CrazyQRCode

CrazyQRCode

TrustMRR

QR codes haven't changed in decades. The sticker on your restaurant table still points to the same PDF you uploaded in 2021. CrazyQRCode fixes that. CrazyQRCode is a dynamic QR code platform built for

QR codes haven't changed in decades. The sticker on your restaurant table still points to the same PDF you uploaded in 2021. CrazyQRCode fixes that. CrazyQRCode is a dynamic QR code platform built for teams that need more than a basic generator. One code, infinite control — edit the destination anytime, run A/B tests, route users by country, schedule time-based redirects, and get real-time analytics on every scan. No reprints required.

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Actual performance

Did not reach leaderboard

Traction signals

Domain Rating7

Launch Intel predictions

Analyze your own launch →
Indie HackersIH features products with proven revenue · Missing: supports, reddit linkedin, podcasting
47%47% 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.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, users · Missing: plus, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal
40%40% 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
36%36% predicted probability of success on Hacker News, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: user, code · Missing: mac, agents, macos
26%26% 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
24%24% 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
7%7% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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