B

AI Skills Transition Diagnostic

3.65

Derivation Chain

Step 1 Redefining developer competencies amid generative AI proliferation
→
Step 2 Developer AI skills gap analysis service

Problem

Korean developers with 5–15 years of experience cannot determine which skills to strengthen and which to deprioritize in the generative AI era, so they resort to blindly taking LLM tutorials. They waste an average of 3–6 months on inefficient Learning, creating a gap between acquired knowledge and skills actually applicable to their work.

Solution

Based on GitHub commit history and tech stack input, the service auto-generates a current skills profile and compares it against AI-era role-specific competency models to deliver a personalized Report classifying 'Skills to Strengthen / Skills to Maintain / Skills to Drop.' Differentiator: integration with Korean IT job market data.

Target: Backend/frontend developers with 5–15 years of experience; CTOs and team leads at IT agencies (10–50 employees)
Revenue Model: Individual diagnostic Report at $14.20 Per Transaction. Enterprise team diagnostic package at $74/month per 10 users (includes quarterly reassessment).
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
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 (69%)

Tech Complexity
29.3/40
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 (57/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
9.0/15
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

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