A

Sports Streaming Platform Comparator

3.90

Derivation Chain

Step 1 Surging demand for SPOTV and sports streaming
Step 2 Fans aged 40-60 struggle to figure out which platform carries which game
Step 3 Match subscribed platforms with desired sports to send alerts for games viewable without additional payment

Problem

Sports fans aged 55-65 enjoy baseball (KBO/MLB), soccer (EPL/K League), golf, and more, but with streaming platforms like SPOTV, Tving, Coupang Play, and Naver all competing for sports rights, they have to search every time to find out 'where can I watch this game today?' Already subscribing to 2-3 OTT services, they end up with duplicate payments or pay for content that's actually available for free 1-2 times per month, wasting approximately $22-$37 (30,000-50,000 won) per year in unnecessary spending.

Solution

Users set their favorite sports and teams on a web app, which then filters game schedules to show only matches available on platforms they already subscribe to, displayed as a weekly calendar. Free streams (Naver/YouTube) are highlighted first, and for games requiring additional payment, a cost comparison between 'single-game purchase' vs 'Monthly Subscription' is provided.

Target: Men aged 50-65 who watch 2+ sports (KBO, EPL, golf, etc.), subscribe to 2-3 OTT services, and are sensitive to unnecessary duplicate payments — either working professionals or retirees
Revenue Model: Free web service. Affiliate link commissions when users sign up for OTT platforms. Premium ($2.15/month, 2,900 won) for real-time game start notifications and highlight curation.
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
4.0/5
V Validation
5.0/5
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.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (71%)

Tech Complexity
32.0/40
Data Availability
18.8/25
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.

Market Validation (72/100)

Competition
10.0/20
Market Demand
20.0/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
7.0/10
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.

Technical Requirements

Backend [medium] Frontend [low]
Dashboard