A Modular Phoenix SaaS Starter Kit

Hacker News

Starting a new SaaS project with Phoenix is a genuinely fantastic experience, as anyone who's dived into it will tell you. The framework itself is robust, performant, and a joy to work with. However, as I've been building out my own SaaS ventures, I've noticed a recurring pattern: no matter how brilliant Phoenix is, you inevitably find yourself configuring the same fundamental aspects time and time again. Setting up authentication, user management, payment gateways, and all the essential plumbing feels like a familiar, if slightly tedious, ritual. That's precisely why I developed the Phoenix SaaS Kit. It's designed to eliminate that repetitive setup, letting you hit the ground running with a solid foundation. The beauty of it is its modularity – you can cherry-pick the features you actually need for your specific project. So, while Phoenix gives you the incredible power to build amazing software, my kit offers a shortcut, freeing you from the boilerplate configuration and letting you focus on what truly differentiates your SaaS. What's included: Phoenix LiveView with modern UI compon ents Comprehensive modular setup system User authentication system with registration/login oAuth with Google ready to use oAuth with Github ready to use Multi-tenancy with organizations and role-based access Payment processing integration (Stripe/LemonSqueezy/Polar) Blog system with admin interface via Backpex Error tracking and analytics integration AI/LLM integration capabilities via Langchain Rate limiting and security features Modern styling with Tailwind CSS and DaisyUI Design system admin page Background Job Processing Custom Haskoy font integration Legal pages (Privacy Policy, Terms of Service) Customisable, modular marketing components Development tooling and Claude AI integration Claude AI codereview Github Action Optimised Claude Code Sub-agents and commands One time purchase for unlimited uses by a single developer

Visit product View on Hacker NewsJul 27, 2025

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Did not reach leaderboard

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

89%89% 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: agents, agent, claude · Missing: mac, macos, cursor

87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: io · Missing: https docs, excited, just released

53%53% 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: google, way · Missing: mobile apps, ios, personal

34%34% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: interface · Missing: plus, platform, intuitive

30%30% 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, recurring · Missing: arr, mrr, revenue

14%14% 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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