<<ABORT_PROCESS

Tool - Fetch Lenny's Newsletter (Simple)

This workflow is designed to be an AI Tech News Aggregator. It functions as a tool for an AI Agent to fetch, clean, and summarize recent headlines from specific technology RSS feeds (like Lenny's Newsletter, TLDR Tech, etc.)

Loading workflow visualizer...

AI Insights

LEGACY VIEW

This workflow acts as a news curator for AI agents, pulling fresh content from Lenny's Newsletter, Latent Space, Ben's Bites, and more—then intelligently filtering and ranking it.

🚀 Use Cases

  • •Daily digest generation for AI-powered newsletters or Slack bots
  • •Content research tool for trend analysis and competitive intelligence
  • •Feed monitoring system for automated blog curation or social media posts

⚡ Technical Highlights

Parallel feed processing via splitInBatches for faster execution across multiple sourcesRobust error handling with onError:continueRegularOutput ensures partial results on feed failuresComplex deduplication logic in Code node uses URL hashing and date parsing with fallback defaultsMetadata enrichment adds source labels to every article for downstream attribution

📋 Configuration Guide

Prerequisites:
  • n8n instance with RSS Feed Read node available
  • AI agent or manual trigger configured to call executeWorkflowTrigger
  • Basic understanding of JSON response handling
Steps:
  1. Step 1: Define RSS feed URLs in the Code node (default includes 7 tech/AI sources)
  2. Step 2: Workflow splits feeds, fetches each via RSS Feed Read with retry logic
  3. Step 3: Articles are aggregated, deduplicated by URL, and filtered to last 7 days
  4. Step 4: Top 20 articles sorted by date are returned as JSON with source metadata
  5. Step 5: Integrate response into your AI agent or downstream workflow
Pro Tips:
  • Edit the RSS Feed Source List Code node to add/remove feeds—no other changes needed
  • Failed feeds are silently skipped (maxTries:2); check logs if sources seem missing
  • Adjust the 7-day filter or 20-item limit in Format, Dedupe & Filter node for broader/narrower results