B

Small Business App Expense Analyzer

3.40

Derivation Chain

Step 1 Small Business digital operations
→
Step 2 Delivery app, POS, and reservation management each with separate costs
→
Step 3 Seeing total monthly digital tool spending and revenue ratio at a glance

Problem

A 45-year-old Solo Entrepreneur running a Cafe uses Baemin (a leading Korean delivery app, ~$60/month + commissions), POS terminal rental (~$22/month), Naver Reservations (free to Paid tiers), Instagram ads ($75–225/month), card terminals (2–3% commission), and mobile payments (1.5–3% commission) — all separately. They don't know exactly how much they spend monthly on digital tools. Their digital cost ratio exceeds 15% of revenue without them realizing it, eroding profitability.

Solution

Users select their digital tools (delivery apps, POS, payments, advertising, reservations, etc.) on the web and enter monthly costs and commission rates. The system auto-generates total digital costs, revenue-to-cost ratios, and category breakdown charts. It highlights 'which tools are excessive' compared to industry averages and suggests alternative tools (cheaper options).

Target: Ages 40–55, Self-employed (Cafe/Restaurant/beauty salon), monthly revenue $7,500–37,500, using 3+ digital tools
Revenue Model: Basic analysis free; monthly auto-tracking + industry benchmark comparison at 4,900 KRW (~$3.70) Monthly Subscription
Ecosystem Role: Infrastructure
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
U Urgency
3.0/5
M Market
4.0/5
R Realizability
5.0/5
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 (75%)

Tech Complexity
32.0/40
Data Availability
23.1/25
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 (53/100)

Competition
8.0/20
Market Demand
6.2/20
Timing
14.0/20
Revenue Signals
7.5/15
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

Frontend [medium] Backend [low]
Dashboard