Implement Community Leaderboard for Opted-In Users

[loftwah]

We want to create a leaderboard feature for users who have opted into community features and have public analytics enabled. This leaderboard will showcase top performers based on various metrics, encouraging engagement and friendly competition among our users.
Tasks:

Database and Model Updates:

Add a boolean field to the User model for opting into community features
Ensure the existing public analytics flag is being used correctly
Create a Leaderboard model to store and cache leaderboard data

Backend Logic:

Develop a service to calculate leaderboard rankings based on chosen metrics (e.g., page views, link clicks, follower count)
Implement logic to update leaderboard data periodically (consider using a background job)
Create an API endpoint to fetch leaderboard data

Frontend Development:

Design the leaderboard UI using Tailwind CSS
Implement a Stimulus controller for dynamic leaderboard updates
Create a dedicated leaderboard page and consider adding a condensed version to the dashboard

User Opt-In Flow:

Implement a settings page or modal for users to opt into community features
Add clear explanations of what opting in entails (public analytics, appearing on leaderboard)
Ensure users can easily opt out at any time

Privacy Considerations:

Only include users who have explicitly opted in
Allow users to choose a display name for the leaderboard (default to username)
Implement privacy checks in the backend to prevent data leaks

Leaderboard Features:

Add filters for different time periods (daily, weekly, monthly, all-time)
Implement categories for different metrics (most views, most clicks, etc.)
Add a personal stats section showing the user's rank and stats

Gamification Elements:

Design and implement badges or achievements for leaderboard milestones
Consider adding a progression system (levels, tiers) based on leaderboard performance

Testing:

Write unit tests for leaderboard calculation logic
Implement integration tests for the opt-in process and data privacy
Perform thorough manual testing, especially around privacy and data accuracy

Documentation:

Update user documentation to explain the leaderboard feature
Create internal documentation on how the leaderboard is calculated and updated

Performance Optimization:

Implement caching strategies to ensure the leaderboard loads quickly
Monitor and optimize database queries related to leaderboard calculations

Accessibility:

Ensure the leaderboard is fully accessible, including proper ARIA labels
Test with screen readers and keyboard navigation

This feature will add a fun, competitive element to our platform while respecting user privacy and preferences.