Beautifully designed, AI-assisted book tracker app & Goodreads competitor with high growth potential

Acquire.com

Profitable Mobile app with $220,000 in TTM revenue and $135,000 in TTM profit, that is a beautiful reading tracker app that not only lets you build your library and to-read list, but also actively helps you remember what you read through spaced repetition quizzes and daily reviews. ✅ $224,000 in TTM revenue ✅ $140,000 in TTM profit ✅ Competitors: Bookly, Reading List, Book Track, Goodreads, Bookmory

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$700,000

Launch Intel predictions

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

83%83% 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

58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

57%57% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

56%56% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

47%47% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

38%38% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

23%23% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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