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Loopletter: Open-source email marketing platform

Hacker News

Loopletter: Open-source email marketing platform

Hi, I started building Loopletter, an open-source email marketing platform built specifically for independent artists and creators. I've been using this for a while to run marketing campaigns for my own company. But due to the lack of time to update it i've decided to open it up under the MIT license so other people and industries can self-host, extend, or just learn from the codebase. What’s inside: - Full campaign builder (visual editor, reusable templates, optional Spotify-powered layouts) - Audience management tooling (imports, segmentation, consent workflows, list cleanup) - Queue-driven sending with AWS SES, BullMQ, and Redis — handles rate limits, retries, and deliverability feedback - Analytics dashboards with real-time metrics, campaign history, and basic attribution - Infrastructure scripts for Supabase, AWS EventBridge/Lambda, and Upstash Redis so you can set everything up from scratch Tech stack: Next.js, React 19, TypeScript, Tailwind, Clerk for auth, Supabase (Postgres) for storage, AWS SES + S3 for mail/asset delivery. The repo has docs, scripts, and a demo data sandbox because we know email platforms can be boring to set up without real content. Why open-source? Most tools in this space are either huge enterprise SaaS products or very marketing/sales oriented. Independent artists have different needs (merch drops, tour announcements, limited release windows) and usually lean on social platforms they don’t control. Email still converts best for them, but standing up a full stack is painful. We’d love to see small labels, agencies, and indie devs fork it, run it for their communities, or contribute features. I'm especially curious if this has potential to be something bigger. Repo link: https://github.com/createdbymax/Loopletter-Open-source-email-marketing-platform Production website: https://loopletter.co/ Happy to answer questions about the project, SES deliverability, or anything else related to running email at indie scale. Thanks for taking a look!

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Product HuntOn track for Day 1 leaderboard · Strong signals: email, visual, using · Missing: mac, agents, macos
97%97% 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: created, started · Missing: supports, reddit linkedin, podcasting
95%95% 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
57%57% 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
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform, host, builder · Missing: plus, intuitive, reviews
42%42% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Strong signals: saas · 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
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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