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Email Verification Tool for Accurate and Authentic Email Addresses

Hacker News

Email Verification Tool for Accurate and Authentic Email Addresses

This project is currently in early preview, and I have many ideas for future development. The main goal is to make it really simple to integrate into any webpage with just a few lines of JavaScript. It could be especially useful for registration flows where you want to block disposable emails, as they typically only receive emails and don’t allow sending. I'd really appreciate your feedback, especially if you find this tool useful!

Visit product View on Hacker NewsAug 20, 2024

Actual performance

3points

Did not reach leaderboard

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70%70% 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 · Missing: plus, platform, intuitive

52%52% predicted probability of success on AppSumo, based on ML models trained on real launch data.

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

39%39% 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

37%37% 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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

16%16% 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

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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