B

S&T Startup IR Coach

3.30

Derivation Chain

Step 1 Launch of Science & Technology Innovation Fund
→
Step 2 Increasing deep-tech startup fundraising activity

Problem

As S&T Innovation Fund sub-funds begin active investing, deep-tech startups have more IR (Investor Relations) opportunities, but researcher-turned-founders tend to focus heavily on technical explanations at the expense of communicating business viability and market potential. IR consulting costs $2,250-$3,750 (~3-5 million won) per engagement, which is burdensome for early-stage startups, and slow feedback loops make it easy to miss the fundraising golden window (typically 3-6 months).

Solution

Upload an IR deck and receive automated feedback from a VC reviewer's perspective, plus pitch simulation for Q&A practice. (1) Slide-by-slide automated feedback on IR decks (diagnosing balance between business viability, market potential, and technology), (2) VC question simulator (domain-specific expected questions + model answer guides), (3) Pitch recording with voice analysis (speed, filler words, time allocation).

Target: Seed to Pre-Series A deep-tech startup CEOs; researcher-turned-founders, ages 30-40
Revenue Model: Per Transaction: $74 (~99,000 won) per IR deck analysis; Monthly Subscription (unlimited analysis + simulator): $142/month (~190,000 won)
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
3.0/5
M Market
3.0/5
R Realizability
4.0/5
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 (74%)

Tech Complexity
29.3/40
Data Availability
24.4/25
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
3.8/20
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

AI/ML [medium] Backend [low] Frontend [medium]
Dashboard