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MailMark – Cold email tool where you own your domain and mailboxes

Hacker News

MailMark – Cold email tool where you own your domain and mailboxes

Hi, I'm Debasish from India — an electrical engineer working at a power plant, not a professional software developer. I've been building side projects since 2015, starting with Railify, an Android app back when Java was the only option. Over the years I accumulated a lot of domains — each with its own mailboxes for sales, support, updates, and so on. Managing all of them across different UIs became genuinely painful. That frustration led me to build MailMark. MailMark lets you add your domains (abc.com, xyz.io, etc.), create mailboxes under them (sales@, founder@, marketing@), and manage everything from a single unified UI — think Gmail or Zoho, but for all your domains at once. On top of that: Lightweight tracking: see delivery status, opens, bounces — all from one window Bulk campaigns: each recipient gets an individual mail, not a CC blast — similar to how GMass works Developer API: send emails programmatically with an API key, similar to Resend There's a lot more in the product. Happy to answer any questions here. Check it out: https://www.mailmark.dev

Visit product View on Hacker NewsMay 24, 2026

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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

80%80% 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.

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

70%70% predicted probability of success on Product Hunt, 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

49%49% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

47%47% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

34%34% predicted probability of success on AppSumo, 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

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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