PropTech Mall Management SaaS

Acquire.com

Profitable B2B SaaS for shopping centers and retail property owners. It streamlines tenant communications, operations, and customer engagement, making it mission-critical and highly sticky.

Profitable B2B SaaS for shopping centers and retail property owners. It streamlines tenant communications, operations, and customer engagement, making it mission-critical and highly sticky. Operating across Northern Europe with 300+ properties, 25,000+ tenants, and 1B+ annual visitors. Cloud-based, modular platform with fully owned IP. Experienced management runs the business; seller seeks a clean exit and smooth handover. Key Highlights ✅ ~$6M ARR; 20% YoY; TTM $2.29M revenue, $140k profit...

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Actual performance

$500,000/yr

Made the leaderboard

Traction signals

Asking price$6,120,000

Annual revenue$6,000,000

Annual profit$140,000

Revenue multiple1.0x

Launch Intel predictions

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

82%82% 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, margin, growth

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: profitable · Missing: mobile apps, ios, personal

64%64% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: 000, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform, communications · Missing: plus, intuitive, reviews

50%50% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

31%31% 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

17%17% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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