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Workflow for

I want to build an AI SaaS

AI SaaS Starter

A zero-cost path from idea to a deployed AI product: one API for every model, retrieval over your data, agent memory, and one-command deploy.

$0 to start 45 min
  1. 1

    LLM API

    OpenRouter

    One key for every model — swap between free and frontier without code changes.

    openrouter.ai
  2. 2

    Fast inference

    Groq

    Drop in for latency-sensitive calls; the free tier is genuinely usable.

    groq.com
  3. 3

    RAG

    LlamaIndex

    Ingest and query your own data — the retrieval layer that grounds answers.

    llamaindex.ai
  4. 4

    Vector DB

    Chroma

    Store embeddings in-process to start; no separate service to run.

    trychroma.com
  5. 5

    Memory

    Mem0

    Give users persistent, personalized agent memory across sessions.

    mem0.ai
  6. 6

    Auth

    Clerk

    Drop-in sign-in and user management so you skip building auth.

    clerk.com
  7. 7

    Database

    Supabase

    Postgres, storage, and realtime with a generous free tier.

    supabase.com
  8. 8

    Deploy

    Railway

    Push the backend and databases live without touching DevOps.

    railway.com

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