B

Content Multi-Platform RiskMap

3.00

Derivation Chain

Step 1 Frequent social media platform policy changes
→
Step 2 Creator need for revenue diversification
→
Step 3 Cross-platform policy risk comparison tool

Problem

Creators (50-200 per agency) at small-to-mid MCNs distribute content simultaneously across YouTube, Instagram, TikTok, and Naver, but each platform has different content policies — the same content may be fine on one platform but deleted or penalized on another. MCN managers spend 15-20 hours per week manually tracking policy changes across platforms and writing per-creator guidelines.

Solution

Automatically collects and compares content policies across major platforms (YouTube, Instagram, TikTok, Naver, AfreecaTV), generating a risk matrix by content type and platform. When policies change, sends instant alerts along with an auto-extracted list of affected creators.

Target: MCN managers and operations teams (ages 25-40) at small-to-mid MCNs with 50-200 creators
Revenue Model: SaaS Monthly Subscription: ~$142/month per MCN (up to 100 creators), ~$0.75/month per additional creator
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
3.0/5
V Validation
3.0/5
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.
Each dimension is scored 1-5 and weighted into grade S/A/B/C/D.
SaaS N=.15 U=.20 M=.15 R=.30 V=.20 Senior N=.25 U=.25 M=.05 R=.30 V=.15

Feasibility (72%)

Tech Complexity
29.3/40
Data Availability
23.1/25
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.
Total 100 points; below 50% is filtered out.

Market Validation (54/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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.
Total 100 points; below 50 is filtered out.

Technical Requirements

Data Pipeline [medium] AI/ML [medium] Frontend [low]
Dashboard