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Fandom Culture Travel Course Designer

2.95

Derivation Chain

Step 1 K-POP × cultural heritage collaboration trend
→
Step 2 Overseas fandom demand for Korean cultural tourism courses
→
Step 3 Automatic design of integrated K-POP pilgrimage + traditional culture tourism courses

Problem

After K-POP cultural heritage collaborations like Blackpink × Gukjungbak, overseas fans (especially from Southeast Asia and Japan) want courses combining 'K-POP pilgrimage + traditional culture experience' when visiting Korea, but they spend 5-8 hours individually searching blogs/SNS to plan routes. Existing travel agency packages do not reflect fandom needs.

Solution

Enter your favorite artist and traditional culture keywords, and it automatically designs a full-day or half-day course: 'MV filming location → collaboration exhibition → hanbok experience → restaurants.' Provides a complete itinerary including transportation (subway/bus), travel time, and admission fees in multiple languages (Korean/English/Japanese).

Target: Overseas K-POP fans aged 20-35 (planning to visit Korea), small inbound travel agencies (3-10 employees), K-POP fan community operators
Revenue Model: Per course generation: 3,900 KRW (basic) (approx. $2.93), Premium (real-time booking integration): 7,900 KRW per transaction (approx. $5.93). Travel agency B2B API: 199,000 KRW/month (approx. $149.25) for 100 transactions per month
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
2.0/5
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 (70%)

Tech Complexity
29.3/40
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 (50/100)

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

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