FreeResend – Drop-In Resend Replacement Using Amazon SES

Hacker News

I built FreeResend after my email costs across multiple side projects started getting expensive with Resend (which I still think is fantastic, btw). *What it is:* A self-hosted, open-source alternative to Resend that uses Amazon SES for actual email delivery while maintaining 100% API compatibility. *Why it matters:* - 85% cost reduction (Amazon SES rates: $0.10/1k emails vs premium pricing) - True drop-in replacement - just set RESEND_BASE_URL env var - Auto-creates DNS records if you use Digital Ocean (optional) - Complete control over your email infrastructure *Technical stack:* - Next.js 15 + TypeScript - Direct PostgreSQL (no external DB services) - AWS SES SDK v3 - Digital Ocean API integration - Docker ready *The magic moment:* Add domain → auto-create 7 DNS records → sending emails in <60 seconds vs 15+ minutes of manual DNS setup. I've been running it in production across multiple projects for months. MIT licensed, well-documented, includes test scripts. *GitHub:* https://github.com/eibrahim/freeresend *Medium post:* https://medium.com/@eibrahim/introducing-freeresend-the-open...

Visit product View on Hacker NewsAug 26, 2025

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

85%85% 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: dock, email, using · Missing: mac, agents, macos

77%77% predicted probability of success on Product Hunt, 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

58%58% 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: host · Missing: plus, platform, intuitive

42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.

TrustMRRLess likely to generate early MRR · Strong signals: month · 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

15%15% 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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