Profitable Viral Consumer AI Photo-to-Video iOS App

Acquire.com

This profitable consumer iOS app lets users turn a single photo into hyper-realistic AI images and prank-style videos in seconds. The content is made to be shared, helping the product grow naturally through social posts and word of mouth. Launched less than a year ago, the app has already reached 278,000 downloads, about 1,700 paying subscribers, a 4.6-star rating, and $580K+ in revenue with $291K+ in net profit. It has been profitable every month since launch and is operated in only a few h...

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Actual performance

$48,333/yr

Made the leaderboard

Traction signals

Asking price$985,000

Annual revenue$580,000

Revenue multiple1.7x

Launch Intel predictions

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

91%91% 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, video, month · Missing: mobile apps, personal, entrepreneurs

88%88% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

nativeThis product was originally launched on this platform.

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

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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

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

30%30% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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