AI Micro-SaaS Boilerplate

Launch AI SaaS 50 hours faster (FastAPI + Next.js + Frappe)

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Launch AI SaaS 50 hours faster (FastAPI + Next.js + Frappe)

0 followers

Building AI SaaS products still takes too long. This started as a GitHub OSS bounty — I used an AI agent to connect FastAPI with Frappe. But most time wasn’t spent on ideas, it was spent on setup. So I turned everything into a reusable boilerplate. Includes: - FastAPI backend (AI-ready) - Next.js frontend - LangChain integration - Built-in Frappe connector - Docker setup 👉 Saves 50+ hours of setup Live demo: https://ai-micro-saa-s--aiworkhackshop.replit.app/

Free

Launch tags:SaaS•Developer Tools•Artificial Intelligence

Launch Team

Viktor.comAn AI coworker that actually does the work

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Maker

📌

Hey everyone 👋 This project started as a simple goal: → complete a GitHub OSS bounty. While building a FastAPI ↔ Frappe connector using an AI agent, I realized I was spending way more time on setup than actual product building. Backend. Frontend. AI wiring. Docker. So instead of stopping at the PR, I turned everything into a reusable boilerplate. This is also my first time shipping something with an AI as a real co-pilot — planning, coding, and even helping with docs. The goal: → help builders skip 50+ hours of setup Would love to hear what you’d build with it 🚀

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5mo ago

Maker

One thing I kept noticing while building this:

the hardest part wasn’t the idea —

it was wiring everything together before you can actually ship.

Curious what part of the setup slows you down the most?

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5mo ago

Maker

Hey everyone! 👋 We are currently updating the main link on the post. In the meantime, please use this live working demo right here: https://ai-micro-saa-s--aiworkha...

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5mo ago

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5mo ago

Launching tomorrow 🚀 — looking for early feedback

Hey everyone

I m launching this on Product Hunt tomorrow.

It started as a GitHub OSS bounty where I used an AI agent to connect FastAPI with Frappe but I realized most of my time wasn t spent on ideas, it was spent on setup.

So I turned everything into a reusable boilerplate:

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