Functional DemoAnalytics System

Real Estate Exit Strategy Simulator

Enter a property once and compare flip, hold, Airbnb, seller finance, BRRRR, and wholesale exits side by side.

Exit Simulator dashboard for Demo Acquisitions with total deals, average Deal DNA score, and active opportunities tiles, a best-opportunities card for 123 Maple Street, and a pipeline panel.
Exit Simulator dashboard

What it solves

Most real estate investors analyze deals in spreadsheets or single-purpose calculators, modeling one strategy at a time. That is slow, uses inconsistent assumptions, and leads to poor decisions. Investors do not just need to know whether a deal works; they need to know which exit strategy works best and what could make it fail.

Built for Real estate investors, house flippers, buy-and-hold and BRRRR investors, short-term rental operators, wholesalers, and small acquisition teams.

Overview

The user enters one property acquisition, and the system models seven exit strategies (flip, long-term hold, Airbnb/STR, seller finance, BRRRR, BRRRR repeat, and wholesale fallback), each returning net profit, cash flow, cash required, ROI, capital recovery, risk, and a deal score. A winner engine ranks strategies against the investor's chosen goal and explains why the top strategy wins, producing a primary/backup/emergency exit stack and a 0-100 Deal DNA Score. A sensitivity simulator stress-tests assumptions live, a risk heat map grades category risks, and users can export an investor-grade report. AI explanations are grounded strictly in stored assumptions and calculated outputs.

What this demonstrates

It proves a suite of deterministic, isolated, testable financial calculation engines for seven distinct strategies plus a ranking layer that weights outputs by investor goal, real-time sensitivity recalculation, and grounded AI narrative that never invents numbers. It also implements subscription tiers and PDF report generation.

What makes it different

This is not a basic calculator. It is a decision engine: enter one property once and instantly compare every exit strategy side-by-side to know the best move before you buy.

  • Never output on invalid assumptionsNo financial results from missing or invalid required inputs.
  • Never fail silentlyCalculations do not silently break.
  • Never hide riskCritical risk warnings are always shown.
  • AI never invents numbersAI uses only stored assumptions and calculated outputs.
  • Calculation logic is isolatedEngines are deterministic, testable, and separate from the UI.

Core capabilities · 15

  • Flip Engine

    Models net profit, ROI, break-even resale, and maximum allowable offer.

  • Long-Term Hold Engine

    Models cash flow, cap rate, DSCR, equity, and loan paydown.

  • Airbnb / STR Engine

    Models net revenue, occupancy break-even, and furnishing payback.

  • Seller Finance Engine

    Models note income, balloon value, and risk-adjusted return.

  • BRRRR Engine

    Models capital recovered, cash left in deal, and infinite-return flag.

  • BRRRR Repeat Engine

    Projects repeatable acquisitions, portfolio size, and capital velocity.

  • Wholesale Fallback Engine

    Models assignment fee, buyer max offer, and emergency exit value.

  • Strategy Winner EngineStrategy Winner Engine

    Ranks and explains the best strategy by investor goal.

  • Deal DNA ScoreDeal DNA Score

    Scores overall deal quality 0-100 across eight components.

  • Exit Stack RecommendationExit Stack

    Produces primary, backup, emergency, and avoid exits.

  • Investor Goal Mode

    Re-ranks strategies by profit, cash flow, capital recovery, or risk.

  • Risk Heat Map

    Grades rehab, financing, refinance, resale, and liquidity risk visually.

  • Sensitivity Simulator

    Live sliders that restress assumptions and update rankings.

  • Reporting Engine

    Generates lender- and partner-ready deal reports.

  • AI Explanation Layer

    Explains the deal and what could break it using real numbers only.

How it works

  1. Create a deal with property, price, ARV, rehab, and financing
  2. System models all seven exit strategies
  3. Each strategy returns profit, cash flow, ROI, and risk
  4. Strategies ranked by selected investment goal
  5. App explains why the winning strategy won
  6. Adjust assumptions with sliders to stress-test
  7. Rankings update live
  8. Export a lender or partner decision report

How the score works

Deal DNA Score

  • Margin strength

    Profit margin relative to project cost.

  • Cash flow strength

    Monthly and annual cash flow quality.

  • Capital efficiency

    Cash required versus returns produced.

  • Debt safety

    Sensitivity to financing and rate exposure.

  • Refinance viability

    Whether a refinance realistically recovers capital.

  • Exit flexibility

    Number of viable fallback exits.

  • Downside protection

    Resilience if assumptions worsen.

  • Assumption confidence

    Strength of the underlying market assumptions.

Key screens

  • DashboardDeal overview and entry point.
  • Deals ListSaved deals and drafts.
  • New DealGuided property and assumption input.
  • Deal CockpitWinner card, comparison grid, exit stack, and risk heat map.
  • Sensitivity SimulatorSlider-based live stress testing.
  • Report ExportInvestor-grade PDF and shareable report.
  • Team WorkspaceComments, roles, and pipeline stages.
  • SettingsAccount, billing, and branding.

Data model

  • User
  • Organization
  • Deal
  • DealAssumption
  • FinancingProfile

Screens · 4

Deal analysis for 123 Maple Street showing a Deal DNA Score of 79 and a Best Strategy panel recommending Seller Finance with net profit, cash flow, cash required, cash-on-cash, and IRR metrics.
Deal DNA and best strategy
Strategy comparison grid of seven exit strategies (Seller Finance, Long-Term Hold, Flip, Airbnb/STR, BRRRR, BRRRR Repeat, Wholesale) each with net profit, cash required, cash flow, COC, risk, and goal-fit score.
Strategy comparison
Deal detail lower section with an Exit Stack of primary/backup/emergency/avoid strategies, a color-coded risk heat map, a sensitivity simulator with assumption sliders, and AI explanation buttons.
Exit stack, risk map, and sensitivity
Deal assumptions side panel over the deal view with editable property basics, acquisition, rehab, and financing fields such as purchase price, rehab budget, loan type, and interest rate.
Deal assumptions panel

How it is built

A Next.js/React app with calculation logic in dedicated service modules, backed by Postgres through Prisma. Custom JWT sessions handle auth; Stripe (optional, with a demo-mode fallback) powers subscription billing; Resend sends transactional email; Upstash Redis provides optional distributed rate limiting; and an optional Anthropic key drives grounded AI explanations.

APIs and services

Anthropic
Resend
Stripe
Upstash

Classification

Industries
Real Estate

Related work

An AI-assisted labor capacity simulator that models the workforce needed to hit a production goal.

Location intelligence that scores ZIP codes by industry-specific expansion opportunity.

Building something with similar Financial Modeling, Analytics, Dashboards functionality?

Start a project and reference this one — the conversation begins with what you have already seen.

Start a project