ProxiedMail

AppSumo

'Customers appreciate ProxiedMail for its seamless email management, robust security, and ease of use. They love the ability to create unlimited email aliases, the option to use custom domains, and the reliable email forwarding. Some users have reported minor issues with emails landing in spam and a banner appearing in forwarded emails. However, with an overall rating of 4.6 and positive feedback from 76 reviews, ProxiedMail is a solid buy for those seeking to manage their email identity with ease and security. With a 3-day log retention period for message resending in case of failure, it's worth giving it a try.'

Visit product View on AppSumoApr 24, 2025

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Actual performance

76reviews

Made the leaderboard

Launch Intel predictions

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

88%88% 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.

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

77%77% predicted probability of success on AppSumo, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

48%48% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

44%44% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released

38%38% predicted probability of success on Hacker News, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

15%15% 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

10%10% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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