Ra

Rapidmail – extremely simple transactional email sending

Hacker News

Rapidmail – extremely simple transactional email sending

Hi all, I just released the first version of rapidmail, a simple Python library that lets you generate and send transactional emails with the minimum of fuss: https://github.com/chris104957/rapidmail Rapidmail lets you send messages with an extremely simple Python one-liner: rapidmail.send_mail('# Hello, world!', 'subject', ['christopherdavies553@gmail.com']) Where this differs from using something like the AWS SES CLI is that rapidmail supports markdown syntax and placeholder insertion right out of the box. Rapidmail actually uses the Maildown API - a startup that I posted about here a few weeks ago. You can see that post here: https://news.ycombinator.com/item?id=19590646 Thanks for looking Chris

Visit product View on Hacker NewsApr 28, 2019

Actual performance

3points

Did not reach leaderboard

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

77%77% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

75%75% 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

51%51% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Product HuntUnlikely to reach the leaderboard · Strong signals: new, email, using · Missing: mac, agents, macos

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

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

42%42% 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

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

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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