Use Case
CLI Analytics with Pulse
Understand how developers use your CLI tool
The problem
CLI tool authors ship features without knowing which commands are actually used, where errors occur in the wild, or how quickly developers adopt new versions. Traditional analytics SDKs require collecting email addresses or user accounts — a non-starter for developer tools.
The solution
Pulse collects 26 machine signals — OS version, terminal emulator, package manager, shell, CI provider, container type, and more — to create unique machine fingerprints without any PII. Track command invocations, version adoption, and error rates. Developers stay anonymous; you get actionable data.
Code example
import { pulse } from "@fingerprintiq/pulse";
await pulse.track({
command: "deploy",
version: pkg.version,
duration: elapsed,
success: exitCode === 0,
});
// No emails. No names. No PII. Just signals.Key signals
Start identifying devices today
Free tier includes 25,000 identifications per month. No credit card required.