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Complete booking platform for service businesses to take appointments, payments & reminders

Acquire.com

A production-ready appointment scheduling and business management platform designed for service-based businesses. The platform enables customers to book appointments online, make payments, and receive automated confirmations while giving business owners a centralized dashboard to manage bookings, staff, clients, and operations.

A production-ready appointment scheduling and business management platform designed for service-based businesses. The platform enables customers to book appointments online, make payments, and receive automated confirmations while giving business owners a centralized dashboard to manage bookings, staff, clients, and operations. Built with a scalable multi-tenant architecture, it supports subscription and marketplace revenue models, making it well suited for businesses serving salons, healthca...

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Actual performance

Did not reach leaderboard

Traction signals

Asking price$1,500

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: supports · Missing: reddit linkedin, podcasting, created
93%93% 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.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
55%55% 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
31%31% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: model, models · Missing: mac, agents, macos
27%27% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: revenue, subscription · Missing: arr, mrr, profit
20%20% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
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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