IPO Subscription Strategy Simulator

3.70

Derivation Chain

Step 1 K-Bank/S-Team IPO frenzy

→

Step 2 Surge in IPO subscription participants

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Step 3 Subscription strategy optimization tool

Problem

Individual investors participating in successive large IPO subscriptions (e.g., K-Bank, S-Team) spend 30 minutes to 1 hour per deal manually calculating allocation strategies (equal vs. proportional), deposit distribution, and broker-specific competition ratios. Poor deposit allocation results in 30–50% fewer shares than optimal, creating significant opportunity costs.

Solution

Real-time broker competition ratio crawling, optimal deposit distribution simulation, and historical IPO data-based expected return backtesting — delivering one-click optimal subscription strategies.

Target: Individual investors aged 20–40 with 3+ IPO subscription experiences and deposits of ~$7,500–$75,000 (~10 million–100 million KRW)

Revenue Model: Premium SaaS Monthly Subscription at ~$37/account (~49,000 KRW), Free Trial tier (2 simulations/month), 25% discount for Annual Subscription.

Ecosystem Role: Supplier

MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty

2.0/5

U Urgency

4.0/5

M Market

4.0/5

R Realizability

4.0/5

V Validation

4.0/5

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 (64%)

Tech Complexity

24.0/40

Data Availability

19.6/25

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 (56/100)

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

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

Frontend [medium] Backend [medium] Data Pipeline [medium]

Dashboard