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

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1. Workflow Overview

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 ...

Best for

Content Creation automation workflows
AI Summarization automation workflows
advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.youtube, n8n-nodes-base.merge, n8n-nodes-base.aggregate, @n8n/n8n-nodes-langchain.lmchatopenrouter, n8n-nodes-base.scheduletrigger, n8n-nodes-base.stickynote, n8n-nodes-base.rssfeedread, n8n-nodes-base.httprequest

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Taiwo Hassan.

Original n8n.io source

1.1 Workflow description

Title: Score daily viral YouTube Shorts ideas using Reddit, RSS, and DeepSeek AI
Workflow name: Score daily viral YouTube Shorts ideas using Reddit, RSS, and DeepSeek AI

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:

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

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

📊 Why This Is Different

Most trend workflows only summarize news.

This workflow:

Learns what your audience likes
Understands your niche and title patterns
Compares trends against past high-performing videos
Produces ideas aligned with your proven content style

🧩 Main Sections

1) Channel Intelligence (Data Store)

Stores:

Channel description and keywords
Past video titles and performance metrics
Send this dataset to AI for pattern extraction.

This data is later used by AI for scoring relevance.

2) Trend Harvesting

30+ RSS feeds
50 Reddit hot posts
Merged into a single trend stream

3) AI Virality Scoring

AI evaluates each trend using:

Channel niche
Title patterns
Audience interest signals
Past performance data

4) Daily Top 3 Selector

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

🤖 AI Role

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

🛠 Requirements

You will need:

OpenAI (or compatible) credentials
RSS feeds of your choice
Reddit node configured
A Data Store node to save channel stats

🎯 Use Cases

YouTube Shorts idea generation
TikTok content planning
Faceless AI video channels
Data-driven content strategy
Creator automation workflows

✅ What You Get

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

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Get a channel

Type / Role: n8n-nodes-base.youTube - youTube
Config choices: Version 1

Block 2 - Get many videos

Type / Role: n8n-nodes-base.youTube - youTube
Config choices: Version 1

Block 3 - Get a video

Type / Role: n8n-nodes-base.youTube - youTube
Config choices: Version 1

Block 4 - Merge

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 5 - Aggregate

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 6 - OpenRouter Chat Model

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 7 - OpenRouter Chat Model1

Type / Role: @n8n/n8n-nodes-langchain.lmChatOpenRouter - lmChatOpenRouter
Config choices: Version 1

Block 8 - Trigger – Daily Trend Scan

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 9 - Trigger – Weekly Intelligence Extraction

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.3

Block 10 - Sticky Note

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 11 - Fetch – News RSS (30)

Type / Role: n8n-nodes-base.rssFeedRead - rssFeedRead
Config choices: Version 1.2

Block 12 - Fetch – Reddit Hot (50)

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.4

Block 13 - Get – Channel Profile

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 14 - Get - Previous Video Stats

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 15 - Get - Previous Video Stats Analysis Report

Type / Role: n8n-nodes-base.dataTable - dataTable
Config choices: Version 1.1

Block 16 - Merge – All Trend Sources

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 17 - Normalize – Channel Profile Objects

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 18 - Aggregate – Previous Video Stats Data

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 19 - Normalize – Previous Video Stats Analysis Report

Type / Role: n8n-nodes-base.set - set
Config choices: Version 3.4

Block 20 - Aggregate – Trends Objects

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 21 - Aggregate – Reddit Objects

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 22 - Aggregate – RSS Objects

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Block 23 - Merge – All Sources Data

Type / Role: n8n-nodes-base.merge - merge
Config choices: Version 3.2

Block 24 - Aggregate – Sources Data

Type / Role: n8n-nodes-base.aggregate - aggregate
Config choices: Version 1

Showing the first 24 of 51 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow	Score daily viral YouTube Shorts ideas using Reddit, RSS, and DeepSeek AI
Complexity	advanced
Nodes	51
Categories	Content Creation, AI Summarization
Author	Taiwo Hassan
Published	23 Apr 2026

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/15253/15253.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Content Creation workflows AI Summarization workflows

Frequently asked questions

What does Score daily viral YouTube Shorts ideas using Reddit, RSS, and DeepSeek AI do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Content Creation, AI Summarization use case.

Taiwo Hassan

4 workflows

Nodes

n8n-nodes-base.youtube n8n-nodes-base.merge n8n-nodes-base.aggregate @n8n/n8n-nodes-langchain.lmchatopenrouter n8n-nodes-base.scheduletrigger n8n-nodes-base.stickynote n8n-nodes-base.rssfeedread n8n-nodes-base.httprequest

Complexity

advanced

Published 23 Apr 2026

Likes 0

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Install path: /data/workflows/15253/15253.json

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

Workflow preview

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

AI Virality Scoring Engine: Channel Intelligence Extraction & Trend Harvesting

🧠 What This Workflow Does

📊 Why This Is Different

🧩 Main Sections

1) Channel Intelligence (Data Store)

2) Trend Harvesting

3) AI Virality Scoring

4) Daily Top 3 Selector

🤖 AI Role

🛠 Requirements

🎯 Use Cases

✅ What You Get

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Get a channel

Block 2 - Get many videos

Block 3 - Get a video

Block 4 - Merge

Block 5 - Aggregate

Block 6 - OpenRouter Chat Model

Block 7 - OpenRouter Chat Model1

Block 8 - Trigger – Daily Trend Scan

Block 9 - Trigger – Weekly Intelligence Extraction

Block 10 - Sticky Note

Block 11 - Fetch – News RSS (30)

Block 12 - Fetch – Reddit Hot (50)

Block 13 - Get – Channel Profile

Block 14 - Get - Previous Video Stats

Block 15 - Get - Previous Video Stats Analysis Report

Block 16 - Merge – All Trend Sources

Block 17 - Normalize – Channel Profile Objects

Block 18 - Aggregate – Previous Video Stats Data

Block 19 - Normalize – Previous Video Stats Analysis Report

Block 20 - Aggregate – Trends Objects

Block 21 - Aggregate – Reddit Objects

Block 22 - Aggregate – RSS Objects

Block 23 - Merge – All Sources Data

Block 24 - Aggregate – Sources Data

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions