Back to ProjectsTelegram Userbot Automation Platform
We developed a platform for Telegram Userbot work — collecting chat data, building user communication, and managing interaction funnels in direct messages as a unified systematic tool.
Client
NDA
Period
3 months
Format
Web platform



About the project
We developed a platform for Telegram Userbot work — collecting chat data, building user communication, and managing interaction funnels in direct messages. Instead of manual dialogue management and fragmented data collection, the goal was a unified service helping teams see users, segment them, and guide them through predefined interaction logic.
The Challenge
We needed a platform automating Telegram audience work through Userbot scenarios — combining in one interface: data collection from chats, user base management, funnel guidance in DMs, and native communication and sales scenarios.
Our Solution
- Designed platform for Telegram Userbot work
- Implemented data collection pipeline from chats and subsequent processing
- Built user base structure for segmentation and further work
- Developed funnel scenarios in direct messages
- Built interface for communication management and scenario control
- Prepared backend for data storage, routing, and Telegram logic
- Built foundation for platform scaling and complex interaction scenarios
Results
- Platform for Telegram audience automation through Userbot scenarios delivered
- Chat data collection and communication moved to systematic format
- Unified tool created for funnel management and contact base work
- Manual load reduced when managing Telegram communication
- Case shows expertise in automation platforms for messenger audience work
Similar projects

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.

Telegram Mini App Security Audit
We conducted a security audit of a Telegram Mini App to verify product resilience against unauthorized access and data leakage — identifying a critical vulnerability in the application logic.

Telegram Channel Sentiment Analysis
A private client approached us with a hypothesis that Telegram channel publications may influence the behavior of some Moscow Exchange market participants. We built an ML module to analyze messages, detect company mentions, and determine publication sentiment.
Let's buildsomething extraordinary.
Ready to start your next project? Reach out and let's discuss how we can help you achieve your goals.