Collage app for Instagram making $75k during only 3 days of the year. $1M+ total revenue in 5 years

Acquire.com

Mobile app with $74,000 in TTM revenue, a simple tool to generate a collage of your Top Instagram posts of the year that turned into the biggest Instagram trend. Every year, millions of Instagram users, influencers, and celebrities share their collage using our app, including Kylie Jenner and Cristiano Ronaldo. The app reached the top charts of the App Store EVERY YEAR on new year’s Eve for many years, with a recognizable brand and a significant SEO positioning for many keywords in social m...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$190,000

Launch Intel predictions

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

90%90% 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.

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

67%67% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

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

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

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

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

50%50% 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, ttm · Missing: arr, mrr, profit

36%36% 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

7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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