Burn rate · burning too fast?
…
…
Now
…
—
…
—
…
—
…
—
Live chats running now
Recent activity · one row per prompt tokens, weighted by cost
| when | project | model | tokens | $ (est.) | cache hit |
|---|
Chats · what each conversation cost
| chat | goal (first prompt) | when | duration | models | tokens | $ (est.) | cache |
|---|
Devices Pro sync · end-to-end encrypted · our servers never see your data
Projects · lifetime where your spend goes
| project | tokens | $ (est.) |
|---|
Cost per commit what each commit burned (sessions matched to git history)
| when | commit | project | tokens | $ (est.) |
|---|
Efficiency · cost per unit of work your cost per hour, day, commit & turn — mostly vs your own past
Cache efficiency how much input was reused from cache — higher saves money (all-time)
Burn rate trend · $/hr
Model split lifetime $ (est.)
—
total
Last 30 days · daily $ (est.)
Models · lifetime each model at its actual rate
| model | prompts | tokens | $ |
|---|
Activity heatmap hour × day · local time · darker = more tokens
Tool usage · lifetime
Monthly budget spent this month vs your budget · all figures are estimates
Notifications · where alerts reach you works while the dashboard is closed (app in tray)
Slack webhook
Webhook URL
SMTP host
Port
Username
Password
From
To
Spending spikes days that broke your pattern
Errors · last 24h