Cumfiesta.24.06.16.ryan.reid.the.rise.of.the.cu...

createdAt DateTime @default(now()) updatedAt DateTime @updatedAt

return ( <div className="max-w-4xl mx-auto px-4 py-8"> /* Category Pills */ <div className="flex gap-2 overflow-x-auto pb-4 mb-6 sticky top-0 bg-white z-10"> ['All', 'Viral', 'Movies', 'Music', 'Gaming'].map(cat => ( <button key=cat className="px-4 py-2 rounded-full bg-gray-100 hover:bg-gray-200 whitespace-nowrap"> cat </button> )) </div>

To keep the feed fresh, you need automated scrapers or API integrations :

res.json( data: trendingContent, hasMore: trendingContent.length === limit ); }); CumFiesta.24.06.16.Ryan.Reid.The.Rise.Of.The.Cu...

def fetch_youtube_trending(): youtube_api_key = os.getenv("YOUTUBE_API_KEY") url = f"https://www.googleapis.com/youtube/v3/videos?part=snippet,statistics&chart=mostPopular®ionCode=US&videoCategoryId=10&key=youtube_api_key" # Category 10 = Music, 24 = Entertainment return videos

const handleLike = async (itemId: string) => // Optimistic update setItems(items.map(item => item.id === itemId ? ...item, likes: item.likes + (item.userLiked ? -1 : 1), userLiked: !item.userLiked : item )); await fetch( /api/trending/$itemId/interact , method: 'POST', body: JSON.stringify( type: 'like' ), headers: 'Content-Type': 'application/json' ); ;

def fetch_twitter_trending(): # Use Tweepy to get trending topics + top media tweets client.get_trends_place(1) # Worldwide For "live" trending updates, push new trending items to connected clients: div className="max-w-4xl mx-auto px-4 py-8"&gt

// Add user-specific interaction status if (req.user) for (const item of trendingContent) item.userLiked = await prisma.userLike.findUnique( where: userId_contentId: userId: req.user.id, contentId: item.id ) !== null;

@@index([trendScore(sort: Desc)]) @@index([contentType, category])

enum ContentType VIDEO MEME ARTICLE TRAILER /* Category Pills */ &lt

# Apply recency bonus if hours_since_publish < 2: score *= 1.5 return round(score, 6) // GET /api/trending/feed router.get('/feed', async (req, res) => { const limit = 20, offset = 0, contentType, category = req.query; const whereClause = {}; if (contentType) whereClause.contentType = contentType; if (category) whereClause.category = category;

# Total interactions interactions = content.views + (content.likes * 2) + (content.shares * 5) + (content.comments * 3)

score = math.log10(max(interactions, 1)) / ((hours_since_publish + 2) ** gravity)

Simplified implementation:

$$TrendScore = \frac\log_10(interactions + 1) + (hoursElapsed \times gravity)(hoursSincePublished + 2)^1.5$$