Re

Real Estate Appraisal SaaS

Acquire.com

This subscription business provides practical tools for residential real estate appraisers to compare sales, make value adjustments, and create more consistent, defensible reports. It helps professionals work faster, improve confidence in their valuations, and support lender-facing work with a clear, proven methodology.

This subscription business provides practical tools for residential real estate appraisers to compare sales, make value adjustments, and create more consistent, defensible reports. It helps professionals work faster, improve confidence in their valuations, and support lender-facing work with a clear, proven methodology. Founded in 2015 and grown organically, the company has a loyal customer base, strong recurring revenue, and excellent margins. With $298K ARR, $256K TTM revenue, $220K TTM pr...

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Actual performance

$24,833/yr
Made the leaderboard

Traction signals

Asking price$950,000
Annual revenue$298,000
Annual profit$220,000
Revenue multiple3.2x

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, saas · Missing: mrr, profit, profitable
69%69% 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 · Missing: mobile apps, ios, personal
68%68% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos
37%37% 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
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: lua, ide, io · Missing: https docs, excited, just released
27%27% 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
5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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