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Case Study • Automation

n8n Automations Suite

Messaging & Intelligence at Scale | Telegram, WhatsApp, GPT

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Project Overview

A massive n8n automation layer that ingests messages from Telegram and WhatsApp, classifies them with GPT, and syncs them to Firebase for analytics.

The Product Story

This is your backend 'automation nervous system'. It connects to user accounts, ingests messages, passes them through GPT classifiers, and stores them structurally.

From there, everything becomes possible: alerting, dashboards, enrichment, AI search.

Key Capabilities

  • Connects to Telegram/WhatsApp user accounts
  • Ingests and classifies messages via GPT
  • Extracts metadata (Title, Source, Intent, Keywords)
  • Deduplicates and stores in Firebase

The Challenge

Capturing historical messages reliably and handling large GPT workloads without duplicates.

  • Reliable historical message capture
  • Avoiding duplicates across runs
  • Handling hundreds of thousands of items
  • Managing GPT rate limits and costs

Solution Delivered

Architecture

  • Dockerized n8n instance
  • Node.js scripts for specialized client behaviors
  • Efficient batching for GPT processing
  • Firebase integration

Key Features

  • Telegram user client for full scraping
  • GPT-based title and label generation
  • De-duplication logic (IDs, timestamps, hashes)
  • Extensible design for new channels

Results & KPIs

✓ 97%+ of message processing fully automated
✓ Unified dataset for analytics
✓ Stable, maintainable workflows
#n8n automation expert#Telegram data pipeline#WhatsApp GPT workflow#Firebase automation#Dockerized n8n setup

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Selected work

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97%+ of message processing fully automated

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