A

AI Slop Ad Waste Detector

3.75

Derivation Chain

Step 1 AI-generated content slop proliferation
→
Step 2 Ad spend wasted on fake traffic
→
Step 3 Slop site ad placement blocking service
→
Step 4 Real-time ad waste detection and automated refund claims

Problem

AI slop sites generate fake traffic to siphon Google/Naver display ad revenue. SME advertisers lack the staff to manually check publishers showing high impressions but sub-0.01% conversion rates, resulting in 20-40% of monthly ad budgets wasted on slop sites. Manual blacklist management takes 10+ hours per month.

Solution

A SaaS that integrates with Google/Naver ad accounts to calculate real-time traffic quality scores per publisher, automatically blacklists suspected slop sites, and auto-generates refund claim evidence Report for ad platforms. Builds network effects through an industry-shared blacklist DB.

Target: E-commerce/app marketing managers with monthly display ad budgets of ~$2,250-$22,500 (~3,000,000-30,000,000 KRW); performance marketing agencies
Revenue Model: SaaS Monthly Subscription in 3 tiers by ad spend: under ~$2,250 (~3M KRW): ~$29/mo (~39,000 KRW); under ~$7,500 (~10M KRW): ~$74/mo (~99,000 KRW); under ~$22,500 (~30M KRW): ~$149/mo (~199,000 KRW). 10% performance fee on successfully recovered refund amounts
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
5.0/5
M Market
4.0/5
R Realizability
3.0/5
V Validation
4.0/5
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 (69%)

Tech Complexity
29.3/40
Data Availability
20.0/25
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 (58/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
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

Backend [medium] Data Pipeline [medium] Frontend [low]
Dashboard