Telegram Channel Analytics Platform
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Telegram Channel Analytics Platform

We developed an analytics platform for Telegram channels as part of a broader ecosystem of Telegram services — comparable in positioning to TGStat and Telemetr, built to collect and process large data volumes and surface them through a convenient analytics interface.

Client

NDA

Period

6 months

Format

Analytics platform

Next.jsGoRustPythonPostgreSQLClickHouse

About the project

We developed an analytics platform for Telegram channels as part of a broader ecosystem of Telegram services. In terms of purpose and market positioning, the project is comparable to TGStat and Telemetr: the platform was built to collect and process large volumes of channel data, publications, and metrics, then surface them through a convenient analytics interface. The main focus was building a high-load service capable of handling large data volumes and high user request throughput.

The Challenge

We needed to build a high-load analytics platform for Telegram channels — not just to display individual metrics, but to create a full-featured product for systematic analytics with channel monitoring, content analysis, dynamics tracking, and Telegram as a data source for research, marketing, and product tasks.

Our Solution

  • Designed analytics platform for Telegram channels as part of a Telegram services ecosystem
  • Built high-load architecture for large data volumes and intensive analytics workload
  • Developed web interface for working with channels, publications, and metrics
  • Built backend pipeline for collecting, processing, and aggregating Telegram data
  • Used specialized technology stack for performant data processing and service logic
  • Laid foundation for platform scaling as data volumes and user scenarios grow

Results

  • Analytics platform for Telegram channel analysis delivered in 6 months
  • High-load service built to handle large data volumes at scale
  • Telegram data packaged into a product format for systematic analytics and monitoring
  • Foundation prepared for further development as part of a Telegram services ecosystem
  • Case demonstrates expertise in complex analytics products, high-load services, and platform development

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