Privacy-First Relationship Insights App with 50K+ Downloads and 27-Language Support

Acquire.com

This privacy-first relationship insights app went viral organically in October 2024, enabling users to upload exported chats from popular messaging platforms for on-device analysis of messaging patterns such as response times and ghosting, and it gained significant credibility after a viral Twitter thread led to features in 5+ major publications; it has achieved 50K+ lifetime downloads across iOS and Android with subscription monetization implemented via RevenueCat and growing revenue, suppor...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$15,000

Launch Intel predictions

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

82%82% 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.

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

54%54% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

51%51% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

43%43% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

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

28%28% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

15%15% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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