After analyzing Olas's social feed implementation, I can provide you with valuable insights for building your workout-focused social feed using Nostr. Here's a breakdown of their implementation and how you can adapt it for POWR: ### Key Components of Olas's Feed Implementation 1. **Feed Architecture** - They use a main `Feed` component with two key parts: - `useFeedEvents` hook for managing feed data - `useFeedMonitor` hook for monitoring and updating feed entries 2. **NDK Integration** ```typescript import { NDKEvent, NDKFilter, NDKKind, NDKSubscription, useNDK } from "@nostr-dev-kit/ndk-mobile"; ``` 3. **Event Filtering** - They filter events based on specific kinds: ```typescript switch (event.kind) { case NDKKind.VerticalVideo: case NDKKind.HorizontalVideo: case 30018: case 30402: case NDKKind.Text: case NDKKind.Media: case NDKKind.Image: return handleContentEvent(eventId, event); ``` ### Implementing POWR's Workout Feed For your workout app, here's how you can adapt their implementation: 1. **Event Kind Definition** ```typescript // Define workout event kind const WORKOUT_EVENT_KIND = 30311; // Choose an appropriate kind number for workouts ``` 2. **Feed Filter Setup** ```typescript const workoutFeedFilters: NDKFilter[] = [{ kinds: [WORKOUT_EVENT_KIND], // Add any additional filters like tags }]; ``` 3. **Feed Component** ```typescript import { NDKEvent, NDKFilter, useNDK } from "@nostr-dev-kit/ndk-mobile"; export function WorkoutFeed() { const { entries, newEntries, updateEntries } = useFeedEvents( workoutFeedFilters, { subId: 'workout-feed', filterFn: (entry) => { // Add custom filtering for workout events return true; } } ); return ( ( )} estimatedItemSize={400} /> ); } ``` 4. **Useful NDK Tools to Leverage** - **Subscription Management** ```typescript const subscription = ndk.subscribe( workoutFeedFilters, { groupable: false, skipVerification: true, subId: 'workout-feed' } ); subscription.on("event", handleWorkoutEvent); subscription.once('eose', handleEose); ``` - **Event Processing** ```typescript const handleWorkoutEvent = (event: NDKEvent) => { // Process workout specific data const workout = { id: event.id, type: event.tagValue('workout-type'), duration: event.tagValue('duration'), // other workout specific fields }; // Update feed updateEntry(event.id, (entry) => ({ ...entry, event, workout, timestamp: event.created_at })); }; ``` 5. **Feed Entry Type** ```typescript type WorkoutFeedEntry = { id: string; event?: NDKEvent; workout?: { type: string; duration: string; // other workout metadata }; timestamp: number; }; ``` ### Key NDK Tools to Use 1. **Event Subscription** - `NDKSubscription` for real-time workout updates - `NDKFilter` for filtering workout-specific events 2. **Event Processing** - `NDKEvent` for handling workout event data - Event tags for workout metadata 3. **Feed Management** - `useFeedEvents` hook pattern for managing workout feed state - Entry caching and update mechanisms ### Best Practices from Olas's Implementation 1. **Performance Optimization** - Use of `FlashList` for efficient list rendering - Implement entry caching - Handle new entries efficiently 2. **State Management** - Track active entries - Manage subscription lifecycle - Handle feed updates appropriately 3. **User Experience** - Implement pull-to-refresh - Show new entries notification - Handle scrolling and viewing positions ### Additional Recommendations for POWR 1. **Workout-Specific Filters** - Add filters for workout types - Filter by duration, intensity, etc. - Use workout-specific tags 2. **Data Structure** ```typescript // Workout event structure const workoutEvent = { kind: WORKOUT_EVENT_KIND, tags: [ ['workout-type', 'strength'], ['duration', '45'], ['exercises', JSON.stringify(exercises)], // Additional metadata ], content: workoutDescription }; ``` 3. **Real-time Updates** - Implement real-time workout progress updates - Show active workouts in progress - Enable social interactions during workouts This implementation will give you a solid foundation for building a workout-focused social feed using Nostr. The key is adapting Olas's efficient feed management system while customizing it for workout-specific content and interactions.