining Go-based data scraping, Python-based aggregation and keyword analysis, and a Grafana dashboard for visualization. The system supports both local Docker-based deployment and cloud-based deployment via Terraform on AWS. Evaluation included performance benchmarks, peak resident-set size (RSS) profiling, and a case study comparing our system’s findings against professional media and Google Trends. Results indicate that a Telegram-based pipeline can detect rising interest in electronic-warfare topics earlier than traditional information channels.