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Automation consultants waste time manually checking forums and Reddit threads every morning just to stay current. This AI automation scrapes, summarises, and delivers the most relevant n8n community discussions straight to Telegram on a schedule.
What This Automation Does
- Scrapes the latest posts, threads, and comments from the n8n Community forum and Reddit automatically on a daily schedule
- Classifies incoming Telegram messages by intent so users can request a quick summary, a deep-dive into a specific thread, or casual Q&A
- Uses Gemini and Groq to extract signal from raw HTML and return clean, readable summaries without requiring any manual browsing
- Chunks and delivers AI-generated responses into Telegram messages that respect character limits and maintain full conversational context
Tools Used
- Telegram
- Google Gemini
- Groq
- MongoDB Chat Memory
- n8n
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Join Contra Free →How To Build It
Wire Telegram bot to receive user messages
A Telegram bot is configured as the input channel so that any message sent by the client triggers the workflow and passes the raw text forward for intent classification.
Classify message intent with an AI agent
Google Gemini evaluates the incoming message and assigns it one of three intent categories: Search, Deep-dive, or Casual Chat, so the right downstream logic is triggered for each request type.
Fetch live threads from community sources
HTTP requests pull the latest posts and comment threads from the n8n Community forum and the r/n8n subreddit in real time, returning raw HTML that is passed to the extraction layer.
Extract and summarise forum content with Groq
Groq processes the raw HTML, strips irrelevant markup, and returns either a concise topline summary or a full contextual breakdown of a specific thread depending on the classified intent.
Chunk and deliver the digest via Telegram
The AI response is split into properly sized message chunks that stay within Telegram's character limits, then sent sequentially to the user's chat with formatting intact and chat memory preserved for follow-up questions.
Pitfalls
- Reddit and the n8n Community forum both throttle unauthenticated HTTP requests, so scrapers hitting the endpoints too frequently will return rate-limit errors or empty payloads during peak hours.
- MongoDB Chat Memory sessions can grow stale if a client's conversation ID changes between sessions, causing the AI agent to lose context and produce generic rather than personalised responses.
- Google Gemini and Groq API keys each have independent quota ceilings, and a single heavy daily run can exhaust one provider's limit mid-execution, leaving the digest partially generated with no fallback unless a retry path is built explicitly.
FAQ
Can I build this without coding?
Yes. The workflow is low-code throughout and relies on HTTP requests and pre-built AI agent logic rather than any custom scripts. The main configuration work is connecting API credentials and adjusting the scheduling trigger to match a client's preferred delivery time.
How long does it take?
A working version can be set up in three to five hours for someone already familiar with connecting Telegram bots and API keys. Adding polish like error handling and message formatting for a client-ready build typically adds another two to three hours.
What can I charge?
This is best positioned as a retainer service rather than a one-off build, since the value is the ongoing daily digest rather than the initial setup. Framing it as a community intelligence briefing for busy n8n consultants or agency owners justifies recurring pricing.
Which tool is required vs optional?
Telegram and at least one AI provider (either Google Gemini or Groq) are required for the workflow to function. MongoDB Chat Memory is optional but strongly recommended if your client wants follow-up questions to retain context across a conversation.
This is original DigiNo analysis. The underlying automation pattern is a community workflow template – view the original on n8n.
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