How I built an AI SaaS with Next.js, FastAPI, and Dokploy

Hey folks! 👋 As a solo developer building for the global market, balancing performance, shipping speed, and server costs is always a tricky triangle. Recently, I launched my new AI project, wan2-7.io, and I wanted to share the exact tech stack and architecture I used to bring it to life without breaking the bank. If you are looking to build a full-stack AI SaaS, I hope this breakdown saves you some time and headache. Let's dive in! 🚀 🛠️ The Tech Stack I needed a stack that allowed me to move fast on the frontend, handle heavy AI inference tasks smoothly on the backend, and keep hosting costs extremely low. Frontend: Next.js (App Router) + Tailwind CSS Backend: Python + FastAPI Infrastructure: Hetzner Cloud + Dokploy (Self-hosted PaaS) Database: PostgreSQL The Frontend: Next.js + Tailwind CSS For the user interface, Next.js is my go-to. Since wan2-7.io relies heavily on visual outputs and smooth user interactions, I needed something that handles state well while still being great for