In

Inbound Email (SMTP) to Webhook

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Inbound Email (SMTP) to Webhook

Here's my first (hopefully of many) open source release. A minimal script to receive emails via SMTP, parse content (including headers), store attachments in Amazon S3, and forward email content to a webhook. I use it to power DMARC report storage and email content testing. Some of the big email API providers have inbound APIs but costs can rack up fast if you're using them at scale. Hence why I built this. https://github.com/sendbetter/inbound-email Features - SMTP server to receive emails concurrently - Parses incoming emails using mailparser - Uploads attachments to Amazon S3 - Forwards parsed email content to a specified webhook - Configurable via environment variables - Handles large attachments gracefully - Queue system for processing multiple emails and webhook requests simultaneously

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Actual performance

5points
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Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, using, apis · Missing: mac, agents, macos
84%84% 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 · Strong signals: including · Missing: supports, reddit linkedin, podcasting
61%61% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: open source, ide, including · Missing: https docs, excited, just released
50%50% 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
46%46% 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
36%36% 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
19%19% 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
4%4% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

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