Review of Awesome-Zero-Dollar-AI-Stacks
AI products have a chicken-and-egg cost problem: you need to ship something to know if it's worth paying for, but you can't ship without paying for LLM APIs, hosting, and infrastructure. The 'zero dollar AI stack' movement exists to solve this - a curated set of free-tier and open-source tools that let you build and validate AI products without spending money.
Awesome-Zero-Dollar-AI-Stacks is the canonical list. It covers every layer: LLM APIs (Gemini free tier, Groq free tier, OpenRouter free models), hosting (Vercel hobby, Cloudflare Pages, Fly.io free), vector databases (Supabase free, Pinecone free, Chroma local), embeddings (most LLM providers have free tiers), and tooling (Cursor free for students, etc.).
Most successful zero-dollar stacks combine: a free LLM API for inference (Groq is fast + generous), a free serverless platform for the backend (Cloudflare Workers or Vercel), a free Postgres or vector DB (Supabase), and free auth (Clerk or Supabase Auth). You can ship a real product with this stack and only pay when you have paying customers.
Domain names ($10-15/year). Apple Developer account if you ship iOS ($99/year). And once you scale past free tiers, you start paying for everything. But you can validate a business with zero upfront cost, which is the point.
Required reading for any indie hacker building AI products. The list is well-maintained, current, and pragmatic. If you can build and validate with zero dollars, you should - it forces you to focus on the product, not the infrastructure.
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