B
Sports Fan Content Copyright Clearance
2.80
Derivation Chain
Step 1
EPL/MLB Korean fandom expansion
→
Step 2
Fan content creation ecosystem
→
Step 3
Fan-created content copyright/likeness rights clearance automation
Problem
Korean sports creators making EPL/MLB highlight edits and player analysis videos on YouTube and TikTok are rapidly growing, but they struggle to understand team and league video copyrights and player likeness rights, experiencing content takedowns (2–3 times/month average) and channel strikes. Legal consultation costs $375–$750 per case, which is prohibitive for individual creators.
Solution
Input the source of the video to be uploaded (official team footage, TV broadcasts, press photos, etc.) and usage method, and the system auto-assesses copyright infringement risk. Provides safe-use guidelines (fair use scope, required licenses, alternative sources) and connects to license purchase links when needed.
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 (77%)
Data Availability
22.5/25
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 (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
AI/ML [medium]
Backend [low]
Frontend [low]