๐Ÿ”ฅ๐Ÿ“ˆ๐Ÿค– AI Agent for n8n Creators Leaderboard - Find Popular Workflows

For n8n, this workflow automates the retrieval and analysis of community creator and workflow statistics, generating a detailed Markdown report. It identifies the top 25 creators and 300 workflows based on unique weekly and monthly visitors and inserters. By filtering data based on a specified username, it provides tailored insights into individual contributions, showcasing their impact on the community. The final report is saved locally, making it easy to access and review valuable performance metrics and trends.

7/4/2025
43 nodes
Complex
manualcomplexaggregatefilterlangchainexecuteworkflowtriggerconverttofilereadwritefilesticky notesplitoutadvancedapiintegrationfilesstorage
Categories:
Business Process AutomationManual TriggeredComplex Workflow
Integrations:
AggregateFilterLangChainExecuteWorkflowTriggerConvertToFileReadWriteFileSticky NoteSplitOut

Target Audience

This workflow is designed for:
- n8n Creators: Individuals who create and share workflows on the n8n platform, looking to analyze their performance and impact.
- Community Managers: Those responsible for overseeing the n8n community, aiming to recognize top contributors and trends.
- Data Analysts: Users interested in gathering insights from the n8n community data to inform decisions and strategies.
- New Users: Individuals new to n8n seeking to explore popular workflows and understand community dynamics.

Problem Solved

This workflow addresses the challenge of understanding the performance and impact of n8n creators and their workflows. By aggregating and analyzing data from the n8n community, it provides:
- Insights into Popular Workflows: Identify which workflows are most frequently visited and used.
- Recognition of Top Contributors: Highlight creators who have made significant contributions to the community.
- Data-Driven Decisions: Enable creators and community managers to make informed decisions based on detailed statistics and trends.

Workflow Steps

  • Triggering the Workflow: The workflow can be manually triggered or initiated via a chat message, specifying the username of the creator.
    2. Data Retrieval: It fetches JSON data from GitHub repositories containing aggregated statistics for both creators and workflows.
    3. Data Parsing: The retrieved data is parsed to extract relevant information into arrays for further processing.
    4. Sorting and Limiting: The workflow sorts creators and workflows based on metrics like unique weekly inserts and limits the results to the top 25 creators and 300 workflows.
    5. Merging Data: Creator and workflow data are merged based on usernames to enrich the dataset with combined statistics.
    6. Filtering by Username: A filter is applied to focus on the specified creator, allowing detailed analysis of their workflows.
    7. Report Generation: An AI agent generates a comprehensive Markdown report summarizing the creator's contributions, including a well-formatted table of their workflows and key metrics.
    8. Saving the Report: The final report is saved as a Markdown file locally, timestamped for easy retrieval.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying Input Parameters: Adjust the username input in the chat trigger to analyze different creators.
    - Changing Data Sources: Update the GitHub URLs in the Global Variables node to point to different repositories if needed.
    - Altering Report Format: Customize the Markdown report structure and content by editing the AI agent's prompt to include specific insights or metrics.
    - Adjusting Sorting Criteria: Users can modify the sorting parameters in the sorting nodes to prioritize different metrics, such as monthly inserts instead of weekly.
    - Adding Additional Nodes: Enhance the workflow by integrating more nodes for further data processing or analysis as needed.