Feature Type
Problem Statement
There is no structured way for users to understand or showcase their collaboration patterns on GitHub. Insights such as frequent collaborators, review interactions, or co-authorship are valuable but currently hidden within raw data, making them difficult to interpret.
Proposed Solution
Create a Collaborator Statistics Card that aggregates interaction data from GitHub APIs (PR reviews, comments, commits). The system should rank collaborators based on interaction frequency and display them in a visually intuitive format with relevant metrics.
Example / Mockup
Top collaborators list with avatars
Interaction metrics display
Alternative Solutions
Manual tracking (not scalable)
Additional Context
Impact: Highlights collaboration and teamwork
Affected Components: GitHub API processing, ranking logic, card rendering
Estimated Effort: Hard (requires complex data aggregation, ranking algorithms, and API handling)
Related Issues
N/A
Feature Type
Problem Statement
There is no structured way for users to understand or showcase their collaboration patterns on GitHub. Insights such as frequent collaborators, review interactions, or co-authorship are valuable but currently hidden within raw data, making them difficult to interpret.
Proposed Solution
Create a Collaborator Statistics Card that aggregates interaction data from GitHub APIs (PR reviews, comments, commits). The system should rank collaborators based on interaction frequency and display them in a visually intuitive format with relevant metrics.
Example / Mockup
Top collaborators list with avatars
Interaction metrics display
Alternative Solutions
Manual tracking (not scalable)
Additional Context
Impact: Highlights collaboration and teamwork
Affected Components: GitHub API processing, ranking logic, card rendering
Estimated Effort: Hard (requires complex data aggregation, ranking algorithms, and API handling)
Related Issues
N/A