EV Subsidy Eligibility Checker

3.50

Derivation Chain

Step 1 Tesla European registration decline / BEV market growth

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Step 2 Expansion of EV purchase incentive policies

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Step 3 Increasing subsidy policy complexity

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Step 4 Automated subsidy eligibility determination

Problem

Korean EV subsidies vary by central government, local government, and manufacturer based on conditions like vehicle model, price, residence, and personal vs. business use — and they change annually. To determine their exact subsidy amount, consumers must cross-reference the Ministry of Environment website, local government announcements, and dealer inquiries, spending an average of 3–5 hours. Tens of thousands of cases per year miss subsidies entirely because they fail to act before local budgets are exhausted.

Solution

A web service where users input vehicle model, residence, intended use, and income to automatically calculate combined national and local subsidies. It tracks each municipality's remaining budget and projected exhaustion date in real time, recommending optimal application timing. Alerts are sent when remaining budget drops below 20%.

Target: Working professionals and Self-employed individuals aged 30–50 considering EV purchases, with annual income of 50–100 million KRW (~$37,500–$75,000 USD)

Revenue Model: Basic subsidy calculation free. Premium at 1,900 KRW/month (~$1.40 USD) for alerts + dealer quote comparison. Dealer lead referral at 30,000 KRW (~$22.50 USD) Per Transaction.

Ecosystem Role: Regulation

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

4.0/5

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 (68%)

Tech Complexity

29.3/40

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

16.0/20

Revenue Signals

4.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

8.0/10

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 [low] Data Pipeline [medium]

Dashboard