A

Youth Baseball Injury Prevention Coach

3.95

Derivation Chain

Step 1 Pro baseball popularity → youth baseball participation growth
→
Step 2 Increase in youth baseball participants
→
Step 3 Youth player injury prevention Education demand

Problem

Parents of elementary and middle school baseball players lack the expertise to assess their child's pitching form, training load, and injury warning signs, leading to overuse injuries such as elbow and shoulder problems (Little League elbow, etc.). Youth sports medicine information is scattered, and parents have no way to verify coaches' training instructions. When injuries occur, treatment costs $750–$3,750 (~100–500만원) per incident with 3–6 month recovery periods.

Solution

Input the child's age, position, weekly training volume, and pitch count to auto-calculate recommended training ranges and injury risk levels based on sports medicine guidelines. Provides pitch count limit alerts, stretching and cooldown routine video recommendations, and weekly reports with an injury warning sign self-check checklist.

Target: Parents of elementary–middle school baseball players (aged 30–50), youth baseball coaches, and local baseball club operators
Revenue Model: Premium monthly at $9/mo (~12,000 KRW) per player, team package (15 players) at $90/mo (~120,000 KRW). Free Plan (basic checklist only)
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
4.0/5
M Market
3.0/5
R Realizability
5.0/5
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 (83%)

Tech Complexity
40.0/40
Data Availability
23.1/25
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 (53/100)

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
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 [low] Frontend [low] AI/ML [low]
Dashboard