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I made an affordable email verification service

Hacker News

I made an affordable email verification service

Hi HN! I wanted to share a project I've been working on for a while. As a developer, I've experienced the frustration of seeing email campaigns land in spam folders or bounce back due to outdated or invalid email addresses. Email still is a powerful outreach medium, and we shouldn't have the fear of getting blacklisted. Instead, we should focus on writing that great email. That's why I've created Heybounce. It is a fast and affordable email verification service with an API for developers and a no-code tool for list uploading and cleaning. It blocks fake signups (disposable emails). Removes inactive and invalid email addresses. Cleans spam-traps and honeypots. If you have any questions about the product or any feedback, feel free to write them below, and I’ll be more than happy to answer them. Website: https://www.heybounce.io

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Actual performance

2points
1comments
Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Strong signals: created · Missing: supports, reddit linkedin, podcasting
82%82% 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.
Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released
66%66% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal
63%63% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Product HuntUnlikely to reach the leaderboard · Strong signals: email, code · Missing: mac, agents, macos
49%49% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
31%31% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: active · Missing: arr, mrr, revenue
12%12% 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.

Incorrect prediction on native model

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