Stamperly

TrustMRR

Digital loyalty cards that live in Apple Wallet and Google Wallet. Cafes, salons and barbershops launch a branded stamp card in minutes — no app to build, nothing for customers to download. Scan a QR

Digital loyalty cards that live in Apple Wallet and Google Wallet. Cafes, salons and barbershops launch a branded stamp card in minutes — no app to build, nothing for customers to download. Scan a QR code to give stamps. Bring people back with push notifications, broadcasts and automations, and see who your regulars actually are. Free up to 20 customers, from $12/month after.

Visit product View on TrustMRRJul 1, 2026SaaS Software B2B

Actual performance

2customers

$23MRR/mo

Did not reach leaderboard

Traction signals

Domain Rating1

MRR growth 30d+93.0%

Launch Intel predictions

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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.

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

57%57% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

42%42% predicted probability of success on AppSumo, 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

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: apple, google, code · 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 · Missing: arr, mrr, revenue

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

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

18%18% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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