Poteto Tracker

One engineer. One Cursor profile. 1.5 trillion tokens in 30 days.

profile private / gone last checked Oct 8, 2026 check the profile

The headline number

Last seen on her public profile, Oct 7, 2026. The profile is private now, so this is the last known reading.

Tokens, last 30 days1.5T
Burn ticker, at her average pace+578,704 / sec
1,500,000,000,000

Illustrative. This counter just keeps adding tokens at her old average rate. The real pace is unknown, because the profile is private.

What does that cost?

Nobody knows her real bill. These are the scenarios from the thread that broke the story, all assuming the full 1.5T tokens over 30 days.

Your scenario

Drag both sliders. The table above is fixed list-price math. This one is yours.

$8.00
effective $/M
$12.0M
per 30 days
$400K
per day
$146M
per year pace

A community note on the thread points out the list-price math ignores prompt caching. Cache reads cost roughly a tenth of fresh input tokens, so if most of those 1.5T tokens were cache reads, the real bill is much lower. That is what the cache slider is for.

Engineer equivalence

The thread's best line: at Opus/Sol list prices, one month of tokens costs about $13.2M, which hires 26 staff-level engineers for a year at $500k each. Move the slider to price your own.

How many engineers is that?

$13.2M
per 30 days
$440K
per day
26
staff engineers / year
$500K
per engineer / year

$13.2M divided by $500k is 26.4, so 26 engineers. Estimates only, like everything on this page.

Usage log

There is no live feed, the profile is private. So this log is manual: add a snapshot whenever the profile resurfaces. It is saved on this device.

Tokens per 30-day window

Seeded with the last public reading: Oct 7, 2026, 1.5T tokens.