B
GameCoach SettleHub
2.90
Derivation Chain
Step 1
PUBG competitive mode popularity
→
Step 2
Game coaching/tutoring market growth
→
Step 3
Coaching Marketplace Infrastructure
→
Step 4
Coach-student settlement and review automation
Problem
Freelancer coaches (estimated 100-300 active) offering coaching for games like PUBG and League of Legends recruit students via KakaoTalk and Discord, collect fees through bank transfers, and handle no-show and refund disputes personally. Each coaching session requires 20-30 minutes of administrative work, and coaches invest 200+ hours per year creating YouTube videos just to build credibility and differentiate themselves from scam coaches.
Solution
A lightweight Marketplace providing an end-to-end flow: coach profile (with game API-verified match history) → student matching → escrow payment → session booking → reviews and ratings. Differentiator: automatic verification of coaches' actual match history and rank via game APIs, fundamentally blocking fraudulent coaches.
NUMR-V Scores
NUMR-V Scoring System
| N Novelty | 1-5 | How uncommon the service is in market context. |
| U Urgency | 1-5 | How urgently users need this problem solved now. |
| M Market | 1-5 | Market size and growth potential from proxy indicators. |
| R Realizability | 1-5 | Buildability for a small team with realistic constraints. |
| V Validation | 1-5 | Validation signal quality from competition and demand data. |
SaaS N=.15 U=.20 M=.15 R=.30 V=.20
Senior N=.25 U=.25 M=.05 R=.30 V=.15
Feasibility (69%)
Data Availability
19.4/25
Feasibility Breakdown
| Tech Complexity | / 40 | Difficulty of core implementation stack. |
| Data Availability | / 25 | Practical availability and cost of required data. |
| MVP Timeline | / 20 | Expected time to ship a usable MVP. |
| API Bonus | / 15 | Bonus for viable public API leverage. |
Market Validation (54/100)
Validation Breakdown
| Competition | / 20 | Signal quality from competitor landscape. |
| Market Demand | / 20 | Demand proxies from search and mention patterns. |
| Timing | / 20 | Fit with current shifts in tech, behavior, and regulation. |
| Revenue Signals | / 15 | Reference evidence for monetization viability. |
| Pick-Axe Fit | / 15 | How well the concept serves participants in a trend. |
| Solo Buildability | / 10 | Practicality for lean-team implementation. |
Technical Requirements
Backend [medium]
Frontend [medium]
Infrastructure [low]