B
SportsPulse: Player News Alert
3.15
Derivation Chain
Step 1
2026 Milan Olympics & global sports event interest
→
Step 2
Sports media, betting & fandom ecosystem
→
Step 3
Real-time issue detection tool for sports media creators
Problem
Sports-focused YouTubers and bloggers (solo creators, ages 20–40) need to cover player developments (injuries, transfers, records, controversies) before competitors to capture views, but monitoring 10+ sources (Twitter, Reddit, official sites, international news) consumes 2–3 hours daily. Being 30 minutes late means another channel has already claimed the story, reducing views by 10x.
Solution
Register players and sports of interest, and the system detects breaking developments in real time from global sources, delivering an importance score alongside suggested content angles. (1) Multilingual (KR/EN/JP) real-time player issue detection, (2) Automatic issue importance scoring (viral potential), (3) 3 auto-suggested content angles per issue.
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
19.6/25
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 (51/100)
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
Data Pipeline [medium]
AI/ML [medium]
Backend [low]