B

My Neighborhood Senior Culture Program Calendar

2.75

Derivation Chain

Step 1 Miss Trot Season 4 craze — surge in cultural consumption among people in their 50s
→
Step 2 Fragmented information about local cultural programs for people in their 50s

Problem

People in their 50s want to participate in free or affordable cultural programs (calligraphy, photography, instruments, dance, etc.) at local community centers, libraries, and district offices beyond just trot concerts, but information is scattered across each institution's website. They must check district office blogs, community center cafes, and library homepages separately, and miss enrollment deadlines, losing out on classes. On average, they miss 2-3 program opportunities per month.

Solution

On the web, users set their residential area (district/neighborhood level) and all cultural and sports programs within a 5km radius are displayed on a unified calendar. Features include enrollment-start alerts 3 days in advance, comparison of similar programs (schedule, cost, reviews), and interest-based tag filtering.

Target: Ages 48-62, retired or on a 4-day work week, interested in neighborhood-based cultural and sports activities, residing in metropolitan areas
Revenue Model: Basic search and alerts free; Premium (access to class reviews, multi-area settings, calendar sync) at 2,900 KRW/month (~$2.20). B2B display advertising for local governments and community centers
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (65%)

Tech Complexity
24.0/40
Data Availability
20.8/25
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 (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
9.0/15
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

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