Turnkey App & SaaS Dev Agency

Acquire.com

Profitable app & SaaS development studio turning founder ideas into launch‑ready web and mobile products—fast. One package covers design, build, backend, and deployment at prices far below traditional agencies, enabling rapid go‑to‑market. Serving the US, Europe, and the Middle East, the team has delivered dozens of apps across fintech, health, AI, marketplaces, and productivity. Recurring revenue comes from maintenance, feature expansion, and scaling support. Key Highlights ✅ TTM: $268,958...

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Actual performance

$5,916/yr

Made the leaderboard

Traction signals

Asking price$200,000

Annual revenue$71,000

Annual profit$74,000

Revenue multiple2.8x

Launch Intel predictions

Analyze your own launch →

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

83%83% 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.

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

66%66% 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 HuntOn track for Day 1 leaderboard · Strong signals: apps · Missing: mac, agents, macos

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

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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: apps, profitable · Missing: mobile apps, ios, personal

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

45%45% 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

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

Correct prediction on native model

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