B

Sports Data Content Builder

3.50

Derivation Chain

Step 1 Champions League
→
Step 2 Growth of the sports content creator market
→
Step 3 Automated statistical visualization content generation for sports YouTubers and bloggers

Problem

Sports content creators (YouTubers, bloggers) covering soccer, baseball, and other sports spend 2-4 hours per video collecting data from statistics sites and creating infographics using design tools. At a pace of 3-5 videos per week, 40-80 hours per month are consumed by data visualization alone.

Solution

Auto-crawls match results and player statistics to generate template-based infographics (win rate comparisons, player heatmaps, season trend charts) within 1 minute. Supports YouTube thumbnail, Instagram card, and blog embed formats with brand color and font customization.

Target: Sports YouTubers with 1K-100K subscribers, Naver/Tistory sports bloggers, content creators aged 20-40
Revenue Model: Premium Monthly Subscription at KRW 15,000 (~$11). Free: 3 images/week. Paid: unlimited + custom branding
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (62%)

Tech Complexity
24.0/40
Data Availability
17.5/25
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

Backend [medium] Frontend [medium]
Dashboard