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Stop rebuilding. Start shipping.

I'll build your LangChain + FastAPI RAG backend in 7 days. $500 flat, source code yours, deployed.

Features

Prototype with v0, scale with us.

Production-ready Auth

JWT-based authentication with FastAPI middleware. No more 'Authentication Failed' loops or fragile mock auth.

RAG & Vector DB

Built-in integration with Qdrant/Chroma and persistent storage that doesn't wipe during deployments.

V0/Bolt.new Engine

Drop your v0 frontend exports directly into our production backend. We handle the heavy lifting while you focus on the UI.

Scaling Architecture

Multi-stage Docker builds, Redis caching, and Railway deployment config. The infrastructure decisions that cost three rewrites when you get them wrong — made upfront, so you don't.

Done For You

I build it. You ship.

May Cohort · 3 Slots

Done-For-You RAG Backend

Stop wiring LangChain + FastAPI for weeks. I ship a working RAG backend to your GitHub in 7 days.

What you get

  • LangChain LCEL RAG pipeline — your data, your vector store
  • FastAPI endpoints with JWT auth — register, login, protected routes
  • SSE streaming — real-time token output
  • Docker + Railway deploy — live in 15 minutes of getting credentials
  • Full source code — MIT license, yours forever

Fixed scope

  • ×No discovery calls
  • ×No scope creep
  • ×One revision round included
$500 flat · 50/50 payment split
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Free Guide

The Agentic Stack 2026

The infrastructure decisions that separate AI demos from products that survive real users. LangGraph, MCP, Agentic RAG, OTel, and the Sovereignty Stack. 5 chapters. No fluff.

Free — PDF delivered instantly
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About

We build tools that save
developers weeks of work.

Every product we ship is something we needed ourselves — battle-tested, well-documented, and ready for production. We skip the fluff and focus on the boilerplate that actually takes time to build right.

Supertute ships production-ready AI infrastructure to indie developers — so they can focus on their actual product instead of rebuilding the same boilerplate for the hundredth time.