A

Solo Startup Monthly Fixed Cost Simulator

3.80

Derivation Chain

Step 1 Career-based re-employment and Solo Entrepreneur matching
→
Step 2 Problem of only calculating initial costs when making startup decisions
→
Step 3 Industry-specific monthly fixed cost (rent, social insurance, taxes, utilities) simulation for realistic break-even analysis

Problem

When retirees in their 50s evaluate small-capital startups (cafes, consulting, education, online shops, etc.), they only calculate initial investment and underestimate monthly fixed costs. After business registration, monthly fixed costs including social insurance (sharp increase in regional health insurance premiums), VAT filing, rent, telecom, and card processing fees run at least $1,125–$2,250 per month — yet no tool shows these realistic figures by industry, contributing to a 20%+ closure rate within six months of launch.

Solution

Users select their desired industry, region, and scale, and the tool auto-calculates monthly fixed cost items (rent, health insurance, National Pension, VAT prepayment, telecom, card processing fees, labor costs). When a monthly revenue target is entered, it computes the break-even revenue and net profit, clearly displaying 'If you can't generate this much revenue, you'll lose $X per month.'

Target: Ages 50–60, evaluating small-capital startups post-retirement, planning to use severance pay, spouse partnership or Solo Entrepreneur
Revenue Model: Basic single-industry simulation free. 3-industry comparison + 12-month cash flow forecast Report for $3.75. Connection to Small Business Owner support center counseling.
Ecosystem Role: Regulation
MVP Estimate: 2_weeks

NUMR-V Scores

N Novelty
2.0/5
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 (74%)

Tech Complexity
34.7/40
Data Availability
19.2/25
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
6.2/20
Timing
16.0/20
Revenue Signals
9.0/15
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

Frontend [low] Backend [medium] Data Pipeline [low]
Dashboard