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Tokenflow
See where your AI tokens actually go
TokenFlow turns local logs from Claude Code, Codex, Cursor, Cline, and Hermes into honest token and cost analytics -12 dashboard views, a native macOS menu bar app, forecasts, and anomaly alerts. Zero dependencies; nothing leaves your machine. Nothing leaves your machine.
Hey PH! I'm Vimox - I build AI products by day and burn an embarrassing amount
of tokens doing it.
TokenFlow started as a weekend question: which of my agents was actually eating
my budget? Every tool I use - Claude Code, Codex, Cursor, Cline, OpenCode —
writes its own logs in its own format, and none of them agree on what a cached
token even is. So I built the thing I wanted: one local engine that reads all
of those logs, normalizes them properly (cache read/write/input as separate,
mutually exclusive buckets; streaming re-reports collapsed; null never coerced
to zero), versions its price table with cited sources, and shows the result in
a dashboard plus a native macOS menu bar app with forecasts and anomaly alerts.
Three principles I refused to compromise on:
- Nothing leaves your machine. No accounts, no API keys, no telemetry.
- Zero runtime dependencies. If it can't be audited, it doesn't ship.
- Unpriced models show as "unknown" with a fix-it action - never a silent $0.
It's MIT, free, and installs in one line:
brew install --cask tokenflow (or npm i -g @vimoxshah/tokenflow)
Today's version has 12 dashboard views, 10 log adapters, and 145 tests running
on macOS/Linux/Windows across Node 22/24. What would make it genuinely useful
for you? I'll be in the comments all day - Windows tray app and a team-rollup
mode are already on my list depending on what you ask for.
About Tokenflow on Product Hunt
“See where your AI tokens actually go”
Tokenflow was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #7 on the daily leaderboard. TokenFlow turns local logs from Claude Code, Codex, Cursor, Cline, and Hermes into honest token and cost analytics -12 dashboard views, a native macOS menu bar app, forecasts, and anomaly alerts. Zero dependencies; nothing leaves your machine. Nothing leaves your machine.
On the analytics side, Tokenflow competes within Productivity, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.7M followers on Product Hunt. The dashboard above tracks how Tokenflow performed against the three products that launched closest to it on the same day.
Who hunted Tokenflow?
Tokenflow was hunted by Vimox Shah. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Tokenflow including community comment highlights and product details, visit the product overview.
Vimox Shah