ReachOS — Content Reach Optimizer

Real-time Reach Score for tweets. Aligned to xai-org/x-algorithm. 25 signal predictors, video-first scoring, BYOK AI.

As of June 2026, ReachOS — Content Reach Optimizer has 12 users and a 5.00/5 rating from 1 reviews in the Workflow & Planning category.

Usersno change0%
12
12
Ratingno change0%
5.00
1 reviews
Reviewsno change0%
1
Version
4.1.0
Manifest V3
90-day change · In the last 90 days this extension 2 version updates, changed permissions.

History

10 snapshots

Tracking since Apr 1, 2026.

12.49.56.6Apr 1, 2026Jun 10, 2026
View as table
DateUsersRatingReviewsVersion
Apr 1, 20261.0.0
Apr 17, 20261.0.0
Apr 27, 202675.0013.3.0
May 5, 202695.0013.3.0
May 10, 2026115.0013.3.0
May 16, 2026105.0013.3.0
May 22, 2026125.0013.3.0
May 28, 2026125.0014.1.0
Jun 4, 202695.0014.1.0
Jun 10, 2026115.0014.1.0
Now125.0014.1.0

Changelog

  • May 22, 2026
    short_description
    Real-time Reach Score for your tweets. Optimize content against algorithm signals.
    Real-time Reach Score for tweets. Aligned to xai-org/x-algorithm. 25 signal predictors, video-first scoring, BYOK AI.
  • May 22, 2026
    host_permissions
    https://x.com/*, https://twitter.com/*
    https://x.com/*, https://twitter.com/*, https://api.anthropic.com/*
  • Apr 17, 2026
    description
    Know your reach potential before you hit post. ReachOS analyzes your tweet against 29 algorithm-research-backed rules and gives you a 0-100 Reach Score in real time.
    ❯ ReachOS - Know your reach before you post.
    
      Open-source Chrome extension that scores your tweets in real time against 35 algorithm-research-backed rules, predicts your reach, and shows you exactly how to improve it. BYOK (Bring
      Your Own Keys) - fully self-hostable.
    
      --- FEATURES ---
    
      Score Overlay: A live 0-100 Reach Score appears on X.com as you type. Breakdown bars show Hook, Structure, Engagement, Penalties, and Bonuses in real time.
    
      Reach Forecast: Predicts how many impressions your tweet will get. Shows reply probability, bookmark chance, and viral breakout percentage.
    
      What-If Scenarios: See exactly what happens if you remove a link (+52%), add an image (+38%), post at peak time (+25%), or align with a trending topic (+15%). Click to apply.
    
      X-Ray Mode: Scores every tweet on your timeline as you scroll. Color-coded pills (red to purple) show reach potential at a glance. See what works and what doesn't.
    
      AI Auto-Optimize: One click runs 5 rounds of iterative AI rewriting to find the highest-reach version of your tweet. Powered by Claude.
    
      AI Slop Detection: Flags AI-sounding language patterns (28 heuristic patterns + LLM verification). The algorithm penalizes robotic content.
    
      Reply Coach: Notifies you about unanswered replies on your tweets. Replying to engaged followers gives a 150x algorithm distribution boost.
    
      Self-Reply Strategy: Generate a conversation-starting self-reply. Author replies are worth 150x a like in the algorithm.
    
      Trending Alignment: Detects when your tweet matches currently trending topics for bonus reach points.
    
      Posting Time Optimizer: Shows optimal posting windows based on research-backed UTC peak engagement data.
    
      Self-Learning: The system tracks your predictions vs actual performance and auto-calibrates over time. The longer you use it, the more accurate it gets.
    
      BYOK (Bring Your Own Keys): Deploy your own API server or use the hosted instance. Configure in Settings. Fully open-source on GitHub.
    
      --- HOW IT WORKS ---
    
      1. Install ReachOS and open X.com
      2. Start composing a tweet - score appears instantly
      3. Check the Reach Forecast to see predicted impressions
      4. Use What-If Scenarios to optimize before posting
      5. Browse your timeline with X-Ray Mode to learn what works
    
      --- BACKED BY RESEARCH ---
    
      35 rules, 132 tests. Every rule is derived from the open-sourced X algorithm (twitter/the-algorithm), viral pattern analysis, and platform signal research. Not guesswork.
    
      Key signals: Reply = 27x a like. Bookmark = 20x. Media = 2x Earlybird boost. External links = -30 to -50% reach. 3+ hashtags = -40% engagement.
    
      Open source: github.com/AytuncYildizli/reach-optimizer

Permissions & access

Permissions
storage
Host access
https://x.com/*, https://twitter.com/*, https://api.anthropic.com/*

Screenshots

ReachOS — Content Reach Optimizer screenshot 1ReachOS — Content Reach Optimizer screenshot 2

About

❯ ReachOS - Know your reach before you post.

  Open-source Chrome extension that scores your tweets in real time against 35 algorithm-research-backed rules, predicts your reach, and shows you exactly how to improve it. BYOK (Bring
  Your Own Keys) - fully self-hostable.

  --- FEATURES ---

  Score Overlay: A live 0-100 Reach Score appears on X.com as you type. Breakdown bars show Hook, Structure, Engagement, Penalties, and Bonuses in real time.

  Reach Forecast: Predicts how many impressions your tweet will get. Shows reply probability, bookmark chance, and viral breakout percentage.

  What-If Scenarios: See exactly what happens if you remove a link (+52%), add an image (+38%), post at peak time (+25%), or align with a trending topic (+15%). Click to apply.

  X-Ray Mode: Scores every tweet on your timeline as you scroll. Color-coded pills (red to purple) show reach potential at a glance. See what works and what doesn't.

  AI Auto-Optimize: One click runs 5 rounds of iterative AI rewriting to find the highest-reach version of your tweet. Powered by Claude.

  AI Slop Detection: Flags AI-sounding language patterns (28 heuristic patterns + LLM verification). The algorithm penalizes robotic content.

  Reply Coach: Notifies you about unanswered replies on your tweets. Replying to engaged followers gives a 150x algorithm distribution boost.

  Self-Reply Strategy: Generate a conversation-starting self-reply. Author replies are worth 150x a like in the algorithm.

  Trending Alignment: Detects when your tweet matches currently trending topics for bonus reach points.

  Posting Time Optimizer: Shows optimal posting windows based on research-backed UTC peak engagement data.

  Self-Learning: The system tracks your predictions vs actual performance and auto-calibrates over time. The longer you use it, the more accurate it gets.

  BYOK (Bring Your Own Keys): Deploy your own API server or use the hosted instance. Configure in Settings. Fully open-source on GitHub.

  --- HOW IT WORKS ---

  1. Install ReachOS and open X.com
  2. Start composing a tweet - score appears instantly
  3. Check the Reach Forecast to see predicted impressions
  4. Use What-If Scenarios to optimize before posting
  5. Browse your timeline with X-Ray Mode to learn what works

  --- BACKED BY RESEARCH ---

  35 rules, 132 tests. Every rule is derived from the open-sourced X algorithm (twitter/the-algorithm), viral pattern analysis, and platform signal research. Not guesswork.

  Key signals: Reply = 27x a like. Bookmark = 20x. Media = 2x Earlybird boost. External links = -30 to -50% reach. 3+ hashtags = -40% engagement.

  Open source: github.com/AytuncYildizli/reach-optimizer

Technical

Version
4.1.0
Manifest
V3
Size
99.19KiB
Min Chrome
88
Languages
1
Featured
No

Metadata

ID
ligaanjkjpgaieabfmbeecehhhfoiecf
Developer ID
u6c08086f1c8737ca806b1d9924f774b4
Developer Email
[email protected]
Created
Mar 23, 2026
Last Updated (Store)
May 19, 2026
Last Scraped
Jun 10, 2026
Website
Support URL

Data sourced from the Chrome Web Store · last verified Jun 10, 2026.