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Subscription Website Design & Management Service | $122k ARR, 38 Active Clients, 76% Margins

Acquire.com

This profitable subscription service designs, builds, and manages business websites. A flat monthly membership bundles design, development, hosting, security, content updates, and strategy sessions—so sites get better over time, not worse.

This profitable subscription service designs, builds, and manages business websites. A flat monthly membership bundles design, development, hosting, security, content updates, and strategy sessions—so sites get better over time, not worse. Built for established service companies (home services, construction, professional services), membership plans are priced by page count, creating predictable recurring revenue and strong margins with a lean team. Key Highlights: ✅ Bootstrapped, US-based; ...

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Actual performance

$10,166/yr
Made the leaderboard

Traction signals

Asking price$245,000
Annual revenue$122,000
Revenue multiple2.0x

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: arr, revenue, profit · Missing: mrr, saas, ttm
75%75% 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: month, monthly, profitable · Missing: mobile apps, ios, personal
71%71% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: host · Missing: plus, platform, intuitive
62%62% 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
44%44% 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
44%44% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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