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Telegram to Notion AI Knowledge Curation ETL Pipeline

Content curation pipeline extracting links and media from Telegram, generating AI summaries with key takeaways, and persisting structured entries in Notion.

THE PROJECT / FOLLOW THE THREAD

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01 / WHY THIS WORK EXISTS

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Content curation pipeline extracting links and media from Telegram, generating AI summaries with key takeaways, and persisting structured entries in Notion.

ProjectTelegram to Notion AI Knowledge Curation ETL Pipeline
Available evidence2 linked files
ExploreImplementation & documentation
02 / THE CHOICES & CONNECTIONS

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  1. 01

    Parsed Telegram message entities to extract URLs, video links, and text notes.

  2. 02

    Fetched webpage OpenGraph metadata and generated concise executive summaries via OpenAI.

  3. 03

    Structured properties (Tags, Category, Summary, URL) and inserted entries into Notion database.

DOCUMENTED WORKFLOW
  1. 01Telegram link
  2. 02Extract content
  3. 03AI summary
  4. 04Notion record
n8nTelegram APINotion APIOpenAIWeb ScrapingETLPostgreSQLNotion
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04 / THE WORK BEHIND THE CLAIM

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2 linked source files

DOCREADME.mdJSONworkflow.json
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LATEST FROM GITHUB

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Content curation pipeline extracting links and media from Telegram, generating AI summaries with key takeaways, and persisting structured entries in Notion.

Current README excerpt

Category: Productivity & Content ETL Pipelines Extracts links, videos, and research papers from Telegram messages, enriches them with AI summaries, and populates a Notion database.

A source excerpt, not an independently verified outcome.

A different question.
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