An Intelligent, 360-Degree Guest Engagement Platform for the Hospitality Industry

Acquire.com

An intelligent, 360° guest engagement platform that boosts service while reducing labor and costs. Built by hoteliers and award-winning, it unifies Digital Compendium, Mobile Ordering, AI and Voice bots, Activity Booking, and more into one mobile-first experience. Proven in 30+ countries with 100–250 customers, including major brands. Bootstrapped, high-margin B2B SaaS with $646k ARR, $643k TTM revenue, and $409k TTM profit, with 8% growth. A lean team and mature ops make it easy to run and ...

Visit product View on Acquire.com SaaS

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Actual performance

$53,833/yr

Made the leaderboard

Traction signals

Asking price$2,240,340

Annual revenue$646,000

Revenue multiple3.5x

Launch Intel predictions

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

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.

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

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

68%68% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

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

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

39%39% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

35%35% 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

22%22% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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