B
MLB Korean Fan Real-Time Commentary Bot
3.30
Derivation Chain
Step 1
MLB season opener / spring training
→
Step 2
Korean MLB fan community tools
→
Step 3
Real-time Korean-context game commentary service
Problem
Over 2 million Korean MLB fans (based on Naver MLB café membership) watch games from spring training through the postseason, but English broadcasts don't reflect Korean fan context (Korean player comparisons, differences from KBO, etc.). Domestic MLB broadcasts only cover major games, leaving minor games and spring training without Korean commentary. Fans spend 30–60 minutes per game aggregating game information across community forums.
Solution
Analyze MLB official data feeds in real time and deliver Korean-context commentary (player backgrounds, KBO comparisons, tactical analysis) via Telegram/Discord bot. Key features: (1) play-by-play real-time Korean commentary, (2) highlight alerts when Korean players appear, (3) post-game AI summary report.
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 (72%)
Data Availability
17.5/25
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 (50/100)
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]
AI/ML [low]
Infrastructure [low]