OPEN SOURCE INTELLIGENCE

Decode the
X Algorithm

A deterministic simulator built from the leaked X recommendation pipeline. Enter any @username, compose a post, and watch our engine run it through Phoenix action predictions, the WeightedScorer, author diversity decay, and visibility pre-filters — just like the real system.

No Login
No API Key
No Credit Card
100% Free
No Data Stored
19Action Signals
70+Topic Categories
0API Keys Needed
100%Free Forever
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PIPELINE COMPONENTS

How the Simulation Works

Every component mirrors a real module from the X recommendation source code.

01

Phoenix ML Predictions

19 distinct action probability predictions per post. Real X weights: Reply 54×, Retweet 20×, VQV 40×, Quote 20×, Report −200×. From weighted_scorer.rs and phoenix_scorer.rs.

02

Visibility Filtering Engine

Simulates X's VF pipeline: link penalty (−20×), spam detection (−32×), brand safety (−64×), profanity scanning (50+ TR/EN words), and spam pattern matching. From vf_filter.rs and safety classifiers.

03

Network & Diversity Factors

Out-of-Network penalty (×0.7 from oon_scorer.rs), Author Diversity decay (×0.6^n from author_diversity_scorer.rs), In-Network boost for followed accounts. Same formulas as the production X pipeline.

04

VQV & Media Intelligence

Real X rule from tweet_type_metrics: videos ≤10 seconds get ZERO video_quality_view weight. Three duration buckets with distinct dwell bonuses. Photo expand (2×) for image posts.

05

Timing & Age Decay

Engagement pool multipliers: weekday morning ×1.20 peak, night ×0.50 trough. Post age decay from engagement_counts_hydrator.rs cache TTL: fresh <30min ×1.15, stale >24hr ×0.25.

06

Real-Time X Profile Data

Live follower counts, following, account age, and verification status from X's public pages. No OAuth, no tokens. 7 follower tiers with power-law reach rates calibrated to real X benchmarks.

6
Retrieval Sources
Thunder, TweetMixer, Phoenix, Topics, MOE, Cache
19
Phoenix Signals
Every action probability from the real pipeline
70+
Topic Categories
From X's topic_ids_filter.rs taxonomy
7
Follower Tiers
Nano to Elite, each with distinct reach models
THE PIPELINE

From Candidate to Score

The exact 7-stage flow that mirrors X's recommendation architecture.

1
Retrieval6 sources pull candidates
2
HydrationEnrich with engagement, video, language
3
Phoenix ML19 action probabilities per post
4
WeightedScorerSum(prob × weight) + diversity
5
Pre-FiltersSpam, safety, link, brand safety
6
SelectionTop-K sort + author diversity
7
Your Score0–100 + estimated impressions
FAQ

Common Questions

Is this really how X works?

The architecture is taken directly from the leaked X recommendation pipeline. Phoenix ML predictions → WeightedScorer → Author Diversity → Pre-Filters → Selection is the exact flow described in the source. The numerical weights (Reply 54×, VQV 40×, etc.) are verified against the codebase.

Why can't I use videos under 10 seconds?

That's a real X rule from tweet_type_metrics_hydrator.rs. The VQV (Video Quality View) weight — the single largest positive signal at 40× — only activates for videos above the minimum duration threshold. We mirror this rule exactly.

What does "OON" mean?

Out-of-Network. From oon_scorer.rs: posts from accounts you don't follow get a 0.7× score multiplier. This is why following count and follower ratio matter so much for reach.

Is my data stored?

Nothing is saved, logged, or sent anywhere. The X profile data is scraped from public pages in real-time. All algorithm computation runs in your browser. No cookies, no tracking, no database.

Ready to decode the algorithm?

No sign-up. No API key. Enter a username and start simulating.

Powered by izeo.app X Algorithm intelligence for creators Not affiliated with X Corp.
SIMULATOR

X Pipeline Dashboard

ACCOUNT LOOKUP
POST INPUT
0 / 280
PIPELINE SCORING
..

Look up an account, write a post, then simulate.

Ctrl+Enter to run
SIMULATION SCORE
--SIM SCORE
--
ESTIMATED REACH (IMPRESSIONS)
X ACTION SIGNALS
PIXEL MUSK
Score: --
Mood: idle
Higher score = happier Musk.
CONTENT LAB

Post Analyzer

Live detection of profanity, spam patterns, links, sentiment, and X pipeline risks as you type.

CONTENT INPUT
SENTIMENT
PROFANITY & RISK
PRE-FILTER RISK
PIPELINE TIPS