Cl

Cllavio – Email Marketing and Email API platform built from scratch

Hacker News

Cllavio – Email Marketing and Email API platform built from scratch

Hi HN, I'm the solo founder of Cllavio, an email marketing + email API platform that I built from scratch. My goal was to create a simpler, faster, and more transparent alternative to typical email tools that hide essential features behind expensive tiers. Cllavio includes: - Email campaigns - SMTP + REST email API - Deliverability tools (SPF, DKIM, DMARC) - Bounce tracking - Analytics (opens, clicks) - Contact management - High-deliverability Postfix infrastructure on AWS If you’re into email infrastructure, Spring Boot, Postfix, or scalable messaging systems, I’d love your feedback or questions. Link: https://cllavio.com

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Actual performance

1points
Did not reach leaderboard

Launch Intel predictions

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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.
best fitHighest predicted score across all platforms for this description.
Product HuntOn track for Day 1 leaderboard · Strong signals: email, open · Missing: mac, agents, macos
69%69% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
47%47% 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: platform · Missing: plus, intuitive, reviews
44%44% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Missing: mobile apps, ios, personal
39%39% 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
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
3%3% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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