The Production AI SaaS Boilerplate Built for Python & ML Engineers.
Stop struggling with limited JavaScript AI wrappers. Keep your LangChain, DSPy, and custom PyTorch models in native Python FastAPI—paired with a sleek Linear-style Next.js 15 frontend, Supabase pgvector RAG, SSE token streaming, and Stripe metered billing.
See the Dual-Stack Engine in Action
Watch how a Next.js 15 client securely triggers a Python FastAPI SSE stream, queries pgvector with RLS, and records metered Stripe token usage in real time.
Why Other Approaches Fall Short for ML Engineers
Node.js boilerplates force you into weak JavaScript AI libraries. Streamlit apps don't look like real B2B software. AgentLaunch gives you the best of both worlds.
| Architecture Feature | Node.js Boilerplates | Streamlit / Reflex | AgentLaunchRecommended |
|---|---|---|---|
| AI / ML Library Ecosystem | Restricted to JS wrappers (LangChain.js lags behind) | Full Python, but trapped in clunky UI | Full native Python 3.12 (LangChain, DSPy, PyTorch, Hugging Face) |
| Frontend UI & User Experience | Modern React/Next.js | Streamlit / Gradio (Looks like internal data tools) | Linear-style Next.js 15 App Router + Tailwind & Framer Motion |
| Billing Model for AI Tokens | Flat monthly fee (High risk of token cost deficit) | No built-in billing | Automated Stripe Metered / Usage-Based Billing per token |
| Streaming Protocol | Custom WebSockets or polling | Session-state polling / rerenders | Sub-50ms Server-Sent Events (SSE) with token live-counter |
| Multi-Tenant Vector Isolation | App-level filtering (vulnerable to prompt leaks) | In-memory FAISS / Chroma (Single tenant) | Postgres pgvector with native Row-Level Security (RLS) |
| Zero-Trust Auth Bridge | NextAuth / Node sessions only | Basic HTTP basic auth or cookies | Supabase JWT validated cryptographically in FastAPI Depends |
Engineered for Separation of Concerns
No messy monolithic compromises. Keep your frontend fast and SEO-ready on Vercel while running your heavy AI workloads on high-throughput Python backends.
Next.js 15 Frontend
App Router & React Server Components. Manages sessions, handles SSR, renders the UI, and opens an SSE stream listener.
SSE & JWT Protocol
Zero-Trust authorization. Supabase JWT passed via Bearer header. Server-Sent Events stream tokens smoothly with sub-50ms TTFT.
FastAPI Python Runtime
Native Python 3.12 ecosystem. Executes LangChain, LlamaIndex, DSPy, or custom PyTorch models with Pydantic v2 validation.
Supabase + pgvector
PostgreSQL 16 with HNSW cosine distance indexing for ultra-fast vector similarity search, enforced by native Postgres RLS policies.
Everything You Need to Monetize AI Models
Engineered specifically for Machine Learning Engineers who want to launch enterprise-grade AI products without reinventing the full-stack wheel.
FastAPI 3.12 & Pydantic V2
Functional, strictly-typed Python backend. Enforces RORO pattern with full input/output validation, zero untyped dicts, and async I/O.
Sub-50ms SSE Streaming
Yields text/event-stream chunks directly to custom Next.js stream consumers. Smooth typing effect without UI blocking or web sockets overhead.
Zero-Trust Supabase JWT
FastAPI verifies Supabase Auth tokens cryptographically via FastAPI Depends injection. No unauthorized access to heavy AI GPU/API workloads.
PostgreSQL pgvector RAG
Store and query document embeddings with HNSW cosine distance indexing. Strictly protected by PostgreSQL native Row-Level Security (RLS).
Stripe Metered Billing
Calculates exact input and output tokens consumed during LLM requests and records metered usage in Stripe before stream closure.
Production Docker & Multi-Cloud
Optimized multi-stage Dockerfiles. Ready for 1-click deployment on Vercel (frontend) and Railway, Fly.io, Modal, or AWS ECS (backend).
Pay Once, Build and Monetize Forever
No recurring monthly subscriptions. Save 80+ hours of frustrating dual-stack wiring, JWT auth bridging, and token billing logic.
Perfect for indie hackers & ML engineers launching their first AI SaaS.
For AI agencies, startup teams, and serial builders shipping multiple models.
Everything You Need to Know
Have questions about the architecture, security, or licensing? We have answers.