B
Hidden Eligibility Finder for Government Subsidies for People in Their 50s
2.50
Derivation Chain
Step 1
Interest in applying for Earned Income Tax Credit
→
Step 2
Many government subsidies and reductions missed by people in their 40s-60s
→
Step 3
Integrated eligibility diagnosis for hidden benefits based on one's conditions + application deadline alerts
Problem
For employees or self-employed individuals in their 50s, there are over 20 types of government subsidies, tax reductions, and welfare benefits they may be eligible for, including Earned Income Tax Credit, Child Tax Credit, National Pension additional contributions, Health Insurance Premium reductions, local government lifelong education vouchers, and National Health Checkups. However, each is managed by different ministries and application websites, and eligibility requirements are complex, making it practically impossible to grasp the full picture of what benefits one can receive. Government24's 'Subsidy24' exists but has inaccurate eligibility determination, and people often miss application deadlines, forgoing hundreds of thousands to millions of KRW (approx. $75 to $6,750) in benefits annually.
Solution
On the web, users input age, income, assets, household size, employment status, and residential area once. The tool collectively diagnoses eligibility for 20+ types of government subsidies, reductions, and benefits targeting people in their 50s. For each eligible item, it organizes expected benefit amount, application method, and deadline, and sends email/KakaoTalk reminders 30 days before deadlines. It re-diagnoses eligibility quarterly to reflect policy changes.
NUMR-V Scores
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. |
N=.15 U=.20 M=.15 R=.30 V=.20
Feasibility (52%)
Data Availability
20.8/25
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 (61/100)
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
Frontend [medium]
Backend [high]
Data Pipeline [medium]