B

IPO Subscription Strategy Simulator

3.70

Derivation Chain

Step 1 K-Bank/S-Team IPO frenzy
→
Step 2 Surge in IPO subscription participants
→
Step 3 Subscription strategy optimization tool

Competitor references

No usable source links are available for this idea. Its signal notes and scores need independent verification.

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 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.
N=.15 U=.20 M=.15 R=.30 V=.20

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/ 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 (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/ 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 [medium] Backend [medium] Data Pipeline [medium]
Dashboard