TargetOppX: Engagement-Based Targeting for X

Every tweet on X has a window of opportunity — a limited time where your reply will actually get seen. TargetOppX shows you exactly how much runway is left on every tweet in your timeline, so you stop guessing and start engaging where it counts. HOW IT WORKS TargetOppX reads each tweet's views, age, retweets, replies, and likes directly from the page. It uses an engagement-gated decay model to project how many impressions are still coming — then scores every tweet into an opportunity tier: 🚀 Breakout (50K+ remaining) — Massive opportunity. Drop everything and reply. 🔥 Hot (15K–50K remaining) — Strong opportunity. Put a quality reply here. ⚡ Active (3K–15K remaining) — Worth engaging if you have a good take. 📉 Fading (500–3K remaining) — Low remaining. Only if you have something sharp. ⬛ Spent (<500 remaining) — Opportunity is gone. Move on. Trajectory arrows (↑ and ↑↑) show when a tweet's engagement confirms the algorithm is actively amplifying it — meaning even more impressions are coming than a normal tweet would get. TIMELINE FILTER Turn on the filter to dim low-opportunity tweets and highlight the ones worth your time. Choose a minimum tier — everything below it fades out. Your timeline becomes a prioritized engagement queue. Dimmed tweets collapse but expand on hover so you can still peek. WHY ENGAGEMENT-BASED? View count alone doesn't tell you if a tweet is going viral. The X algorithm amplifies based on engagement signals — retweets, replies, and likes relative to views. TargetOppX weights these signals (retweets 3x, replies 2x, likes 1x) to detect when the algorithm is actively pushing a tweet, then adjusts the projection accordingly. A tweet with 100K views but low engagement? It was pushed but didn't resonate — it'll decay normally. A tweet with 10K views but the replies are blowing up? The algorithm will keep feeding it. TargetOppX knows the difference. FEATURES • Real-time opportunity scoring on every tweet in your timeline • Engagement-gated dual-curve decay model (normal + viral trajectories) • 5 opportunity tiers with color-coded badges • Timeline filter with dim/highlight (doesn't break X's infinite scroll) • Trajectory arrows showing viral momentum • Detailed tooltips with projected totals, engagement rate, and viral blend % • 60-second auto-refresh as tweets age • Session stats tracking in the popup PRIVACY TargetOppX runs entirely in your browser. No data is collected, transmitted, or stored externally. It reads publicly visible tweet metrics from the page and saves your preferences locally. That's it.