I built a tool that diagnoses your email deliverability

Hacker News

As you may know, Google is rolling out bulk sender guidelines that go into effect Feb 1 (that’s this Thursday) Your deliverability could be impacted so we made this tool. Here’s how it works: 1. Send an email to the generated email address 2. Review your results That’s it. The generated /results page is also accessible publicly so you can share with your team in case you're not the one with permission to add or modify records. You can view an example of a passed test here: https://bounce.doctor/results/example We currently check for valid DKIM, DMARC, SPF, List-ID and One-click Unsubscribe. We plan to extend this tool in the future as well but it will remain free and accessible without an account.

Visit product View on Hacker NewsJan 30, 2024

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Actual performance

4points

Did not reach leaderboard

Launch Intel predictions

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Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released

63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntOn track for Day 1 leaderboard · Strong signals: google, email · Missing: mac, agents, macos

62%62% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

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

60%60% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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.

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

37%37% 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

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

2%2% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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