A

Property Holding Tax Simulator

4.55

Derivation Chain

Step 1 Surge in official property prices
→
Step 2 Increased property holding tax burden
→
Step 3 Holding tax scenario simulation tool

Problem

With Seoul's official property prices surging 18.7%, multi-homeowners and high-value apartment owners find it hard to predict their holding tax burden. Tax accountant consultations cost 100,000-300,000 KRW (~$75-$225) per case, and the National Tax Service calculator cannot simulate comprehensive property tax, local property tax, and health insurance premiums together, causing missed tax-saving decision timing. Every year during the March-June official price announcement season, millions of property owners face this issue.

Solution

Automatically reflect official price changes to simulate comprehensive property tax, local property tax, and health insurance premiums, and instantly generate comparison tables for tax-saving scenarios like sale, gift, or corporate conversion. Differentiated by automatic checks for joint ownership division, one-homeowner special cases, and other deduction conditions.

Target: Property owners in the Seoul metropolitan area with official prices of 900 million KRW (~$675,000) or more, multi-homeowners and prospective retirees in their 40s-60s.
Revenue Model: Premium SaaS: 29,000 KRW (~$22) per account per month, 20% discount for annual payment. Basic single-home simulation is free; multi-home and corporate scenarios are paid.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
5.0/5
R Realizability
5.0/5
V Validation
5.0/5
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 (68%)

Tech Complexity
29.3/40
Data Availability
18.8/25
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 (80/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
18.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
9.0/10
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