14-App iOS Portfolio with 140K Monthly Downloads and 100% Organic Revenue

Acquire.com

This app portfolio includes 14 successful iOS apps across multiple categories. It generates about 140,000 downloads per month, producing steady revenue.

This app portfolio includes 14 successful iOS apps across multiple categories. It generates about 140,000 downloads per month, producing steady revenue. With a proven track record of user engagement and profitability, the portfolio offers a compelling investment opportunity in the growing mobile app market. All traffic and revenue have been 100% organic through May 2025. ✅ 4,700 active subscribers with strong retention ✅ 100% organic downloads (through May 2025) ✅ High-quality apps/product/U...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$2,000,000

Launch Intel predictions

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

92%92% 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, apps, month · Missing: mobile apps, personal, entrepreneurs

73%73% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

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

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

50%50% 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 HuntUnlikely to reach the leaderboard · Strong signals: apps, user · Missing: mac, agents, macos

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

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

26%26% 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

6%6% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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