B

Overseas Performance Local Regulations Navigator

3.20

Derivation Chain

Step 1 Overseas expansion of Korean artists (e.g., Park Ki-young's Netherlands concert)
→
Step 2 Confusion among overseas performance agencies regarding local regulations
→
Step 3 Automatic lookup of performance permit, tax, and visa regulations by country

Problem

Although overseas performances by Korean artists are increasing, small and medium-sized agencies (5-20 employees) inquire with local agents for each country's performance permit procedures, withholding tax rates, visa requirements, and local labor laws (staff employment), incurring consulting costs of 2 to 5 million KRW per case (approx. $1,500 to $3,750) and 2-4 weeks of preparation time. Misinterpretation of regulations has also led to performance cancellations and fines.

Solution

The service builds a database of performance permit, tax, visa, and labor law regulations for 30 major performance destination countries. When users input the performance schedule, number of people, and genre, it automatically generates a checklist of required procedures, estimated taxes, and a list of necessary documents for that country. It also provides notifications when regulations change.

Target: K-POP/K-Classical overseas performance agencies with 5-20 employees, and freelance performance managers.
Revenue Model: SaaS monthly subscription: 79,000 KRW per account per month (includes 3 countries), additional countries: 15,000 KRW per month each (approx. $59.25 and $11.25 respectively). 15% discount for annual billing.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
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.
N=.15 U=.20 M=.15 R=.30 V=.20

Feasibility (73%)

Tech Complexity
29.3/40
Data Availability
23.3/25
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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
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 [medium] Frontend [low]
Dashboard