B

Tennis Coaching Video AI Analyzer

2.50

Derivation Chain

Step 1 Surge in tennis popularity (star players like Medvedev driving interest)
→
Step 2 Growth of recreational tennis lesson market
→
Step 3 Automated student form analysis tool for lesson coaches

Problem

With the rapid growth of recreational tennis players in Korea (estimated 30% increase vs. 2025), tennis lesson coaches (Freelancer, ages 30-50) manage 15-25 students per week but spend an additional 30-40 minutes per student manually analyzing and documenting form (grip, swing, footwork) feedback from recorded videos. Lack of systematic progress tracking leads to high student churn.

Solution

Coaches upload student lesson videos filmed on smartphones, and AI pose analysis (MediaPipe/MoveNet) automatically measures joint angles and swing trajectories for forehands, backhands, and serves, generating Reports comparing improvements and weaknesses against previous lessons. Integrates per-student progress timelines with coach comments.

Target: Freelancer tennis coaches in their 30s-50s managing 10+ students, tennis academies (2-5 employees)
Revenue Model: SaaS Monthly Subscription $44/month (59,000 KRW, 20 students, 100 videos/month), Pro plan $74/month (99,000 KRW, 50 students, unlimited videos)
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
2.0/5
V Validation
2.0/5
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 (74%)

Tech Complexity
29.3/40
Data Availability
24.4/25
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
9.0/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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

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