OnzAuth - Add Fingerprint and FaceID Login in Minutes

AppSumo

Customers are all about OnzAuth - Add Fingerprint and FaceID Login in Minutes, praising its seamless integration, unlimited projects and users, and the ability to brand login pages for each project. There are a few hiccups like limited WordPress plugin options and a "Powered by OnzAuth" text in the footer. Weighing the raves against the occasional grumbles, OnzAuth is hitting the mark and is a solid buy for those in need of a secure and customizable authentication solution. Plus, with a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoAug 17, 2022

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Actual performance

12reviews

Did not reach leaderboard

Traction signals

Rating4.7 / 5

Purchases522

Launch Intel predictions

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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.

best fitHighest predicted score across all platforms for this description.

AppSumoMay struggle as an AppSumo deal · Strong signals: plus, occasional, users · Missing: platform, intuitive, reviews

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

36%36% predicted probability of success on TrustMRR, 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

31%31% 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 · Missing: mac, agents, macos

29%29% 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

4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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