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Damiano Taverni
IT
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Sector: Marketing automation · Service for Telegram publishers

Automatic content distribution across Telegram channels

24/7 Python bot that automatically replicates content across Telegram channels: a service for channel founders who run multiple properties and want to publish once, everywhere.

Hundreds
Channels
Thousands
Posts/day
0
Manual work

Bot architecture: source channels, forwarding engine on a Raspberry Pi, destination channels

Context

Anyone running multiple Telegram channels — a themed network, different language editions, mirror channels — faces the same repetitive job every day: manually republishing the same content on every channel. That’s time taken away from the part that creates value: producing content and growing the audience.

This bot was born as a service for channel founders: publish once on the source channel, and the content automatically reaches every configured destination channel. Today the service runs 24/7 for dozens of clients, distributing thousands of posts a day across hundreds of channels.

What it does

  • Listens to source channels in real time via the Telegram API and replicates every new piece of content — text, media, formatting — to the destination channels, within seconds and with no human intervention.
  • Multi-channel configuration: source → destination pairs are added and removed without touching the code, with a refresh command that hot-reloads the bot.
  • Administration through Telegram itself: owner-only commands to restart the bot, update the configuration and check its status — no server access needed for day-to-day management.
  • Runs 24/7 on low-power hardware (Raspberry Pi) as a system service with automatic restart: if the process dies or the connection drops, it comes back on its own.

Technical challenges

Reliability without supervision. A content distribution service fails in the worst possible way when it fails silently: systemd supervision, structured logging of every forward and remote diagnostic commands are what guarantees every message arrives — and that if something breaks, you know right away.

The lifecycle of channels. Channels change: new ones get added, others are retired, and Telegram’s internal identifiers have to be reconciled with the client’s session cache. Explicit management of that cache is what separates a bot that works in a demo from one that works for months.

Stack

Python · Pyrogram (Telegram API) · Raspberry Pi · systemd · structured logging

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