Construction Estimating AI

Build a SaaS product called "Construction Estimating AI".

## Product Overview
AI-powered takeoff and estimating tool that reads blueprints, auto-calculates materials, and generates quotes for contractors

## Problem
AI-powered takeoff and estimating tool that reads blueprints, auto-calculates materials, and generates quotes for contractors

## Solution
Build Construction Estimating AI

## Target Audience
indie hackers, small businesses, and solopreneurs

## Tech Stack
- Next.js 15 (App Router) with TypeScript
- Tailwind CSS v4 for styling
- Supabase for auth, database, and storage
- Vercel for deployment
- shadcn/ui for UI components
- Framer Motion for animations

## MVP Features to Build
1. Landing page with clear value proposition
2. User authentication (sign up, sign in, forgot password)
3. Core product functionality based on the solution above
4. Dashboard for users to manage their data
5. Pricing page with at least 2 tiers (free + paid)
6. Basic settings/profile page

## Known Competitors
none identified

## Key Risks to Address
Standard market entry risks

## Deployment
1. Set up Supabase project and configure environment variables
2. Deploy to Vercel with `npx vercel --prod`
3. Set up custom domain
4. Configure Supabase RLS policies for security

## Instructions
Start by creating the project structure, then build the landing page first. Use server components where possible. Make it mobile-responsive from the start. Focus on getting the core value loop working before adding polish.