S&T Fund LP Report Automation

3.50

Derivation Chain

Step 1 Launch of Science & Technology Innovation Fund

→

Step 2 Sub-fund GP operational support

→

Step 3 LP Report auto-generation SaaS

Problem

Small VCs and fund managers (GPs) participating in the Science & Technology Innovation Fund's sub-funds (763.2 billion won / ~$572M total) must submit quarterly investment performance and portfolio status reports to the parent fund (LP), but handle this manually with Excel and PowerPoint without dedicated staff. Each report takes an average of 3-5 days, and data integrity errors frequently cause rejection and resubmission, wasting approximately 40-60 hours annually.

Solution

Automatically collects investment portfolio data (DART public filings, internal ERP) and generates LP reports in one click, formatted to match the parent fund's reporting templates. Key features: (1) Auto-updated financial metrics via DART/electronic disclosure integration, (2) Report template mapping per parent fund, (3) Automated data integrity validation and anomaly alerts.

Target: Small VCs and technology-focused fund managers with AUM under $37.5M (~50 billion won); fund managers and IR officers

Revenue Model: SaaS Monthly Subscription: $217/month (~290,000 won) per fund; 20% discount for annual billing. Additional funds at $74/month (~99,000 won) each

Ecosystem Role: Infrastructure

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

3.0/5

U Urgency

4.0/5

M Market

3.0/5

R Realizability

4.0/5

V Validation

3.0/5

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 (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	/ 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 (52/100)

Competition

8.0/20

Market Demand

3.8/20

Timing

14.0/20

Revenue Signals

10.5/15

Pick-Axe Fit

10.5/15

Solo Buildability

5.0/10

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