A

Competition Proposal AI Coach

4.15

Derivation Chain

Step 1 Public data utilization island expo
→
Step 2 Competition participant support services
→
Step 3 Proposal writing AI coaching SaaS

Problem

University students and early-stage Startups entering public data competitions for the first time lack proposal writing experience, spending 20-30 hours on an average of 3-5 revision cycles. Without knowledge of past winners' structures and patterns, they submit proposals misaligned with judging criteria, resulting in a 70% first-round elimination rate.

Solution

Provides proposal templates based on structural analysis of past competition winners, and delivers automated feedback on user drafts against each judging criterion. The technical feasibility of data utilization plans is pre-validated via LLM, with improvement suggestions provided.

Target: University students (20s) participating in public data competitions, early-stage Startups with 0-2 competition experiences (1-3 employees)
Revenue Model: Premium Subscription at 29,000 KRW (~$21.75)/month per account (unlimited feedback); single-use at 9,900 KRW (~$7.40) Per Transaction
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
3.0/5
U Urgency
4.0/5
M Market
4.0/5
R Realizability
5.0/5
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 (77%)

Tech Complexity
34.7/40
Data Availability
22.5/25
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 (60/100)

Competition
8.0/20
Market Demand
9.4/20
Timing
14.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
8.0/10
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 [low]
Dashboard