A real estate investor in Houston sees a promising duplex on Zillow. To evaluate the deal, she needs to: look up comparable sales in the area, estimate the after-repair value (ARV), calculate renovation costs, project rental income, and run cash flow analysis accounting for vacancy, maintenance, and property management. This process takes 2-3 hours per property. She analyzes 20 properties per week to find 1-2 worth pursuing. That's 40-60 hours per month on analysis — time she's not spending on actual deal-making.
Real estate investment analysis is tedious and manual. DealCheck (millions of downloads, $10-20/mo) proved the market with a calculator-style approach. PropStream ($99/mo) provides property data but separate analysis. The current tools feel like spreadsheets with better UX — you still manually input comp data, repair estimates, and rental assumptions.
The AI opportunity is automating data gathering and initial analysis. Feed an address, and the tool pulls comparable sales, rental comps, and property details automatically. AI estimates repair costs based on property age and condition. AI suggests offer price based on investor criteria. The output: a deal analysis report in 5 minutes instead of 2 hours. At $29-49/mo, positioned as '10x faster deal analysis,' this could capture investors frustrated with manual research.
💰 Revenue Blueprint
Three-tier value ladder to monetize from day one
10 instant analyses/mo, auto comp pulling, basic cash flow, PDF reports
50 analyses/mo, AI repair estimates, offer strategy, portfolio tracking, deal alerts
Unlimited analyses, team sharing, API access, custom deal criteria, advanced analytics
📊 Market Evidence
🏆 Competitor Landscape
How existing players stack up in this market
| Competitor | Pricing | Notes |
|---|---|---|
| DealCheck | Free / $10 / $20 per mo | Market leader. Calculator-style analysis. Millions of app downloads. Not AI-native. |
| PropStream | $99/mo | Data sourcing + property research. More expensive, broader scope. |
| Privy | Quote-based | Fix and flip focus. Deal finding + analysis. |
| REI-Vator | $49/mo | Rehab estimation. Construction focus. |
| Rehab Valuator | $49-99/mo | Fix and flip analysis. PDF reports. |
Market leader. Calculator-style analysis. Millions of app downloads. Not AI-native.
Data sourcing + property research. More expensive, broader scope.
Fix and flip focus. Deal finding + analysis.
Rehab estimation. Construction focus.
Fix and flip analysis. PDF reports.
🛠️ Recommended Tech Stack
Suggested tools and technologies to build this idea
Why this stack: Integrate property data APIs for automatic comp pulling. AI for repair cost estimation and ARV projection. Focus on speed to analysis.
Strengths
- ✓Proven market with DealCheck success, AI angle underexplored, clear pricing model
Score Breakdown
Good market signals with room for growth
Market (20%) + Revenue (20%) + Trend (15%) + Competition (15%) + Build (15%) + Pricing (15%)
🚀 Start Building
Copy a prompt into your favorite AI coding tool and start building this idea right now.
Build a SaaS product called "AI Real Estate Deal Analyzer". ## Product Overview Auto-pulls property data, comps, and market trends to generate instant investment analysis with ROI projections ## Problem Real estate investors manually gather data from multiple sources. Analysis takes hours per property. Miss deals due to slow evaluation. ## Solution Build AI Real Estate Deal Analyzer ## 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 DealCheck, PropStream, Privy, REI-Vator, Rehab Valuator ## 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.