Anonymous follow tracking tool for social media users offering secure insights

Acquire.com

Profitable viral social curiosity app that allows users to anonymously track Instagram follow activity through Android and Web subscriptions. The business scaled rapidly through a proprietary UGC acquisition engine across TikTok, Instagram Reels, and Snapchat, creating a highly efficient and repeatable growth system. ✅ 2.1M+ downloads ✅ ~600K monthly active users ✅ 7,600+ active subscribers ✅ $1.12M ARR ✅ $870K+ profit run-rate ✅ 70%+ profit margins ✅ 160K+ Google Play reviews (4.6★ rating) ...

Visit product View on Acquire.com SaaS

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Actual performance

$93,333/yr

Made the leaderboard

Traction signals

Asking price$2,963,972

Annual revenue$1,120,000

Revenue multiple2.6x

Launch Intel predictions

Analyze your own launch →

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

83%83% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

82%82% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% predicted probability of success on AppSumo, 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

50%50% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: google, user, activity · Missing: mac, agents, macos

45%45% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

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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