B
Reverse Mortgage vs. Sale Decision Calculator
3.90
Derivation Chain
Step 1
Real Estate & inheritance decision simulation
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Step 2
Post-retirement decision needed on how to monetize home equity
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Step 3
Compare 20-year cash flows across reverse mortgage vs. sell-and-Jeonse vs. downsizing scenarios
Problem
Retirees aged 60-68 who own a home (market value 500M-1.5B KRW / ~$375K-$1.1M) need to fund retirement living expenses from their property, but cannot compare whether a reverse mortgage (Jootaek Yeonkeum), selling and renting via Jeonse (Lease Deposit), or selling and downsizing to a smaller apartment is the better choice. The Korea Housing Finance Corporation's reverse mortgage calculator only shows monthly payout amounts and cannot provide a comprehensive 20-year cash flow comparison factoring in capital gains tax, acquisition tax, moving costs, and investment returns on a Jeonse deposit. A wrong decision can cost tens of millions of KRW in opportunity cost over 20-30 years of retirement.
Solution
Users enter their current home value, location, age, spouse's age, and required monthly living expenses on the web. The service generates year-by-year 20-year cash flow projections for 3 scenarios (reverse mortgage / sell-and-Jeonse / downsize), each factoring in capital gains tax, acquisition tax, moving expenses, brokerage fees, Jeonse deposit investment returns, and national health insurance premium changes. Differentiator: compares 'net assets remaining at age 80' across scenarios to provide a clear decision-making framework.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (58%)
Data Availability
20.8/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (58/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Frontend [medium]
Backend [high]
Data Pipeline [low]