B

Real Estate Liquidation Sequence Planner

2.95

Derivation Chain

Step 1 Real Estate and financial rebalancing
→
Step 2 Inability to compare reverse mortgage vs sale vs rental conversion
→
Step 3 Lack of knowledge about optimal disposal sequence despite tens of thousands of dollars in tax differences

Problem

For asset holders aged 55-65 with 80% of their wealth tied up in Real Estate (1-2 apartments, commercial properties/land), generating retirement living expenses requires liquidating properties. However, the order of disposal can create a 20-50 million KRW (~$15,000-$37,500) difference in combined capital gains tax + comprehensive income tax + health insurance premiums. For example, selling commercial property first then the apartment under single-home tax exemption dramatically reduces taxes, but reversing the order triggers multi-home ownership surcharges. Optimizing this sequence through a financial planner costs 1-3 million KRW (~$750-$2,250) in consultation fees.

Solution

Users input their Real Estate portfolio (type/acquisition date/purchase price/current market value/outstanding mortgage) and annual living expense needs on the web. The system simulates capital gains tax, comprehensive income tax, health insurance dependent status loss, and reverse mortgage payout amounts for every possible disposal sequence combination, recommending the optimal order. Displays year-by-year cash flow tables and tax difference comparison tables for each sequence.

Target: Household heads aged 55-65 owning 2+ properties, considering Real Estate liquidation for retirement, finding financial planner consultation fees burdensome
Revenue Model: Basic simulation (up to 2 properties) Free, 3+ properties + reverse mortgage integration + year-by-year cash flow table PDF at 9,900 KRW (~$7.40) per transaction, Annual Subscription at 49,000 KRW (~$37)
Ecosystem Role: Supplier
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
4.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
V Validation
3.0/5
NUMR-V Scoring System
N Novelty1-5How uncommon the service is in market context.
U Urgency1-5How urgently users need this problem solved now.
M Market1-5Market size and growth potential from proxy indicators.
R Realizability1-5Buildability for a small team with realistic constraints.
V Validation1-5Validation signal quality from competition and demand data.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (58%)

Tech Complexity
24.7/40
Data Availability
20.8/25
MVP Timeline
12.0/20
API Bonus
0.0/15
Feasibility Breakdown
Tech Complexity/ 40Difficulty of core implementation stack.
Data Availability/ 25Practical availability and cost of required data.
MVP Timeline/ 20Expected time to ship a usable MVP.
API Bonus/ 15Bonus for viable public API leverage.
Total 100 points; below 50% is filtered out.

Market Validation (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
Validation Breakdown
Competition/ 20Signal quality from competitor landscape.
Market Demand/ 20Demand proxies from search and mention patterns.
Timing/ 20Fit with current shifts in tech, behavior, and regulation.
Revenue Signals/ 15Reference evidence for monetization viability.
Pick-Axe Fit/ 15How well the concept serves participants in a trend.
Solo Buildability/ 10Practicality for lean-team implementation.
Total 100 points; below 50 is filtered out.

Technical Requirements

Frontend [medium] Backend [high] Data Pipeline [low]
Dashboard