B

Illiquid Asset Division Planner

2.95

Derivation Chain

Step 1 Inheritance & gift simulation and family consensus tools
→
Step 2 Division challenges for households with illiquid assets (Real Estate)
→
Step 3 Cost comparison across execution scenarios: joint title, sale, exchange, etc.

Problem

70-80% of household assets for Koreans aged 50-70 are in Real Estate, which is inherently illiquid — you can't simply split a property in half. When inheriting or gifting, families must choose among complex methods: cash compensation, joint title registration, sale and distribution, or asset partitioning. Each method has vastly different acquisition tax, capital gains tax, gift tax, and registration costs, and the optimal approach changes based on the gap between market value and official assessed value. Even Tax Accounting professionals who don't specialize in Real Estate can't compare all scenarios, so families make decisions worth tens of millions of KRW (~tens of thousands of USD) difference based on intuition alone.

Solution

1) A comparison table showing total taxes and costs across division methods (joint title, compensatory partition, sale-and-distribute, equity gifting) when users input market value, assessed value, and outstanding mortgage per property 2) Feasibility filtering based on heirs' cash liquidity 3) Execution timeline and required document checklist for the selected scenario (registration, filing, payment)

Target: Ages 55-70 owning 2+ properties, or their prospective heirs, with low cash liquidity who want to divide assets without selling
Revenue Model: One property basic comparison free, multi-property complex scenarios at 39,000 KRW (~$29) Per Transaction, referral commission for connected legal/Tax Accounting professionals
Ecosystem Role: Infrastructure
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 (56%)

Tech Complexity
24.7/40
Data Availability
19.2/25
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

Real Estate division scenario comparison engine [high] Feasibility filter [medium] Execution timeline generator [low]
Dashboard