A

VBA Macro AI Migrator

3.80

Derivation Chain

Step 1 VBA/legacy office macro modernization need
→
Step 2 VBA-to-Python/JS conversion tools
→
Step 3 Post-conversion test automation SaaS

Problem

Accounting and admin departments at Korean SMEs (10-100 employees) rely on Excel VBA macros accumulated over 10-20 years to run core business processes, but these become unmaintainable after the original authors leave the company. Outsourcing conversion of each macro to Python or Google Apps Script costs $750-$2,250 and takes 2-4 weeks, making migration prohibitively expensive.

Solution

Upload a VBA macro file (.xlsm) and an LLM analyzes the code to automatically convert it to Python (openpyxl/pandas) or Google Apps Script, generating automated test cases that compare input/output between the original and converted versions. Sections that cannot be converted are flagged as manual intervention points.

Target: IT administrators at Korean SMEs with 10-100 employees and management support team leads overseeing IT outsourcing (ages 35-55)
Revenue Model: Per Transaction pricing: single macro conversion at $30 (up to 300 lines), $7.50 per additional 100 lines. Monthly Subscription at $75 includes 5 conversions per month.
Ecosystem Role: Supplier
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
4.0/5
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 (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 (56/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
16.0/20
Revenue Signals
10.5/15
Pick-Axe Fit
10.5/15
Solo Buildability
5.0/10
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