Local-first AI coding performance intelligence for developers and teams.

01token intelligence
available on · claude · codex · cursor · gemini

tokeIT let you track your token usage and become
more productive

From solo developers to engineering teams, tokeIT tracks tokens, cost, time, commits, and efficiency so your AI workflow becomes visible, measurable, and easier to improve.

tracked tools6+
session modeautomatic
team viewopt-in
ready · product tour-:- / 01:21tk_01HAZ7K
PLAY PRODUCT TOUR · 01:21

A real session shows how tokeIT tracks tokens, commits, and efficiency.

tokeIT dashboard analytics overview
commits3
modelclaude-3.7
statustracked
tokenscommitsefficiencyinsights
02two surfaces
dashboard · terminal

One product, two surfaces, zero friction.

The desktop app gives developers and leads a clear visual dashboard. The CLI keeps the workflow close to the terminal. Both run on the same session intelligence.

desktop appanalytics + coaching
tokeIT workflow summary view

See the full performance layer.

Time, tokens, cost, commits, score, heatmaps, and coaching are presented in one view that feels operational instead of decorative.

cliinstall once
tokeIT local-first insight screen

Keep the workflow exactly where you already work.

  • Watch sessions automatically
  • Link effort to outcomes
  • Turn patterns into action
03visibility
time · tokens · cost · commits
signature readout
time + tokens + cost + commits

The product connects effort to outcomes, which is what makes the data useful. You can finally answer what a feature cost, which model was efficient, and whether the work actually shipped.

tokeIT efficiency and leaderboard view
AutomaticTracking mode
Local-firstData layer
CLI + desktopViews
Opt-in syncTeam layer
Feature cost attributionPrompt quality coachingProvider comparisonTeam efficiency review
04scale
individuals · teams

Scale from solo improvement to team visibility.

Start with personal measurement. Expand to team-level visibility only when you need it. That keeps the product sharp for developers while still useful for engineering leads.

tokeIT team leaderboard preview
Team-wide spend and efficiency

Understand where AI budget is concentrated and how performance is trending.

Per-project visibility

Track AI effort by project or feature instead of only by individual developer.

Measured accountability

Leaderboards create visibility without exposing prompt content or session notes.

05privacy & trust
local-first · private by default

Local-first storage, opt-in sync, no raw prompt content leaving the device.

tokeIT stores session intelligence locally and only syncs when a user chooses to connect an account for team features. The individual coaching layer stays personal; the shared metrics layer stays useful.

Local-first
Opt-in sync
Private coaching
Raw prompts stay on-device
Encryption and storage boundaries

Session intelligence is stored locally by default, with cloud sync only when the user explicitly enables team features.

local · encrypted
Team visibility without session exposure

Admins and members can see shared performance metrics, but not private coaching notes or raw session content.

metrics only
Auditability when it matters

Projects, cost, commits, model usage, and trends stay structured enough for team reporting without turning the product into surveillance.

roles · reports