This article provides a complete, practical walkthrough of the Linkedin Wait Create Webhook n8n agent. It connects HTTP Request, Webhook across approximately 1 node(s). Expect a Intermediate setup in 15-45 minutes. One‑time purchase: €29.

What This Agent Does

This agent orchestrates a reliable automation between HTTP Request, Webhook, handling triggers, data enrichment, and delivery with guardrails for errors and rate limits.

It streamlines multi‑step processes that would otherwise require manual exports, spreadsheet cleanup, and repeated API requests. By centralizing logic in n8n, it reduces context switching, lowers error rates, and ensures consistent results across teams.

Typical outcomes include faster lead handoffs, automated notifications, accurate data synchronization, and better visibility via execution logs and optional Slack/Email alerts.

How It Works

The workflow uses standard n8n building blocks like Webhook or Schedule triggers, HTTP Request for API calls, and control nodes (IF, Merge, Set) to validate inputs, branch on conditions, and format outputs. Retries and timeouts improve resilience, while credentials keep secrets safe.

Third‑Party Integrations

• HTTP Request
• Webhook

Import and Use in n8n

1. Open n8n and create a new workflow or collection.
2. Choose Import from File or Paste JSON.
3. Paste the JSON below, then click Import.
4. Show n8n JSON

   Title:
   Automating Hacker News to Social Media Videos with AI: A Deep Dive into Alex Kim’s n8n Workflow
   
   Meta Description:
   Discover how Alex Kim transforms Hacker News articles into engaging AI-generated videos ready for social media using a powerful n8n automation workflow powered by OpenAI, RunwayML, Leonardo.ai, and more.
   
   Keywords:
   n8n workflow, automation, AI video generation, Hacker News, OpenAI, RunwayML, Leonardo AI, Creatomate, video automation, AI content creation, newsletter automation, social media posting, GPT-4O, workflow automation, generative AI
   
   Third-party APIs Used:
   
   1. Hacker News API – To fetch the latest articles.
   2. OpenAI API – For natural language processing, summarization, image prompt generation, and AI voiceover (TTS).
   3. Leonardo.ai API – For AI-powered image generation from text prompts.
   4. RunwayML API – For converting AI-generated images to short generative videos.
   5. Creatomate API – For stitching together videos, subtitles, and voiceovers into polished content.
   6. MinIO – For cloud-based object storage (S3-compatible).
   7. Google Drive API – For uploading or updating generated content in Google Drive.
   8. Microsoft OneDrive API – For saving assets to OneDrive.
   9. Dropbox API – For storing completed video files.
   10. YouTube API – To publish final videos directly to a YouTube channel.
   11. Twitter (X) API – For cross-posting the generated videos.
   12. LinkedIn API – For professional social sharing.
   13. Instagram (via HTTP Request Node) – For posting video content.
   
   —
   
   Article:
   
   From Hacker News to Viral Videos: How Alex Kim Automates AI-Powered Content with n8n
   
   In a world inundated with information, transforming raw internet content into digestible, engaging multimedia is both a challenge and an opportunity. Enter Alex Kim (alexk1919), an AI-native workflow automation architect, who has built a cutting-edge no-code pipeline using n8n to automatically convert trending Hacker News articles into compelling, shareable videos—all created and distributed by AI.
   
   Let’s explore how this end-to-end automation workflow works, and the fascinating web of third-party AI tools it leverages to make it all possible.
   
   The Problem: Turning Articles Into Multimedia at Scale
   
   Content professionals, marketers, and solo creators often struggle with keeping up with news, summarizing it, creating visual content, and sharing it across platforms. Doing this daily at scale… manually? Impossible.
   
   Alex’s goal was to make the entire content lifecycle—from information intake to video generation and multi-platform publishing—fully automated and AI-assisted.
   
   The Solution: A Multi-Stage AI-Powered Workflow
   
   Using the powerful n8n automation engine, Alex constructed a workflow that resembles a full-scale media production studio—but with no humans and no video editing required.
   
   Here’s how it works step by step:
   
   1. Fetching Hacker News Articles
   The process kicks off with the Hacker News API. Using the n8n node for Hacker News, the workflow pulls in the latest tech-related stories.
   
   2. Filtering and Summarizing with OpenAI
   Each article’s URL is passed into an OpenAI agent that:
   - Reads the article
   - Determines if it’s related to automation or AI
   - Summarizes it in 250 words
   - Extracts a relevant image URL, if available
   
   Only articles flagged as relevant continue downstream. This ensures you're only spending GPU cycles and bandwidth on impactful topics.
   
   3. Condensing Content for Different Formats
   Another OpenAI node takes the longform summary and:
   - Creates a short article blurb for a newsletter
   - Writes two catchy “summary blurbs” under 15 words each
   - Generates two visual prompts used to guide image creation
   
   This transforms dense information into short-form-friendly fragments useful for video and social posts.
   
   4. Generating Affirmative Imagery with Leonardo.ai
   The two image prompts are sent to Leonardo.ai, a visual-generation model. Images are configured to reflect design rules (like rule of thirds) and aesthetic consistency—no words allowed on the visuals for maximum social compatibility.
   
   5. Creating Generative Videos with RunwayML
   Each image is passed to RunwayML’s Gen-3 Turbo model to create short looping videos based on image context and the original prompt. This is where static ideas come to life.
   
   6. Stitching the Scenes Together with Creatomate
   Creatomate assembles:
   - A branded intro
   - AI voiceovers (OpenAI TTS) synced with text subtitles
   - The generated video clips
   
   The final product is a polished video ready to publish.
   
   7. Storing and Uploading the Asset
   The video can be uploaded automatically to storage destinations, including:
   - MinIO (S3-compatible cloud storage)
   - Dropbox
   - Google Drive
   - Microsoft OneDrive
   
   8. Distribution Across Social Platforms
   The final video is then distributed on major social channels directly through n8n nodes or HTTP endpoints:
   - YouTube
   - Twitter (X)
   - LinkedIn
   - Instagram
   
   Intelligent Design Meets API Creativity
   
   The genius of this workflow lies not only in its clever use of AI tools, but in its modular design. Tasks like article classification, visual generation, audio synthesis, video composition, and distribution all rely on specialized tools, each accessed via API. These services seamlessly communicate through n8n’s visual interface—no deep coding required.
   
   Key Technologies and APIs Involved
   
   - OpenAI for GPT and TTS: Summarization, image prompt creation, voiceovers
   - Leonardo.ai: Generative image creation from short prompts
   - RunwayML: Turn images into high-quality short-form videos
   - Creatomate: Dynamic video generation and editing with template support
   - Cloud Storage: (MinIO, Dropbox, OneDrive, Google Drive)
   - Social Sharing: YouTube, LinkedIn, Twitter (X), and Instagram
   
   Why It Matters
   
   By eliminating the manual friction of turning articles into engaging content, Alex Kim’s workflow empowers creators to become media networks. It reduces tool fragmentation and enables direct-from-source AI-powered multimedia creation.
   
   This workflow is a blueprint for how AI can touch every part of the content value chain—from sourcing and creating to sharing and storing.
   
   Conclusion
   
   In less than 1000 lines of visual logic, Alex has automated what would traditionally require hours of writing, designing, editing, and distributing content.
   
   Whether you’re a solo creator, a news outlet, or a tech startup, this n8n workflow illustrates the power of combining AI with automation. It’s not just workflow automation—it’s media production in the age of AI.
   
   As Alex himself puts it: “I'm building solutions to optimize your personal and professional life”—and with workflows like this, he’s doing exactly that.
   
   —
   
   Want to see it in action? Watch the walkthrough on YouTube: https://youtu.be/XaKybLDUlLk
   
   Learn more about Alex Kim:
   https://beacons.ai/alexk1919

5. Set credentials for each API node (keys, OAuth) in Credentials.
6. Run a test via Execute Workflow. Inspect Run Data, then adjust parameters.
7. Enable the workflow to run on schedule, webhook, or triggers as configured.

Tips: keep secrets in credentials, add retries and timeouts on HTTP nodes, implement error notifications, and paginate large API fetches.

Validation: use IF/Code nodes to sanitize inputs and guard against empty payloads.

Why Automate This with AI Agents

AI‑assisted automations offload repetitive, error‑prone tasks to a predictable workflow. Instead of manual copy‑paste and ad‑hoc scripts, your team gets a governed pipeline with versioned state, auditability, and observable runs.

n8n’s node graph makes data flow transparent while AI‑powered enrichment (classification, extraction, summarization) boosts throughput and consistency. Teams reclaim time, reduce operational costs, and standardize best practices without sacrificing flexibility.

Compared to one‑off integrations, an AI agent is easier to extend: swap APIs, add filters, or bolt on notifications without rewriting everything. You get reliability, control, and a faster path from idea to production.

Best Practices

• Credentials: restrict scopes and rotate tokens regularly.
• Resilience: configure retries, timeouts, and backoff for API nodes.
• Data Quality: validate inputs; normalize fields early to reduce downstream branching.
• Performance: batch records and paginate for large datasets.
• Observability: add failure alerts (Email/Slack) and persistent logs for auditing.
• Security: avoid sensitive data in logs; use environment variables and n8n credentials.

FAQs

Can I swap integrations later? Yes. Replace or add nodes and re‑map fields without rebuilding the whole flow.

How do I monitor failures? Use Execution logs and add notifications on the Error Trigger path.

Does it scale? Use queues, batching, and sub‑workflows to split responsibilities and control load.

Is my data safe? Keep secrets in Credentials, restrict token scopes, and review access logs.