iOS AI Grammar Keyboard App

Acquire.com

This iOS writing app lives in the keyboard and proofs in real time—fixing grammar, spelling, punctuation, and style as you type. Students and professionals write faster, clearer, and with confidence across any app. It’s a lean subscription business with steady growth and top reviews, needing minimal day-to-day oversight. Profitable with strong retention, and offered as a clean exit with seller support for a smooth handover. Key Highlights ✅ Real-time corrections inside any iOS app via keybo...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$95,000

Launch Intel predictions

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TrustMRRFits verified-revenue profile · Strong signals: ios, profitable · Missing: mobile apps, personal, entrepreneurs

78%78% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, growth · Missing: arr, mrr, revenue

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

nativeThis product was originally launched on this platform.

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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

25%25% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Strong signals: real time · Missing: web3, chat, crypto

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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