ElkQR

AppSumo

'Customers are all about ElkQR, praising its intuitive interface, extensive customization options, and responsive support. The platform's team management and bulk QR generation features have been game-changers for businesses. While some users have encountered minor issues with the interface and file size limitations, weighing the raves against the occasional grumbles, ElkQR is hitting the mark and is a solid buy for those in need of a reliable QR code management tool. Plus, with a 90-day money-back guarantee, it's definitely worth giving it a try!'

Visit product View on AppSumoApr 29, 2023

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Actual performance

239reviews

Made the leaderboard

Traction signals

Rating4.9 / 5

Purchases4,991

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: plus, platform, intuitive · Missing: reviews, host, exclusive

80%80% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

80%80% predicted probability of success on Indie Hackers, 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

39%39% predicted probability of success on Hacker News, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: users · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: user, code · Missing: mac, agents, macos

24%24% 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

18%18% 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

12%12% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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