🎬 Score daily viral YouTube Shorts ideas using Reddit, RSS, and DeepSeek AI

⚑ 869 views · 🎬 Content Creation & Video

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Description

AI Virality Scoring Engine: Channel Intelligence Extraction & Trend Harvesting

This workflow demonstrates how to combine trend harvesting, channel intelligence, and AI scoring to select the best daily content ideas for short-form videos (YouTube Shorts / TikTok).

It is designed for creators who want data-driven content ideas instead of guessing what to post.


🧠 What This Workflow Does

Every day, the workflow:

  1. Collects trending topics from multiple RSS news feeds and Reddit hot posts
  2. Merges and cleans the trend data
  3. Loads stored YouTube channel profile and past video performance stats
  4. Uses AI to score each trend against what historically performs best on the channel
  5. Selects the Top 3 video ideas with the highest viral potential
  6. Outputs structured ideas ready to be turned into short videos

This is not a simple RSS β†’ AI workflow.
The AI makes decisions based on your channel’s historical performance patterns.


πŸ“Š Why This Is Different

Most trend workflows only summarize news.

This workflow:


🧩 Main Sections

1) Channel Intelligence (Data Store)

Stores:

This data is later used by AI for scoring relevance.

2) Trend Harvesting

3) AI Virality Scoring

AI evaluates each trend using:

4) Daily Top 3 Selector

Returns the three best content ideas for short-form video creation.


πŸ€– AI Role

The AI does not summarize content.
It acts as a content strategist trained on your channel history.


πŸ›  Requirements

You will need:


🎯 Use Cases


βœ… What You Get

A repeatable system that turns daily internet trends into channel-specific viral video ideas.

πŸ”— Nodes Used

HTTP Request, RSS Read, Telegram, YouTube, Schedule Trigger, AI Agent

πŸ“₯ Import

Download workflow.json and import into n8n: Workflow menu β†’ Import from File

πŸ“– Importing guide Β· πŸ”‘ Credential setup