GoatCounter delivers meaningful web traffic insights — pageviews, referrers, browsers, screen sizes, country-level geolocation — without setting a single cookie, without collecting personal data, and without forcing GDPR consent banners on your visitors. Written entirely in Go and distributed as a single compiled binary consuming roughly 25MB of RAM, it adds just 3.5KB to your pages via the tracking script, with a JavaScript-free tracking pixel alternative for sites that avoid scripts entirely, plus backend middleware integration and log file import for server-side collection. The dashboard displays pageview counts per path with hourly resolution, referrer sources grouped by domain with full URL on hover, browser and OS version breakdowns, screen size distributions, and country-level location data derived from IP addresses that are immediately discarded after geolocation. Campaign tracking supports UTM parameters and custom data attributes. A public stats option exposes your dashboard at a shareable URL for build-in-public transparency. SQLite serves as the default database requiring zero administration, while PostgreSQL handles higher-traffic deployments with multi-site setups. Built-in ACME and TLS certificate management eliminates reverse proxy requirements for HTTPS — no Nginx or Caddy needed. The REST API provides programmatic access to all analytics data. Deploy as a single binary, via Docker with the official arp242/goatcounter image, or through native packages. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. EUPL-1.2 licensed.