HarperAI

TrustMRR

Harper AI turns UK public records into deal flow for specialist lenders, brokers and developers. We link every Companies House charge to Land Registry titles, corporate structures and officer networks, then layer AI search, refinance alerts and lender market-share analytics on top. Customers pay £300–£3,152/mo to find borrowers who need finance now. Profitable from month one, bootstrapped, zero data-entry — the pipeline is the product.

Visit product View on TrustMRRSep 1, 2025Real Estate Software B2B

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Actual performance

10customers

$6,221MRR/mo

Made the leaderboard

Traction signals

Domain Rating1

MRR growth 30d-0.2%

Launch Intel predictions

Analyze your own launch →

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

66%66% 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.

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

60%60% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Strong signals: month, profitable · Missing: mobile apps, ios, personal

59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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.

Acquire.comPre-revenue stage for this audience · Strong signals: profit, profitable, bootstrapped · Missing: arr, mrr, revenue

26%26% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

16%16% predicted probability of success on AppSumo, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

9%9% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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