Emporium – An Open Source Shopify Alternative for Creators

Hacker News

Hi HN I've been building *Emporium*, a fully open source and self-hostable eCommerce platform designed for creators, artists, therapists, solopreneurs, and independent sellers who want to run their own store — *without monthly fees or vendor lock-in*. --- ### Tech stack (briefly): - *Frontend*: React + TailwindCSS + Zod + ShadCN UI - *Backend*: FastAPI + PostgreSQL + Pydantic models - *Form engine*: JSON-driven admin forms auto-synced with backend models - *AI integration*: Optional local assistant via ShellGPT + Ollama - *Deployment*: Docker with `sacred-run-all.sh` (1-line bootstrap) --- ### Why Emporium? I built this because most eCommerce platforms are: - Expensive (SaaS monthly plans) - Closed-source or bloated - Not made for small, mission-driven creators *Emporium* is: - Light, fast, and modular - Based on simple JSON configs for UI/admin - Easy to host locally or on your own VPS - Designed for clarity and customizability --- ### Links *GitHub Repo* → [ https://github.com/DOMINUS-SILENS/COMMERCIUM ]( https://github.com/DOMINUS-SILENS/COMMERCIUM ) --- This is still a work in progress — I'd love feedback from the community. Try it out, clone it, fork it, break it. Ideas and contributions welcome! Let me know if you'd like to help build plugins, payment modules, or local-first features. 𓂀 Built with open source spirit and sacred commerce in mind.

Visit product View on Hacker NewsJul 20, 2025

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Actual performance

2points

Did not reach leaderboard

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

92%92% 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: model, dock, models · Missing: mac, agents, macos

84%84% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: open source, llama, ide · Missing: https docs, excited, just released

50%50% 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 · Strong signals: month, monthly · Missing: mobile apps, ios, personal

39%39% 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 · Missing: plus, intuitive, reviews

39%39% 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, shopify · Missing: arr, mrr, revenue

16%16% 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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