A

My Multi-Home Tax Scenario

3.70

Derivation Chain

Step 1 Multi-homeowner regulation as a political issue
→
Step 2 Unclear tax burden for multi-home ownership
→
Step 3 Optimal capital gains tax and comprehensive real estate tax scenarios based on selling order

Problem

When a multi-home owner in their late 50s wants to liquidate real estate before retirement, calculating which home to sell first to minimize capital gains tax and comprehensive real estate tax requires checking data from three sources—the National Tax Service, WETAX, and the registry office—and consulting a tax accountant (costing 200,000 to 500,000 KRW per session, approximately $150 to $375). A wrong selling order can result in tens of millions of KRW in additional capital gains tax, but without a simulation tool, they rely on intuition or pay for professional advice.

Solution

A web service that, when you input your real estate information (acquisition date, acquisition price, current market value), compares scenarios of capital gains tax, comprehensive real estate tax, and health insurance premium changes by selling order. Key features: (1) comparison table of after-tax proceeds by selling order combinations, (2) automatic calculation of when the one-household-one-home tax exemption requirements are met, (3) visualization of year-by-year changes in comprehensive real estate tax and health insurance premiums. Differentiator: pre-simulation before tax accountant consultation allows you to refine your questions, saving consultation costs and time.

Target: Employees aged 55-62, owning 2-3 homes, planning to retire within 3-5 years, and holding real estate jointly with a spouse.
Revenue Model: Free simulation for up to 2 properties. For 3 or more properties or joint ownership analysis, 9,900 KRW per transaction (approximately $7.40). Brokerage fee when connecting with a tax accountant.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.8/25
MVP Timeline
20.0/20
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 (70/100)

Competition
10.0/20
Market Demand
20.0/20
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 [medium] Data Pipeline [low]
Dashboard