Shorts Fandom Performance Tracker

2.80

Derivation Chain

Step 1 Show Me the Money 12 Shorts fandom survival format

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Step 2 Audition contestant Shorts performance analysis

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Step 3 SaaS for reporting Shorts fandom performance to advertisers

Problem

As Shorts-based survival shows like 'Show Me the Money 12' grow where 'views equal survival,' agencies and management companies need to track their artists' Shorts views, comments, and shares in real-time and report to advertisers. However, YouTube Analytics alone can't connect fandom engagement to advertising value. They spend 3-5 hours per week on manual spreadsheet aggregation and can't benchmark against competing contestants.

Solution

Integrates YouTube/TikTok Shorts APIs to auto-collect per-contestant views, comment sentiment, and share rates. Generates one-click fandom value Reports for advertisers (CPV, engagement rate benchmarks) and provides a dashboard visualizing relative fandom power compared to competing contestants.

Target: Music management companies with $3.75M-$37.5M annual revenue and individual managers of audition contestants (ages 25-40)

Revenue Model: SaaS Monthly Subscription at $37/artist slot, 10+ slot package at $292/month, advertiser Report at $3.75 Per Transaction additional

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

4.0/5

U Urgency

3.0/5

M Market

2.0/5

R Realizability

3.0/5

V Validation

2.0/5

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 (67%)

Tech Complexity

29.3/40

Data Availability

17.5/25

MVP Timeline

20.0/20

API Bonus

0.0/15

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)

Competition

8.0/20

Market Demand

6.2/20

Timing

14.0/20

Revenue Signals

7.5/15

Pick-Axe Fit

7.5/15

Solo Buildability

7.0/10

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] Frontend [medium] Data Pipeline [low]

Dashboard