Yubook - See how a draft will land before you post.

TrustMRR

Paste a draft. Yubook scores it against X's published ranking signals before it goes out: reply, share, or mute. Then it ranks fresh posts from accounts you follow, so a reply can still land in front

Paste a draft. Yubook scores it against X's published ranking signals before it goes out: reply, share, or mute. Then it ranks fresh posts from accounts you follow, so a reply can still land in front of someone else's readers. No follow-for-follow. Does not post to X for you. You get a seven-day plan, a watch list from accounts you follow, follower tracking, AI rewrites, and Threads when you press publish. Free: search-visibility check and best hours. Korean & English. $7.9/week or $69.9/year.

Visit product View on TrustMRR Analytics Other paddle

Actual performance

Did not reach leaderboard

Traction signals

Domain Rating3

Launch Intel predictions

Analyze your own launch →

Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

52%52% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

Product HuntOn track for Day 1 leaderboard · Missing: mac, agents, macos

52%52% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

48%48% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal

33%33% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

18%18% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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