Bootstrapped App Dev Agency

Acquire.com

A profitable app development studio that helps businesses, nonprofits, and entrepreneurs turn ideas into user-friendly apps. From discovery and product design to launch and iteration, they deliver custom mobile and web solutions that boost productivity, learning, and financial planning. Operating since 2012 in the U.S. (Texas-based), the company blends recurring retainers with project work, backed by a lean, proven process. Reliable revenue, a loyal 10–50 client base, and a small team make t...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$350,000

Annual profit$180,000

Launch Intel predictions

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

85%85% 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: entrepreneurs, apps, profitable · Missing: mobile apps, ios, personal

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

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

56%56% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

53%53% 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, profit, profitable · Missing: arr, mrr, saas

37%37% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

32%32% predicted probability of success on Hacker News, based on ML models trained on real launch data.

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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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