RobotRides.aiBack
/ The Math of Autonomous Abundance

Build Your Cybercab Empire

Move every assumption. Watch a single $30,000 vehicle transform from a depreciating liability into a self-financing, compounding asset that funds the next car, then the next, then the next.

/ Single Cybercab — Live P&L
Move any slider on the left and watch income, expenses, and net cash flow recalculate in real time.
Net Cash Flow
$25,505/yr
$2,125/mo
# Cybercabs
Per car: $25,505/yr · $2,125/mo
Income
$41,987 /yr
$3,499 /mo
Expenses
$16,483 /yr
$1,374 /mo
Income
Annual · Monthly
Gross Fares$64,596$5,383
Tesla Take (35%)$22,609$1,884
Owner Share$41,987$3,499
Hrs/day
7.2
Mi/yr
58,617
Trips/day
16
Expenses
Annual · Monthly
FSD Subscription
$2,388
$199
Charging / Energy
$2,345
$195
Tires & Maintenance
$2,800
$233
Physical Damage Insurance
$1,200
$100
EV Taxes & Fees
$1,350
$113
Financing (6% / 5yr)
$5,800
$483
Cleaning
$600
$50
Parking
$0
$0
Cash OpEx$16,483$1,374
Non-cash
Depreciation (mileage-based)
$2,931
$244
Total OpEx$19,413$1,618
All-in $0.33/mi
Scale One Car Into A Fleet ↓
/ Fleet Compounding
Reinvesting 33% of monthly cash flow toward new down payments.
64
Cars at Year 3
Y1 · 3 carsY2 · 13 carsY3 · 64 cars
Year 1
3 cars
$4,251/mo gross flow
Year 2
13 cars
$25,505/mo gross flow
Year 3
64 cars
$119,023/mo gross flow
Cars in 3y
64
Self-financed via reinvestment
Spendable Profit
$646,507
67% of fleet cash flow, 3y
Final Monthly Flow
$119,023
64 cars × $2,125
/ Per Car · Per Day
In Service
7.2 hr
Miles Driven
161
Trips Completed
16
Gross Revenue
$177
/ Modeling Notes

Conservative floor: 30% utilization, $1.00 base + $1.00/mi survives a fully compressed ride-share market.

Empire reinvestment rule: a third of monthly cash flow funds new down payments. The rest is spendable. One car becomes ~3 in year one, ~11 in year two, ~47 in year three at default settings.

Long-term moat: as fares compress toward $0.50/mi, surviving operators layer secondary revenue — distributed inference, autonomous delivery — on the same rolling chassis.

/ Credit

Based on a model by @CernBasher, as discussed with @HerbertOng in the following two videos: