Market data
Where should your robotaxis run?
Metros ranked by Tesla's service stage and local rules, the projected profit per car and the other operators already there. Every fact links to its source, and the score shows its parts.
Rankings
Fleetsly score v1, last computed
| Tesla service | Other operators | |||||||
|---|---|---|---|---|---|---|---|---|
| #1 | AustinTexas, US | Paid public rides | 0 | $6,596.43 | 70.0 | 37.3 | 0.0 | 42.9 |
* Profit per car is an illustrative annual estimate (before financing and tax) from each metro's inputs, not market data or financial advice. Inputs without a sourced metro value use the estimator's base case; each market page lists every input with its source and as-of date.
How the score works
Model v1. Each part runs from 0 to 100 and depends only on that metro's own facts, so changing one metro's data never moves another metro's score, only the ranks. Facts we haven't sourced yet score zero.
Readiness · 40%
Tesla's service stage in the metro (70%) and whether local rules allow driverless commercial service (30%).
Points per Tesla service stage No service 0 Announced 25 Testing with safety drivers 50 Driverless testing 75 Paid public rides 100 Points per regulation level Not yet sourced 0 Restricted 0 Testing allowed 50 Driverless commercial service allowed 100 Economics · 40%
The projected annual profit per car from the earnings estimator with the metro's inputs, placed on a fixed scale: the estimator's low case scores 0 and its high case 100.
- Low case (0 points)
- −$7,301.62
- High case (100 points)
- $30,000
Illustrative estimates, not market data or financial advice.
Competition · 20%
Other operators prove demand: the metro gets the points of the furthest one's stage. Each additional operator with paid public rides beyond the first adds price pressure and costs 25 points.
No other operator yet means no proof of demand: 0 points.
Total = 0.4 × readiness + 0.4 × economics + 0.2 × competition, from the rounded parts. Equal totals share a rank.
Run the numbers for your fleet
Open any market in the estimator with its inputs filled in, then change what you know better.