ReachOS — Content Reach Optimizer
1 rating
)Overview
Real-time Reach Score for tweets. Aligned to xai-org/x-algorithm. 25 signal predictors, time-spent scoring, BYOK AI.
ReachOS - Know your reach before you post. Open-source Chrome extension that scores your tweets in real time against 25 signal predictors aligned to xAI's open-sourced X algorithm, predicts your reach, and shows you exactly how to improve it. BYOK (Bring Your Own Keys), fully self-hostable. --- NEW IN v4.2: TIME SPENT & READ-THROUGH --- X's ranking now rewards posts people actually stop on and read to the end. Its published weights for dwell time and post-click time spent went up, while raw clicks and video views went down. ReachOS v4.2 follows that shift: Read-Through Scoring: Rewards posts that land a takeaway on the final line ("The lesson:", "Bottom line", "Result:"), so readers who reach the end get a payoff. Dwell Signals +60%: The Dwell bucket grows from 15 to 24 points. Concrete numbers, scannable lists and a second-paragraph payoff all add time spent. Hook Without Payoff Warning: Flags curiosity hooks ("nobody tells you...", "you won't believe...") that your post never pays off. Readers bail before the end. Better Links: A link scores well when the value behind it is specific (a number, a case study), not when it's bait. X now counts the seconds spent after the click, not the click itself. Rebalanced to X's published weights: smaller video and click credit, a stronger "not interested" penalty. --- CORE FEATURES --- Score Overlay: A live 0-100 Reach Score appears on X.com as you type. Bucket bars (Engagement, Curiosity, Dwell, Risk) update 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 what happens if you add an image (+35%), post at peak time (+25%), align with a trending topic (+15%), add a video (+15%), or add a curiosity gap before your link (+18%). 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 (your own key, or sign in to use the hosted server). AI Slop Detection: Flags AI-sounding language patterns (heuristic + LLM verification). Robotic content gets scrolled past. Ad Disclosure Detection: Flags undisclosed promo language and referral links before you post. Disclose with #ad or (sponsored) and the penalty disappears. Daily Post-Frequency Decay: Warns when each additional post that day earns less distribution than the last. Reply Coach (signed in): Notifies you about unanswered replies on your tweets. Replies are one of the heaviest positive signals in X's ranking. Self-Reply Strategy: Generate a conversation-starting self-reply. Trending Alignment: Detects when your tweet matches currently trending topics. Posting Time Optimizer: Shows optimal posting windows based on UTC peak engagement data. Self-Learning (signed in): Tracks your predictions vs actual performance, calibrates the forecast, and learns which signals lift your tweets. Your Reach Score then applies those learned weights. 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 - the 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 THE SOURCE --- 25 signal predictors, 71 tests. Every signal maps to a prediction head in xAI's open-sourced X algorithm (github.com/xai-org/x-algorithm), and point budgets follow the default weights X publishes in that repo. From X's published weights (October 2026): a reply is worth about 7.5x a like, a quote about 7.5x, a DM share about 7.5x. Copy-link shares carry the highest per-action weight. "Not interested", mute and block are heavy penalties, and a report is the heaviest at -234. Links are not penalized: clicks and time spent after the click are positive signals. Open source: github.com/AytuncYildizli/reach-optimizer
5 out of 51 rating
Details
- Version4.2.1
- UpdatedOctober 28, 2026
- Size100KiB
- LanguagesEnglish
- Developer
Email
aytuncyildizli@gmail.com - Non-traderThis developer has not identified itself as a trader. For consumers in the European Union, please note that consumer rights do not apply to contracts between you and this developer.
Privacy
ReachOS — Content Reach Optimizer has disclosed the following information regarding the collection and usage of your data. More detailed information can be found in the developer's privacy policy.
ReachOS — Content Reach Optimizer handles the following:
This developer declares that your data is
- Not being sold to third parties, outside of the approved use cases
- Not being used or transferred for purposes that are unrelated to the item's core functionality
- Not being used or transferred to determine creditworthiness or for lending purposes