B

AI Paper & Report Credibility Checker

3.25

Derivation Chain

Step 1 AI generates SCI papers for 10,000 KRW (~$7.50)
→
Step 2 Problem of professionals in their 50s discerning AI-generated information trustworthiness
→
Step 3 Inability to distinguish AI-generated vs. expert-written content in Health, financial, and Legal information

Problem

When people in their 50s search online for health information, tax guides, or legal explanations, they cannot distinguish between AI-generated content and articles written by actual experts. Cases are increasing where people trust AI-generated health information and change medications, or follow AI-written tax guides and file incorrectly. Health-related misinformation in particular leads to direct physical harm.

Solution

Paste a suspicious article's URL or text on the web, and the tool analyzes AI-generation probability (%), source credibility rating (A-D), and whether key claims have supporting evidence to determine 'whether this article is trustworthy.' It also recommends authoritative alternative sources by domain — Health, Tax Accounting, and Legal.

Target: Ages 45-60, people who frequently search online for Health, financial, and Legal information — especially those managing chronic conditions or filing taxes themselves
Revenue Model: 3 free verifications per day; unlimited verification + domain-specific trusted source bookmarks for 3,900 KRW/month (~$2.90/month)
Ecosystem Role: Consumer
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
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 (68%)

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

Market Validation (52/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
7.5/15
Pick-Axe Fit
9.0/15
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

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