Automate Morning Brew-Style Reddit Digests & Publish to DEV with AI

This n8n workflow automates the creation of engaging, Morning Brew-inspired daily digests from any subreddit. It starts by pulling fresh posts via RSS feed, then uses Bright Data to enrich data by scraping upvotes, comment counts, and top comments. Comments are flattened and processed with JMESPath for efficiency, before an AI model (OpenAI or Gemini) generates structured summaries including Top Stories, Quick Hits, Community Q&A, and Comment Spotlight sections.

The output is formatted into clean Markdown and automatically published to DEV Community using their API via HTTP Request. An optional Gmail node sends the digest via email. Ideal for community managers, content marketers, and developers seeking to curate and share subreddit insights effortlessly, saving hours of manual aggregation and writing.

Key benefits include time savings on content curation, consistent professional formatting, and cross-platform distribution. Use cases span marketing teams monitoring niche communities, personal branding on DEV.to, or team newsletters. Requires self-hosted n8n for community nodes; customize by adding subreddits, swapping outputs to Slack, or tweaking AI prompts for brand voice.