Mailfrom.dev – A Cheaper MailTrap Alternative

Hacker News

I built Mailfrom.dev to fullfill a necessity I've had for years.. A simple, affordable sandbox SMTP server that lets you test email flows (resets, onboarding, verifications) in dev/staging environments — without sending real emails to real users and that can be shared with other people and clients. Sure, there are other players in the space — but most are either way too expensive or require complex setups. I wanted something affordable and dead simple to use. Just check the pricing — you'll see what I mean. Stack: Laravel, Vue 3, shadcn, hosted on k3s on Hetzner, using AWS S3 and SES. Would love your thoughts or feedback — especially if you've struggled with email testing in staging like I have.

Visit product View on Hacker NewsApr 25, 2025

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Actual performance

3points

2comments

Did not reach leaderboard

Launch Intel predictions

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

96%96% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

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

83%83% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

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

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

42%42% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, users · Missing: plus, platform, intuitive

40%40% 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

24%24% 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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