B

Empty Nest Housing Redesigner

3.00

Derivation Chain

Step 1 Single-household transition planning
→
Step 2 Housing downsizing simulation
→
Step 3 Post-downsizing surplus fund management + living expense redistribution integrated edition

Problem

A 57-year-old couple whose two children have moved out is considering downsizing from a 112㎡ (34-pyeong) apartment to a 79㎡ (24-pyeong) unit, but they can't determine the actual surplus funds after accounting for capital gains tax, acquisition tax, moving costs, and interior renovation expenses. A Real Estate agent only recommends selling, a Tax Accounting advisor only answers tax questions, and an interior company only provides quotes. Consulting all three separately costs 500,000-800,000 won (~$375-600) and 2-3 weeks, and the homeowner must integrate the results themselves.

Solution

Users input their current and target housing details (size, area, estimated sale/purchase price), and the service provides in a single view: (1) an integrated simulation of capital gains tax, acquisition tax, brokerage fees, and moving costs, (2) projected surplus funds with deployment scenarios (deposits/funds/Pension conversion), and (3) a livability comparison of nearby amenities (hospitals, supermarkets, parks, cultural facilities) for the new location.

Target: Couples aged 55-62, children fully independent, owning 100㎡+ apartments, considering housing downsizing, with one or fewer previous property sale experiences
Revenue Model: Basic tax and cost simulation free. Customized downsizing Report (including tax optimization scenarios) PDF at 9,900 won (~$7.40) Per Transaction. Execution checklist (sell → buy → move timeline) at 3,900 won (~$2.90).
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
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 (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 (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

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