real-estate-analyzer

To analyze a real estate listing, you need structured inputs including listing details, comparable sales, and tax or insurance assumptions. The analysis runs comp-adjusted valuation, computes PITI and affordability, and models investment returns like cap rate, cash flow, and DSCR.

Key rental property underwriting metrics include the 1% rule for screening, cap rate, cash-on-cash returns, and DSCR for lender checks. You should also evaluate cash flow projections and BRRRR feasibility to determine if the investment meets your financial goals.

Neighborhood risk assessment involves pulling web data from sources like GreatSchools for education quality, crime mapping for safety trends, FEMA for flood risk, and walk score for walkability. This contextual data helps identify deal red flags and future development signals.

Yes, BRRRR feasibility and DSCR lender checks are part of standard investment underwriting. By inputting your financing assumptions and projected rental income, you can compute debt service coverage ratios and evaluate whether the property meets typical lender requirements.

Accurate property valuation requires comp data from sources like Redfin sold listings, Zillow ZHVI or ZORI indices, and county assessor records. These data points allow for adjustments based on size, bedrooms, and condition to estimate a property's fair market value.

The best way to get a buy, hold, or pass recommendation is through a structured analysis that evaluates listing condition, deal red flags, and investment metrics. This process outputs a plain-text verdict summary alongside an interactive map visualization with color-coded recommendations.