AI Startup Ships MVP in 3 Weeks, Raises Pre-Seed
SpeedMVPs scoped the narrowest high-impact version of the product, then built a full-stack AI MVP in three weeks: a clean web app, an LLM-powered assistant grounded in the user's own documents via a RAG pipeline, authentication, billing, and analytics, deployed to production and ready to put in front of investors and design partners.
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3 Weeks
Timeline
Project Overview
1
What We Built
- SpeedMVPs scoped the narrowest high-impact version of the product, then built a full-stack AI MVP in three weeks: a clean web app, an LLM-powered assistant grounded in the user's own documents via a RAG pipeline, authentication, billing, and analytics, deployed to production and ready to put in front of investors and design partners.
2
The Challenge
- A two-person founding team had a sharp idea for an AI workspace assistant but no engineering muscle to build it. Investors wanted to see a working product, not slides. They needed a credible, demo-ready AI MVP fast enough to hit their fundraising window, without burning their tiny runway on a long build.
3
Our Solution
- LLM assistant grounded in user documents with a RAG pipeline and citations
- Streaming chat UI with conversation history
- Authentication, usage metering, and Stripe billing
- Admin and analytics dashboard for early traction signals
- Production deployment with monitoring and cost controls