InPrivy - Secure and Easy Sharing

AppSumo

InPrivy - Secure and Easy Sharing is appreciated by customers for its simplicity, secure sharing, and customizable branding. Some minor drawbacks include occasional support delays and the need for clearer instructions on certain features.

InPrivy - Secure and Easy Sharing is appreciated by customers for its simplicity, secure sharing, and customizable branding. Some minor drawbacks include occasional support delays and the need for clearer instructions on certain features. With an overall rating of 4.9 and positive feedback, it's a solid buy for those in need of secure information sharing. With a 60-day money-back guarantee, it's worth giving it a try.

Visit product View on AppSumoNov 23, 2021

Actual performance

70reviews

Made the leaderboard

Traction signals

Rating4.9 / 5

Purchases1,997

Launch Intel predictions

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AppSumoStrong fit for a featured deal · Strong signals: occasional, overall rating · Missing: plus, platform, intuitive

81%81% 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

62%62% 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

46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · 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

28%28% predicted probability of success on TrustMRR, 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

11%11% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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