A

Platform Worker Income Verification Generator

4.05

Derivation Chain

Step 1 Zero-hour contract and gig work expansion
→
Step 2 Gig worker financial accessibility challenges
→
Step 3 Automated platform labor income verification generation

Problem

Platform workers in delivery, designated driving, and translation need to verify income for loans, Jeonse (Lease Deposit) contracts, and credit card applications, but settlement records are scattered across platforms in inconsistent formats, making it difficult to produce the consolidated income verification documents banks require. Workers using 3–4 platforms simultaneously (35–45% of all gig workers) spend 3–5 hours collecting CSV files from each platform and merging them in Excel, yet still face rejection rates 2–3x higher than full-time employees.

Solution

Automatically parses settlement records from major platforms like Coupang Eats, Baemin Connect, Kakao T, and Kmong via email/PDF/CSV to generate consolidated monthly income reports. Produces bank-submission-ready PDFs including income trends, monthly averages, and stability scores. Cross-validates with National Tax Service comprehensive income tax filings to increase credibility.

Target: Multi-platform gig workers (ages 20–40s, in delivery/designated driving/translation/design), loan brokers and insurance planners serving gig worker clients
Revenue Model: 4,900 KRW (~$3.70) per income verification Report issued. Monthly Subscription at 9,900 KRW (~$7.40) for unlimited issuance. B2B API integration with financial institutions at 1,000 KRW (~$0.75) Per Transaction
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
U Urgency
5.0/5
M Market
5.0/5
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 (70%)

Tech Complexity
29.3/40
Data Availability
20.6/25
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] Backend [medium] Frontend [low]
Dashboard