This n8n workflow automates the process of retrieving, analyzing, and reporting on the top contributors and workflows within the n8n community. It pulls data from JSON files stored on GitHub, processes and merges creator and workflow statistics, filters for specific users, and uses an AI language model to generate comprehensive Markdown reports. The entire process is triggered via chat commands or external workflow triggers, making it a powerful tool for community management and individual creator analysis.
The workflow begins by setting global variables with the base URL and filename references for data sources. It then performs HTTP requests to fetch JSON data on creators and workflows, parsing the data into manageable arrays. It sorts and limits the datasets to highlight top contributors and top-performing workflows based on weekly and monthly metrics.
Data from creators and workflows is merged on the username to provide a unified view of each creator’s impact. Users can filter the results to focus on specific creators, such as “joe,” enabling targeted analysis. An AI-powered node then generates a detailed Markdown report summarizing creators’ contributions, top workflows, trends, and insights, which is saved locally with timestamps for easy reference.
Practically, this workflow helps community managers identify influential creators, trending workflows, and engagement patterns. Creators can use it to monitor their performance metrics, while community admins can recognize top contributors, fostering collaboration and growth. Its automation simplifies data analysis, saves time, and enhances community insights without manual effort.
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