B

Our Couple's Health Insurance Premium Tax-Saving Navigator

3.55

Derivation Chain

Step 1 Increase in early retirement due to AI paradox
→
Step 2 Health insurance transition after retirement
→
Step 3 Annual difference of several million KRW in health insurance premiums depending on which spouse is registered as a dependent

Problem

When one spouse in a 55-60 year old couple retires, they transition from workplace subscriber to regional subscriber. At this point, depending on the couple's assets (real estate, financial) and income structure, calculating which combination—'husband as dependent' vs 'wife as dependent' vs 'both as regional subscribers'—minimizes health insurance premiums is extremely complex. The National Health Insurance Service consultation only provides one scenario, and tax accountant consultations cost 150,000-200,000 KRW per case (approx. $112.50-$150). Depending on the combination of real estate official assessed value, financial income, and pension income, the difference can be 1,000,000-3,000,000 KRW per year (approx. $750-$2,250). Most couples in their 50s are unaware of this difference and switch in an unfavorable way, overpaying for years.

Solution

On the web, users input each spouse's income (employment, business, pension, financial), assets (real estate official assessed value, car, financial assets), and whether they meet dependent requirements. The system automatically calculates monthly health insurance premiums for all possible combinations and recommends the optimal one. It also provides a 3-year simulation reflecting future variables such as pension start date and real estate sale plans, showing the most advantageous long-term strategy.

Target: Couples aged 55-62, with at least one spouse planning to retire or recently retired, owning at least one apartment, and holding financial assets of 50 million KRW or more (approx. $37,500).
Revenue Model: Basic one-time comparison is free. 3-year simulation report PDF: 5,000 KRW per report (approx. $3.75). Commission for connecting tax accountant and health insurance expert consultations.
Ecosystem Role: Regulation
MVP Estimate: 1_month

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
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 (56%)

Tech Complexity
24.7/40
Data Availability
19.2/25
MVP Timeline
12.0/20
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 [high] Data Pipeline [low]
Dashboard