B

Bill Impact Wallet Calculator

3.40

Derivation Chain

Step 1 Seo Myeong-ok ethics committee complaint
Step 2 National Assembly legislative activity
Step 3 How proposed bills would change my taxes, welfare, and contributions if passed
Step 4 Specific financial impact simulation

Problem

A 55-year-old Self-employed person has no way to calculate how much their taxes, insurance premiums, and pension contributions would actually change if pending tax reform bills, health insurance premium restructuring proposals, or National Pension reform bills currently under debate in the National Assembly were passed. News reports only cite 'average impact,' and the National Tax Service and health insurance simulators only work with current law. As a result, people cannot determine which bills are advantageous or disadvantageous to them and remain passive bystanders.

Solution

Enter your income bracket, occupation type, Real Estate holdings, and family composition, and the service simulates how much your annual financial burden would change if key pending tax and social insurance bills in the National Assembly are passed. It provides a pros/cons summary for each bill along with links to submit your opinion (e.g., through the National Petition portal).

Target: Ages 50-60, Self-employed individuals who pay comprehensive income tax or pre-retirees with financial income, taxpayers who are sensitive to tax law changes but lack the ability to calculate impacts themselves
Revenue Model: Free: impact simulation for top 3 bills. Paid: all pending bills + custom alerts + detailed Report PDF at 5,900 KRW/month (~$4.50/month)
Ecosystem Role: Consumer
MVP Estimate: 1_month

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
2.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (50%)

Tech Complexity
19.3/40
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.

Market Validation (56/100)

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
5.0/10
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

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