Automated SaaS for traders and investors ~$750K ARR, 45% profit margins, Perfect Trustpilot rating

Acquire.com

Profitable subscription SaaS in the trading space, launched in September 2025 and grown into a healthy, recurring-revenue business that is run solo in very little time each day. It pairs an all-in-one trading-analysis indicator suite with an AI-powered market dashboard included for every member. Customers subscribe monthly or yearly and get instant, automated access to both. The business effectively runs on autopilot. It is built on a clean, modern tech stack with a proven, repeatable acquisi...

Visit product View on Acquire.com SaaS

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Actual performance

$62,500/yr

Made the leaderboard

Traction signals

Asking price$600,000

Annual revenue$750,000

Revenue multiple0.8x

Launch Intel predictions

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

77%77% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

77%77% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

66%66% predicted probability of success on TrustMRR, 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

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

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

30%30% 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

19%19% 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

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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