Dropbox node
HTTP Request node
+17

Hacker News to Video Content

Published 20 hours ago

Created by

alexk1919
Alex Kim

Categories

Template description

Hacker News to Video Content

Overview

This workflow converts trending articles from Hacker News into engaging video content. It integrates AI-based tools to analyze, summarize, and generate multimedia content, making it ideal for content creators, educators, and marketers.


Features

  1. Article Retrieval:

    • Pulls trending articles from Hacker News.
    • Limits the number of articles to process (configurable).
  2. Content Analysis:

    • Uses OpenAI's GPT model to:
      • Summarize articles.
      • Assess their relevance to specific topics like automation or AI.
      • Extract key image URLs.
  3. Image and Video Generation:

    • Leonardo.ai: Creates stunning AI-generated images based on extracted prompts.
    • RunwayML: Converts images into high-quality videos.
  4. Structured Content Creation:

    • Parses content into structured formats for easy reuse.
    • Generates newsletter-friendly blurbs and social media-ready captions.
  5. Cloud Integration:

    • Uploads generated assets to:
      • Dropbox
      • Google Drive
      • Microsoft OneDrive
      • MinIO
  6. Social Media Posting (Optional):

    • Supports posting to YouTube, X (Twitter), LinkedIn, and Instagram.

Workflow Steps

1. Trigger

  • Initiated manually via the "Test Workflow" button.

2. Fetch Articles

  • Retrieves articles from Hacker News.
  • Limits the results to avoid processing overload.

3. Content Filtering

  • Evaluates if articles are related to AI/Automation using OpenAI's language model.

4. Image and Video Generation

  • Generates:
    • AI-driven image prompts via Leonardo.ai.
    • Videos using RunwayML.

5. Asset Management

  • Saves the output to cloud storage services or uploads directly to social media platforms.

Prerequisites

  • API Keys:

  • n8n Installation:
    Ensure n8n is installed and configured locally or on a server.

  • Credentials:
    Set up credentials in n8n for all external services used in the workflow.


Customization

  • Replace Hacker News with any other data source node if needed.
  • Configure the "Article Analysis" node for different topics.
  • Adjust the cloud storage services or add custom storage options.

Usage

  1. Import this workflow into your n8n instance.
  2. Configure your API credentials.
  3. Trigger the workflow manually or schedule it as needed.
  4. Check the outputs in your preferred cloud storage or social media platform.

Notes

  • Extend this workflow further by automating social media posting or newsletter integration.
  • For any questions, refer to the official documentation or reach out to the creator.

About the Creator

This workflow was built by AlexK1919, an AI-native workflow automation architect. Check out the overview video for a quick demo.


Tools Used

  • Leonardo.ai
  • RunwayML
  • Creatomate
  • Hacker News API
  • OpenAI GPT

Feel free to adapt and extend this workflow to meet your specific needs! 🎉

Share Template

More AI workflow templates

OpenAI Chat Model node
SerpApi (Google Search) node

AI agent chat

This workflow employs OpenAI's language models and SerpAPI to create a responsive, intelligent conversational agent. It comes equipped with manual chat triggers and memory buffer capabilities to ensure seamless interactions. To use this template, you need to be on n8n version 1.50.0 or later.
n8n-team
n8n Team
HTTP Request node
Merge node
+7

Scrape and summarize webpages with AI

This workflow integrates both web scraping and NLP functionalities. It uses HTML parsing to extract links, HTTP requests to fetch essay content, and AI-based summarization using GPT-4o. It's an excellent example of an end-to-end automated task that is not only efficient but also provides real value by summarizing valuable content. Note that to use this template, you need to be on n8n version 1.50.0 or later.
n8n-team
n8n Team
HTTP Request node
Markdown node
+5

AI agent that can scrape webpages

⚙️🛠️🚀🤖🦾 This template is a PoC of a ReAct AI Agent capable of fetching random pages (not only Wikipedia or Google search results). On the top part there's a manual chat node connected to a LangChain ReAct Agent. The agent has access to a workflow tool for getting page content. The page content extraction starts with converting query parameters into a JSON object. There are 3 pre-defined parameters: url** – an address of the page to fetch method** = full / simplified maxlimit** - maximum length for the final page. For longer pages an error message is returned back to the agent Page content fetching is a multistep process: An HTTP Request mode tries to get the page content. If the page content was successfuly retrieved, a series of post-processing begin: Extract HTML BODY; content Remove all unnecessary tags to recude the page size Further eliminate external URLs and IMG scr values (based on the method query parameter) Remaining HTML is converted to Markdown, thus recuding the page lengh even more while preserving the basic page structure The remaining content is sent back to an Agent if it's not too long (maxlimit = 70000 by default, see CONFIG node). NB: You can isolate the HTTP Request part into a separate workflow. Check the Workflow Tool description, it guides the agent to provide a query string with several parameters instead of a JSON object. Please reach out to Eduard is you need further assistance with you n8n workflows and automations! Note that to use this template, you need to be on n8n version 1.19.4 or later.
eduard
Eduard

Implement complex processes faster with n8n

red icon yellow icon red icon yellow icon