B

Downsizing Comprehensive Simulator

3.70

Derivation Chain

Step 1 Real Estate downsizing and relocation decision support
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Step 2 Limitations of calculating capital gains tax, acquisition tax, and comprehensive property tax individually
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Step 3 Lack of tools to compare tax + pension + living infrastructure + health insurance premium changes holistically

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

Problem

After children become independent, couples aged 50-63 looking to sell their Seoul apartment (approx. 1,000 sq ft, valued at approx. $600,000-$1,125,000) and relocate to outer suburbs or smaller cities must check capital gains tax (holding period, single-home tax exemption requirements), acquisition tax on the new home, health insurance premium changes (property-based recalculation), comprehensive income tax impact when receiving National Pension/Retirement Pension, and destination area hospital/transit/amenity accessibility—all on different websites. Between real estate agents (one each for selling and buying), Tax Accounting consultation (approx. $225-$375), and site visits (2-3 trips), they spend an average of 6 months and approx. $1,500-$3,000, yet still make the decision without knowing exactly 'how much monthly living costs will actually decrease after relocating.'

Solution

Users input current home details (size, market value, holding period) and 3 desired relocation areas on the web, and the system compares in a single table for each area: (1) estimated capital gains tax and acquisition tax, (2) estimated monthly health insurance premium change, (3) comprehensive income tax impact on pension income, and (4) hospital/public transit/grocery accessibility scores. It shows the 'current monthly fixed costs vs. post-relocation monthly fixed costs' difference on a monthly basis and calculates the break-even point for 'how many years until relocation becomes financially advantageous.'

Target: Couples aged 50-63, children independent, owning a large home (1,000+ sq ft in Seoul metro), considering downsizing or regional relocation
Revenue Model: Free: 1 area basic comparison. Paid (approx. $5.90 per transaction): 3-area detailed comparison PDF, monthly fixed cost simulation, break-even analysis
Ecosystem Role: Consumer
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (65%)

Tech Complexity
24.0/40
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.

Market Validation (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
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.

Technical Requirements

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