I Vibecoded a SaaS Landing Page with Google Gemini Free AI Tools — No Product, Just Validation

This tutorial demonstrates how to validate a SaaS idea quickly by building a research-backed landing page with AI tools rather than a full product. It shows structured research with Noble LM, outline and UI generation with Gemini and Google Stitch, and code generation and deployment with Google Antigravity and Supabase for email capture. Emphasis is on rapid validation, iterative design, and avoiding overbuilding.

– Structured research: Use Noble LM as a centralized notebook to gather, import, and synthesize sources so scattered research becomes a reusable foundation for decision-making.

– Landing-page-first validation: Brainstorm and produce a clear landing page outline with generative AI (Gemini/ChatGPT) to test demand before writing product code.

– Design to code workflow: Turn the outline into UI with Google Stitch, export a UI kit, then generate and refine production code in Google Antigravity.

– Lightweight backend and testing: Wire email capture to Supabase, run local tests, and use live signals from signups to decide whether to build an MVP or iterate.

Quotes:

Most ideas fail because no one validated the problem clearly enough.

A solo founder with AI can do most of the heavy lifting.

Test first and then build with confidence.