A

Property Tax and Comprehensive Real Estate Tax Change Simulator

3.60

Derivation Chain

Step 1 Expansion of public administrative data openness
→
Step 2 Frequent changes in real estate holding tax system
→
Step 3 Multi-home owners in their 50s cannot predict actual tax payments due to annually changing rates and fair market value ratios

Problem

Real estate owners in their 50s-60s (especially those with 2+ homes) face property tax and comprehensive real estate tax that change annually based on the fair market value ratio, tax rate brackets, and official price fluctuations. To calculate the actual expected payment combining these three variables, they must consult a tax accountant (10,000-30,000 KRW per consultation, approx. $7.50-$22.50) or rely on the National Tax Service calculator (which only provides last year's rates). Especially when the government changes the fair market value ratio mid-year, the expected tax can vary by millions of won, but there is no tool to simulate this in advance.

Solution

Register your property address (or enter the official price directly) on the web, and it automatically calculates the expected property tax + comprehensive real estate tax based on current rates. It provides scenario simulations like 'What if the fair market value ratio rises from 60% to 80%?' or 'What if I sell one property?' and sends automatic recalculation alerts when official prices change annually.

Target: Aged 50-62, married, owning 1-3 apartments in the Seoul metropolitan area, considering asset reallocation around retirement.
Revenue Model: Free simulation for single-home owners. Detailed report for multi-home scenario comparison (sale/gift/corporate conversion) at 9,900 KRW per report (approx. $7.50). Tax accountant matching fee.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (70%)

Tech Complexity
29.3/40
Data Availability
20.6/25
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 (56/100)

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
7.0/10
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

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