B

My Local Trot Performance Schedule

3.60

Derivation Chain

Step 1 Trot craze fueled by shows like 'Unknown Legends'
→
Step 2 Difficulty for 50s Trot fans to see nationwide performance schedules at a glance

Problem

Trot fans in their 50s have to search through each artist's fan cafe, social media, and ticket sites to find performance schedules. Free Trot performances included in local festivals and events are only posted on local government websites, making them easy to miss. With no single place aggregating nationwide tour schedules, it takes 30 minutes to 1 hour to figure out 'what Trot performances I can see in my area this month.'

Solution

Aggregates nationwide Trot performances (paid concerts + free performances at local government festivals + open broadcast recordings) into a single calendar view. Users can favorite artists to receive notifications when performances are confirmed. Filter by region, date, or artist name, and see ticket purchase links, free/paid status, and seating information at a glance.

Target: Ages 48-62, hobby of watching Trot performances, hopes to attend 1-2+ performances per month, residing in the Seoul metropolitan area or a metropolitan city
Revenue Model: Basic free (view all schedules), Premium 2,900 KRW (~$2) per month (favorite artist alerts + priority alerts for free performances at local festivals + ad-free). Future B2B advertising revenue from performance planners.
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
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 (74%)

Tech Complexity
34.7/40
Data Availability
19.6/25
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
7.5/15
Pick-Axe Fit
10.5/15
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

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