A

Technical License Renewal Alert Service

3.90

Derivation Chain

Step 1 171 public APIs in the industry and employment sector
Step 2 License management issues for mid-to-senior technical license holders

Problem

50s technical workers hold multiple essential licenses such as construction safety engineer, electric engineer, and fire equipment engineer, but each has different renewal cycles (3-5 years), continuing education deadlines, and career reporting deadlines. Management agencies are dispersed (HRD Korea, Korea Fire Safety Institute, Korea Electric Association), so missing renewal deadlines leads to license suspension, making them unable to work on site and causing income loss of millions of won. Many 50s technicians miss 1-2 renewal deadlines each year.

Solution

On the web, users input their list of licenses and acquisition dates, and the service manages renewal deadlines, continuing education deadlines, and career reporting deadlines for each license in an integrated calendar. It sends step-by-step alerts (email/KakaoTalk) at D-90, D-30, and D-7, and automatically provides available continuing education schedules and application links at those times.

Target: 48-60 years old, holding 2 or more technical licenses in construction, electrical, fire, or safety fields, currently working on-site as technical professionals.
Revenue Model: Free for up to 3 licenses. Unlimited license management + KakaoTalk alerts + automatic education schedule matching: 2,000 KRW (approx. $1.50) per month. Advertising and partnership fees from continuing education institutions.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
5.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (77%)

Tech Complexity
34.7/40
Data Availability
22.5/25
MVP Timeline
20.0/20
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
10.0/10
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

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