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Sidemail – Email platform for SaaS (email API, newsletters, automation)

Hacker News

Sidemail – Email platform for SaaS (email API, newsletters, automation)

Hi all! I'm Kristyna, maker of Sidemail. I'd love to share with you what we've been building. We built Sidemail because sending emails from a SaaS app was way harder than it should be. Sidemail is made for developers and teams that want one simple place to handle SaaS emails with reliable delivery and no bloat. It has: - Everything for creating, managing and delivering SaaS emails in one platform, - Easy-to-use email API for sending password resets, receipts, etc. - Messenger for writing product updates and newsletters, - Email automations for onboarding and lifecycle flows, - Fast email delivery and reliable infrastructure, - Developer-focused features like detailed API logs, Markdown emails, simple domain verification and DKIM, and more. - No-code editor and premade email templates tested across all major inbox providers and devices. The whole integration process takes less than 30 minutes. If you want to try it out, there is a free trial. Quickstart docs here: https://sidemail.io/docs/email-sending-quickstart/ If you have any questions or thoughts to share, please do tell! We’re happy to improve further. Thanks! Kristyna

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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Product HuntOn track for Day 1 leaderboard · Strong signals: new, inbox, email · Missing: mac, agents, macos
87%87% 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
86%86% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
63%63% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
AppSumoStrong fit for a featured deal · Strong signals: platform · Missing: plus, intuitive, reviews
58%58% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: way · Missing: mobile apps, ios, personal
48%48% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · Missing: arr, mrr, revenue
22%22% 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.

Incorrect prediction on native model

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