
ReachOS
Grammarly for tweet reach — scores drafts against X's algo
What it does
Score your tweet drafts against 36 rules from X's open-sourced recommendation algorithm before you post. Paste a draft, get an instant score with fixes. What-If Scenarios show impact of each change: - Remove external link: +52% reach - Add an image: +38% - Post at peak time: +25% - Optimize all rules: +77% Runs entirely in the browser. No account needed. AI features (slop detection, auto-optimize) are optional and use your own API key. Free and open source (MIT).
Does the same job
all alternatives →
- GFGrammarly for tweet reach – 36 rules from X's sourceApr 2026 · github.com · ▲5
- IMI made a faster way to tweet than X2025 · tweettoilet.com · ▲11
- CYControl your X/Twitter feed using a small on-device LLMApr 2026 · imbue.com · ▲15
We built a Chrome extension and iOS app that filters Twitter's feed using Qwen3.5-4B for contextual matching. You describe what you don't want in plain language—it removes posts that match semantically, not by keyword. What surprised us was that because Twitter's ranking algorithm adapts based on what you engage with, consistent filtering starts reshaping the recommendations over time. You're implicitly signaling preferences to the algorithm. For some of us it "healed" our feed. Currently running inference from our own servers with an experimental on-device option, and we're working on fully…

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