B

Local Government Lifelong Learning Class Vacancy Alert

3.05

Derivation Chain

Step 1 Education public data API
→
Step 2 Lifelong learning and self-development interest among people in their 50s
→
Step 3 Problem of missing registration for popular classes at local government and district lifelong learning centers due to fast closing
→
Step 4 No way to know about cancellation vacancies in real time

Problem

People in their 50s want to take culture, liberal arts, and health classes (calligraphy, yoga, English conversation, smartphone usage, etc.) at district offices, community centers, and lifelong learning centers, but popular classes close within minutes of registration opening. Even if cancellations create vacancies, users must constantly check the website to find out, and monitoring multiple institutions' classes simultaneously requires checking 5-6 sites daily.

Solution

Automatically collect class information from major local government lifelong learning centers in Seoul, Gyeonggi, etc. When users register their interested classes, regions, days, and time slots, they receive immediate alerts when vacancies occur. It also compares similar classes across institutions and recommends alternatives.

Target: Aged 50-65, with 1-2 days of free time per week, residing in the Seoul metropolitan area or major cities, with prior experience or intention to take lifelong learning classes.
Revenue Model: Free alerts for up to 3 interested classes, unlimited alerts + integrated search across multiple institutions + enrollment history management for 1,900 KRW/month (approx. $1.43).
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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 (73%)

Tech Complexity
34.7/40
Data Availability
18.8/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
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

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