Templates / Publish multi-angle LinkedIn and Instagram carousels with Gemini and PostNitro

Publish multi-angle LinkedIn and Instagram carousels with Gemini and PostNitro

Unknown

by Muneeb Awan ✓ · 4 views · created 2026-08-04 · Social Media, Multimodal AI

Unknown. This template uses community nodes we can't verify statically. Uses community nodes that can't be verified statically (unverified community packages are off by default in 3.0). Static check, last run 2026-10-19.

What this workflow does

This AI workflow has 12 nodes and runs on RSS Feed events. Along the way it connects Google Gemini Chat Model, Gmail and Postnitro Ai (community).

How it runs

Trigger: On RSS Feed events.

  1. Content Generation Agent (AI Agent): runs an AI agent, with model: Google Gemini Model; output parser: Parse Structured Content
  2. Split Content Angles (Split Out): splits a list into separate items
  3. Limit: keeps the first few items
  4. Generate AI-Enhanced Post (Post Nitro): ai from article
  5. Schedule LinkedIn Post (Post Nitro): work with scheduled post
  6. Schedule Instagram Post (Post Nitro): work with scheduled post
  7. Send Article Summary Email (Gmail): uses Gmail
  8. Combine Posts Results (Merge): merges the data from its input branches
  9. Send Combined Summary Email (Gmail): uses Gmail

Services it uses

Google Gemini Chat ModelGmailPostnitro Ai (community)

Before you upgrade to n8n 3.0

We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).

  • Check that @postnitro/n8n-nodes-postnitro-ai is verified or supports 3.0 (used in Generate AI-Enhanced Post, Schedule Instagram Post, Schedule LinkedIn Post).

Nodes used (9)

From the author

Quick overview This workflow polls the TechCrunch RSS feed for new articles, uses Google Gemini to generate three LinkedIn content angles, then uses PostNitro to create a carousel design and schedule draft posts for LinkedIn and Instagram, sending Gmail…

Excerpt from Muneeb Awan's description on n8n.io.

View the original on n8n.io → Check your own copy

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