A

AI Image Prompt Optimizer

3.95

Derivation Chain

Step 1 Google NanoBanana2 launch expands AI image generation accessibility
→
Step 2 Explosion in AI image generation users
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Step 3 Prompt optimization tool for AI image generation users
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Step 4 Industry-specific prompt library built from accumulated prompt optimization results

Problem

Small Business Owners and solo creators using AI images for e-commerce product photos, real estate interior mockups, and YouTube thumbnails go through an average of 15-30 prompt iterations to get desired results, wasting 500-2,000 won (~$0.38-$1.50) per image in generation API costs and 2-4 hours of time. Non-English speakers experience 50%+ additional trial-and-error due to nuance loss in Korean-to-English prompt translation.

Solution

(1) Recommend proven prompt templates based on industry (E-commerce/Real Estate/Content) and purpose (product photo/background/thumbnail), (2) Auto-convert Korean intent input into optimized English prompts, (3) Feedback loop on generated results for automatic prompt refinement, (4) Community library of industry-specific best prompts.

Target: Small Business Owners with 100M-500M won (~$75K-$375K) annual revenue, solo content creators, and Freelancer designers using AI image generation in their workflow
Revenue Model: Premium Model: Free 5 conversions/day, Pro 29,000 won (~$22)/month for unlimited conversions + library access, Business 79,000 won (~$59)/month for team sharing + API integration
Ecosystem Role: Education
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
5.0/5
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 (73%)

Tech Complexity
29.3/40
Data Availability
23.3/25
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 (62/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
12.0/15
Solo Buildability
9.0/10
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