Is this official n8n data?

The index is built from publicly available data on n8n's template library, including view counts, node counts, and npm download trends. It is not affiliated with or endorsed by n8n GmbH.

How is the Demand Score calculated?

Demand Score is a composite signal combining template view velocity, npm package trend data, and category growth rate. It's updated weekly. Members get the full scoring methodology in the weekly intelligence report.

What's actually in the weekly intelligence report?

Each report covers the top-moving use cases from the previous 7 days, ranked by demand signal strength. It includes Build vs Skip recommendations, strategic ratings per category, and a summary of which automation niches are gaining or losing momentum.

What does the free tier include?

Free gives you template counts, node data, use case distribution, npm raw download figures, complexity breakdown, and community access. You also get a summary version of the weekly signals post.

Can I cancel anytime?

Yes. Paid is month-to-month. Cancel anytime from your account settings. No questions asked.

I'm not an n8n power user — is this for me?

If you build, sell, or recommend automations for clients — yes. The index tells you which automations the market actually wants before you spend time building the wrong thing.

What is the Strategic Rating and how is it different from Demand Score?

Demand Score measures market signal strength. Strategic Rating goes further: it assesses build worthiness by factoring in competition density, complexity cost, and demand sustainability.

How often is the data updated?

The index runs a full crawl of n8n's public template library every week, refreshing view counts, node data, npm download trends, and use case classifications.

AI Enrichment n8n Templates

Enrich records with AI-generated summaries, classifications, or embeddings.

633

Templates

100%

Use AI nodes

Avg node count

Simple (1–5 nodes)

299

Intermediate (6–15)

313

Advanced (16+)

AI enrichment workflows use language models, embedding pipelines, and classification APIs to add structured intelligence to raw records. Templates in this category take unstructured input — a support ticket, a product review, a contact record, a scraped web page — and return summaries, sentiment scores, category labels, embeddings for vector search, or generated fields that would otherwise require manual review. Simple workflows call a single AI model and write the output back to one field; intermediate builds chain multiple models or add conditional branching based on classification output; advanced workflows orchestrate multi-step enrichment pipelines with fallback logic, cost controls, and output validation. AI adoption is by definition 100% in this category. Demand Score reflects builder engagement — high-view templates signal enrichment patterns that are widely applicable across industries. Because AI enrichment is one of the fastest-moving areas in automation, Demand Score velocity is particularly meaningful. Paid members access ranked demand intelligence showing which enrichment patterns are gaining adoption fastest.

Showing 451–500 of 633 templates, ordered by views

AI Enrichment

Process OCR documents from Google Drive into searchable knowledge base with OpenAI & Pinecone

How it works This workflow automates a full RAG ingestion pipeline. When a new OCR JSON file is added to a Google Drive folder, the workflow…