Open sourcing my email sending startup

Hacker News

Hi all, I've posted a few times here about Maildown, a startup that I've been trying to validate lately. Due to lack of time to focus on this, I've taken the decision to abandon the project as a startup, but to make it available as an open source solution instead. The (still very basic) github repository is here: https://github.com/chris104957/maildown Maildown now exists as a simple CLI wrapper for Amazon SES which bakes in Markdown and styling support, making it much easier to get transactional mails up and running in any project Thanks for looking, Chris

Visit product View on Hacker NewsMay 8, 2019

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

80%80% 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

71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

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

61%61% 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

48%48% 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

29%29% 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

11%11% 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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