Viral reel creator app that transforms photos and videos into high-performing content in minutes

Acquire.com

A fast-growing iOS app that turns photos and videos into high-performing reels in minutes. Loved by creators, influencers, and hobbyists, it offers studio-quality templates and exports with zero learning curve. Built for viral results, it powered 150K reel exports and 100K edits in the last year. Lean, profitable, and simple to run: ~43K downloads LTM, 1.5K MAU, 67 paying subscribers, and a 1,000% revenue lift. With ~$0 operating costs and automated flows, it runs almost hands-free—great as ...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$16,000

Launch Intel predictions

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

94%94% 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

75%75% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

66%66% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoStrong fit for a featured deal · Missing: plus, platform, intuitive

61%61% predicted probability of success on AppSumo, 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

60%60% predicted probability of success on Hacker News, 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

48%48% 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 · Missing: web3, chat, crypto

8%8% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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