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Hacker News throwback machine - see what was hot on this day, every year!

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2/3/2026
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This is a simple workflow that grabs HackerNews front-page headlines from today's date across every year since 2007 and uses a little AI magic (Google Gemini) to sort 'em into themes, sends a neat Markdown summary on Telegram.

How it works

  1. Runs daily, grabs Hacker News front page for this day across every year since 2007.
  2. Pulls headlines & dates.
  3. Uses Google Gemini to sort headlines into topics & spot trends.
  4. Sends a Markdown summary to Telegram.

Set up steps

  1. Clone the workflow.
  2. Add your Google Gemini API key.
  3. Add your Telegram bot token and chat ID.

Built on Day-01 as part of the #100DaysOfAgenticAi Fork it, tweak it, have fun!

Hacker News Throwback Machine - See What Was Hot on This Day Every Year

This n8n workflow automates the process of fetching historical "What's Hot" articles from Hacker News for a specific date and summarizing them using a Large Language Model (LLM). It then sends these summaries as a message to a Telegram chat.

What it does

  1. Schedules Execution: The workflow is triggered on a recurring schedule (e.g., daily).
  2. Generates Current Date: It calculates the current day and month to query Hacker News for historical data.
  3. Iterates Through Years: For each year from 2007 (the approximate start of Hacker News) up to the current year, it constructs a URL to fetch Hacker News pages for the current day and month.
  4. Fetches Hacker News Pages: It makes HTTP requests to retrieve the HTML content of the Hacker News "front page" for each historical date.
  5. Extracts Article Data: It parses the HTML to extract the titles and URLs of the top articles from each page.
  6. Aggregates Articles: It collects all extracted articles into a single list.
  7. Summarizes with LLM: It uses a Google Gemini Chat Model (via LangChain) to summarize the aggregated list of articles.
  8. Formats Output: It formats the summarized articles into a readable message.
  9. Sends Telegram Message: Finally, it sends the formatted summary to a specified Telegram chat.

Prerequisites/Requirements

  • n8n Instance: A running n8n instance.
  • Telegram Account: A Telegram bot token and a chat ID to send messages to.
  • Google Gemini API Key: An API key for the Google Gemini Chat Model (configured as a credential in n8n).

Setup/Usage

  1. Import the Workflow: Import the provided JSON into your n8n instance.
  2. Configure Credentials:
    • Telegram: Create a Telegram API credential in n8n, providing your bot token.
    • Google Gemini: Create a Google Gemini Chat Model credential in n8n, providing your API key.
  3. Update Telegram Chat ID: In the "Telegram" node (ID: 49), update the "Chat ID" field with the ID of the Telegram chat where you want to receive the summaries.
  4. Activate the Workflow: Enable the workflow. It will automatically run based on the schedule defined in the "Schedule Trigger" node.
  5. Adjust Schedule (Optional): If you want to change how often the workflow runs, modify the "Schedule Trigger" node (ID: 839).

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