Regional Startup Settlement Cost Calculator

2.85

Derivation Chain

Step 1 Regional settlement-oriented talent development / Everyone's Startup project

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Step 2 Regional relocation settlement support services

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Step 3 Region-by-region living and business cost comparison tool

Problem

People in their 30s–40s considering relocation from the Seoul metropolitan area to Gangwon or other non-capital regions for entrepreneurship struggle to assess actual settlement costs (housing, education, healthcare, transportation, commercial leases). Local government promotional materials highlight only the positives, and researching actual living costs requires checking 10+ separate sites for Real Estate, tutoring academies, hospitals, etc. — a process taking 2–4 weeks.

Solution

A web app where users enter their target region (city/county/district) and household composition (number and ages of children) to get an integrated calculation of housing costs (Jeonse (Lease Deposit)/Monthly Rent/purchase), education expenses (tutoring/childcare), healthcare accessibility, commercial lease rates, and transportation costs — visualized as a monthly net cost difference compared to their current residence, including local government relocation subsidies and tax incentives for a total net settlement cost.

Target: Seoul metropolitan area residents in their 30s–40s (employees or prospective entrepreneurs) considering non-capital region relocation, 2–4 person households

Revenue Model: Premium: basic comparison Free (3 regions); detailed Report (with subsidy matching and tax simulation) at 49,000 KRW (~$37) Per Transaction.

Ecosystem Role: Consumer

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

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 Novelty	1-5	How uncommon the service is in market context.
U Urgency	1-5	How urgently users need this problem solved now.
M Market	1-5	Market size and growth potential from proxy indicators.
R Realizability	1-5	Buildability for a small team with realistic constraints.
V Validation	1-5	Validation signal quality from competition and demand data.

SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (63%)

Tech Complexity

24.0/40

Data Availability

18.8/25

MVP Timeline

20.0/20

API Bonus

0.0/15

Feasibility Breakdown

Tech Complexity	/ 40	Difficulty of core implementation stack.
Data Availability	/ 25	Practical availability and cost of required data.
MVP Timeline	/ 20	Expected time to ship a usable MVP.
API Bonus	/ 15	Bonus for viable public API leverage.

Market Validation (50/100)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

7.0/10

Validation Breakdown

Competition	/ 20	Signal quality from competitor landscape.
Market Demand	/ 20	Demand proxies from search and mention patterns.
Timing	/ 20	Fit with current shifts in tech, behavior, and regulation.
Revenue Signals	/ 15	Reference evidence for monetization viability.
Pick-Axe Fit	/ 15	How well the concept serves participants in a trend.
Solo Buildability	/ 10	Practicality for lean-team implementation.

Technical Requirements

Backend [medium] Frontend [medium] Data pipeline [medium]

Dashboard