Launch Intel
TrustQR

TrustQR

TrustMRR

TrustQR is a QR-based product authentication and brand protection solution that enables customers to verify product authenticity with a simple scan. The platform helps brands detect counterfeit produc

TrustQR is a QR-based product authentication and brand protection solution that enables customers to verify product authenticity with a simple scan. The platform helps brands detect counterfeit products, monitor suspicious scans, track market activity, and build consumer trust through secure product verification

Visit productView on TrustMRRJul 22, 2024SaaSFoodB2C
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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating20

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
74%74% 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.
Product HuntUnlikely to reach the leaderboard · Strong signals: activity · Missing: mac, agents, macos
43%43% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
42%42% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released
37%37% 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 · Missing: plus, intuitive, reviews
27%27% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% 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
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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