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Saveji Gaden – send emails via API like a breeze

Hacker News

Saveji Gaden – send emails via API like a breeze

I'm Yusuf and I'm freelancing from France since 2016 I had to deal several times with emailing while coding landing pages / websites for my clients (contact forms, etc), like most of the front-end devs. That's why I've built this app, mainly for myself and I thought it could be useful for other devs too. It's a simple API that you can use to send emails from your front-end code, without having to deal with SMTP, etc. Simple features, dev oriented with an user friendly UI. It's different from Sendinblue, mailchimp or mailjet, it's just about sending an email to a desired address via an API. Simple and easy. It's free for personal use and you can use it up to plan limits, but if you want to use it for your business with custom features, you can subscribe to a paid plan I'll launch soon. [It's actually in beta for testing purposes] I'm looking for feedbacks, so don't hesitate to try it and tell me what you think about it. Thanks for reading, and a happy new year !

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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: user, new, email · Missing: mac, agents, macos
92%92% 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
81%81% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
TrustMRRFits verified-revenue profile · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
59%59% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Missing: https docs, excited, just released
48%48% 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: friendly, user friendly, soon · Missing: plus, platform, intuitive
47%47% 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
17%17% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Strong signals: paid · 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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