Profitable iOS AI dating assistant with 151K lifetime units and 130 paid subscribers

Acquire.com

This native iOS AI dating assistant turns profile and chat screenshots into personalized openers, replies, and conversation coaching. As of July 28, 2026, it has 130 active paid subscriptions.

This native iOS AI dating assistant turns profile and chat screenshots into personalized openers, replies, and conversation coaching. As of July 28, 2026, it has 130 active paid subscriptions. Amplitude reports 912 monthly tracked users, and its last-30-day country breakdown shows 66% from Germany, Austria, and Switzerland. App Store Connect reports 151K lifetime units and a 4.8/5 global rating from 761 ratings. Revenue stabilized at $959-$980 per month from April through June 2026 on a net-p...

Visit product View on Acquire.com Mobile

Share card

Actual performance

Did not reach leaderboard

Traction signals

Asking price$30,000

Launch Intel predictions

Analyze your own launch →

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

84%84% 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, personal, month · Missing: mobile apps, entrepreneurs, apps

69%69% 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, open · Missing: mac, agents, macos

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

Acquire.comFits revenue-generating acquisition profile · Strong signals: revenue, profit, profitable · Missing: arr, mrr, saas

51%51% 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: io · Missing: https docs, excited, just released

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

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

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

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

36%36% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

Dating website where ladies get paid72%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dating website where ladies get paid

Hacker News11

Subscriber-Only – Paid Subscriptions for Jekyll53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Subscriber-Only – Paid Subscriptions for Jekyll

Hacker News23

Scouts for iOS95%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Your always-on AI agents to monitor the web, now on iOS

Product Hunt+117Productivity

Mixtape Dating60%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Mixtape Dating

Hacker News9

Quivr – Crowdsourced Dating47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Quivr – Crowdsourced Dating

Hacker News1

How biased are your dating choices?54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

How biased are your dating choices?

Hacker News1

Dating turned upside down - Tomonotomo61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Dating turned upside down - Tomonotomo

Hacker News40

Datinfree39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

dating

Indie Hackerscommitment-full-time

TofuTogether21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Vegan && Vegetarian dating

Indie Hackers

FiloMail for iOS91%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI-native inbox that turns emails into actionable to-dos

Product Hunt+130Email

Browse all products Analyze your launch