Mi XCreator

🫶🏻 x.com/i/communities/…

@muskonomy I'm down

too good to be true

@doganuraldesign Hey 🔥

I’m looking to meet new X creators Say hi and share your work below

So Elon's biggest fan is back ☠️ cc: @nikitabier

@tetsuoai Mind blowing 🤯

X's Recommendation Algorithm Analysis ===================================== Used Grok Code Fast to get a quick breakdown of X's recommendation system. What Makes a post Go Viral =========================== tldr: Engagement prediction trumps everything. Post content that generates interactions. Based on the actual algorithm code, posts that rank highest typically have: + High predicted engagement scores (ML models predict likes/reposts/replies) + Strong personalization match (SimClusters similarity to user interests) + Social graph relevance (RealGraph connections to user's network) + Media content (images/videos get engagement multipliers) + Author credibility (follower count, verification, tweepcred score) + Content quality signals (passes spam/NSFW/quality filters) + Timely relevance (freshness factor, trending topics) + Conversation potential (high reply prediction scores) The algorithm uses machine learning models to predict engagement, not simple weighted formulas. Success is measured by actual user interactions, creating a feedback loop that continuously improves ranking predictions. How the Algorithm Actually Works =============================== 1. Candidate Generation (9 sources): - Earlybird (in-network posts) ~50% - UTEG (out-of-network recommendations) - postMixer, Lists, Communities, Content Exploration - Static, Cached, Backfill sources 2. Feature Hydration (~6000 features per post): - User features (interests, behavior, demographics) - post features (text, media, metadata, engagement) - Graph features (SimClusters, RealGraph, social connections) - Real-time signals (current engagement, trending status) 3. Scoring Pipeline (4 models): - Model Scoring (NAVI heavy ranker) - Reranking Pipeline - Heuristic Scoring - Low Signal Scoring 4. Filtering (24 total filters): - 10 Global Filters (age < 48h, deduplication, location, etc.) - 14 Post-Score Filters (Grok safety, language, video duration, etc.) 5. Final Selection & Mixing: - Sort by final scores - Apply diversity rules - Mix with ads, who-to-follow, prompts - Generate timeline Key Prediction Models ==================== The algorithm predicts these engagement types: • PredictedFavoriteScore (likes) • PredictedRetweetScore (reposts) • PredictedReplyScore (replies) • PredictedGoodClickScore (meaningful clicks) • PredictedVideoQualityViewScore (video engagement) • PredictedBookmarkScore (saves) • PredictedShareScore (external shares) • PredictedDwellScore (time spent viewing) • PredictedNegativeFeedbackScore (hides/blocks) Weight System Reality ==================== IMPORTANT: The algorithm does NOT use fixed percentage weights like: ❌ Like Prediction (35%), Repost (28%), etc. ACTUAL SYSTEM: ✅ Weights are learned parameters from ML training ✅ Default values in code are 0.0 (overridden by feature flags) ✅ Weights are personalized per user and constantly A/B tested ✅ Different content types (video vs text) get different treatment ✅ Weights change based on real-time context and user state Example scoring process: 1. ML models predict engagement probabilities 2. Feature flags provide current weight multipliers 3. Personalization adjusts weights for individual user 4. Real-time context modifies final scores 5. Business rules apply quality gates and diversity What Actually Drives Viral Content ================================== Based on code analysis, viral posts typically: 1. Generate High Engagement Predictions: - Models predict high like/repost/reply probability - Content resonates with multiple user communities - Strong early engagement signals 2. Pass All Quality Gates: - Survive 24 different filter stages - Meet safety standards (not spam/NSFW/violent) - Author has good credibility signals 3. Achieve Personalization at Scale: - Match interests across diverse user segments - Trigger SimClusters similarity for many users - Connect through RealGraph social relationships 4. Optimize for Platform Mechanics: - Include media (images/videos perform better) - Post during high-activity periods - Use formats that encourage replies/reposts Key Takeaways ============= ✅ Engagement prediction is everything - the algorithm optimizes for user interactions ✅ Personalization is sophisticated - uses ML embeddings, not simple keyword matching ✅ Quality filtering is extensive - 24 stages prevent low-quality content ✅ Weights are dynamic - constantly optimized through ML and A/B testing ✅ Scale matters - system processes billions of posts daily with <50ms latenc Transparency exists - this analysis is possible because X open-sourced the algorithm The system is designed to surface content users will engage with, creating a feedback loop that rewards creators who understand their audience and produce engaging content. Bottom line: Create content that generates genuine engagement from your target audience. The algorithm will learn and amplify what works.

@nikitabier ☠️

Her: So what are your hobbies? Me: Suspending accounts with “Free Crypto Giveaway” on their profiles

"Sir focus on content creators on X and they will make your app number one"

“Sir another Hong Kong VPN has registered 1000 accounts”

When I see the spam bots found a new way to ruin my week x.com/litteralyme0_/…

@nikitabier get the guy who is working for threads team your skill will be 10x with 1 day

i’m 24 years old and a creator on X – built 4 startups – failed 4 startups – almost went bankrupt twice – no car – no girlfriend – no friends – living with parents – no social life – no hobbies, just work but somehow, i still believe this is the beginning, not the end is it over for me yes or no

@n4gold_ Congratulations.. how long it took?

Q4 will be magnificent

I'm a Content Creator on X Looking for other creators 👀

I’m a content creator on X. Started taking it seriously just 3 months ago. Since then, I’ve made over $4,100 from my content. This is just the beginning. For me, it’s a good start. For you, it might be the push you need. Be a creator on X. It will change your life.

Payday from X!!! I can afford Chipotle!!! 😭😭😭🙏🏾🙏🏾🙏🏾

Creators! We’re excited to unveil our biggest update to Creator Revenue Sharing yet. Payouts are increasing and you'll now be paid based on engagement with your content from Premium users - not ads in replies. Here’s what’s changing:

Create Content on X

If you want to get rich on X, it isn't going to be through creator revenue or meme coins. Instead, think about one subject matter that you know more about than anyone else in the world. It can be anything: plumbing, menswear, Indian food, furniture, social apps, whatever. Post one unexpected insight you picked from your experience in that area. Keep it under 5 sentences. Do this every day for 6 months. If you stick to it, we will promote your account to others. By the end, you will be recognized as the world's leading expert in that subject area and you can charge whatever you want for endorsements, your time, or whatever. And no one will be able to take that way from you.

Just made my first $11.15 from X subscriptions. Not life-changing money. But it is life-changing proof. Be a Creator on X. It will change your life.