Saki: A Self-Hosted Analytics Proxy That Restores Accurate Tracking Behind Ad Blockers
Saki is a self-hosted Nginx reverse proxy that routes analytics through your own domain to bypass ad blockers and recover reliable event data for developers.
Saki arrived from a common frustration: analytics dashboards that only tell part of the story. When a sizable portion of site visitors use ad blockers or privacy extensions, requests to well-known analytics endpoints are routinely suppressed in the browser. The result is decision-making based on a fraction of activity — not true analytics. Saki positions itself as a simple, self-hosted analytics proxy that forwards analytics traffic through your domain, turning third-party calls into first-party requests so tracking libraries and SDKs reach their destinations even when ad blockers are active.
Why ad blockers break web analytics and why that matters
Ad and content blockers have become mainstream. They achieve their goals by identifying and blocking network requests to known tracking domains and CDN endpoints. That behavior is useful for privacy-minded users, but it has a collateral impact: analytic SDKs that load resources from domains such as Google Tag Manager, Google Analytics, Mixpanel, Amplitude, or PostHog can be blocked before a single event leaves the browser. For product teams and small operators this creates a distorted picture of usage — conversion funnels appear broken, session counts fall, and A/B test results become noisy. In practical terms, relying on those incomplete metrics can lead to poor product decisions and wasted engineering cycles.
How Saki re-routes analytics to look like first-party traffic
At its core, Saki is an Nginx-based reverse proxy packaged for easy deployment. Instead of pages loading analytics scripts directly from vendor domains, the browser fetches the same script from a path on your own domain. For example, the script normally served from a public CDN is proxied through a subdomain you control. From the analytics provider’s viewpoint the proxied request looks indistinguishable from a normal incoming request — headers, cookies, referrer, and user-agent are forwarded — but ad blockers that match against vendor hostnames typically do not intercept first-party paths on your site. That “first-party masquerade” is the practical trick: route vendor endpoints through your infrastructure and ad blockers generally leave them alone.
What Saki supports out of the box
Saki comes preconfigured with short, unobtrusive route paths for the analytics stacks teams actually deploy. Common examples are Google Tag Manager and Google Analytics scripts, CDN and API endpoints for Amplitude and Mixpanel, Microsoft Clarity, and PostHog (both its JavaScript collector and API). Each route uses a compact path that is not an obvious vendor domain, reducing the chance that blocklists will flag the request. If you rely on another provider, the proxy is extensible: any domain-backed resource can be mapped via an additional Nginx location block so long as the upstream host is reachable.
How to integrate Saki into a site or app
Integration is intentionally minimal. The only change on the client is replacing the analytics host with the matching path on your proxy domain. The same SDK or script tag remains in place; you only alter the hostname portion of the URL. Because Saki forwards all typical request metadata — headers, cookies, IP address, language, and referrer — the analytics backend receives a request that behaves the same as a direct call. No SDKs must be rewritten and no vendor-side configuration is required in most cases. For teams that deploy multiple properties, this approach centralizes the proxy infrastructure and avoids altering analytics code across many repositories.
Deployment patterns and practical hosting options
Saki is delivered as a Docker container, so it runs anywhere Docker is supported: a VPS, bare-metal host, or modern container platforms like Fly.io, Render, Railway, and similar services. For production use you should assign a dedicated subdomain (for example, s.yourdomain.com) and configure TLS so proxied traffic is encrypted end-to-end. A minimal container orchestration configuration is typically enough — a single container with automatic restart policies will serve most teams. Environment variables let operators customize route prefixes and tweak behavior without rebuilding images, and you can extend Nginx configuration if you need bespoke routing or header handling.
Security, privacy, and ethical trade-offs
Saki is not a privacy tool. It does not anonymize or redact tracking data — in fact, its purpose is to ensure analytics requests reach their destinations. That raises an important ethical question: if users intentionally block trackers, should you circumvent those protections to recover their data? The answer depends on your legal environment, the transparency of your privacy policy, and your product’s values. Organizations should review applicable privacy regulations (such as GDPR or other regional rules), update privacy disclosures, and consider giving users an explicit opt-out rather than silently proxying data. From a security perspective, you must also secure the proxy itself: keep the host up to date, enforce TLS, rotate any credentials for management endpoints, and monitor logs for unusual activity.
Technical trade-offs and alternatives
There are two common categories of solutions teams have used to address blocked analytics: third-party proxy services and homegrown server-side proxies. Hosted services will proxy analytics for you and handle certificate management and uptime guarantees, but they introduce a recurring cost and shift data through a vendor you must trust. Building a bespoke proxy with Nginx or Node.js gives full control, but it requires custom configuration for headers, path rewrites, and compatibility with different analytics providers — and you must maintain that code over time. Saki aims for a middle ground: a ready-made, open-source container that packages the necessary routing logic, header handling, and defaults so you can deploy quickly without maintaining a bespoke solution.
Performance and reliability considerations
Introducing a proxy does insert an extra network hop. However, when deployed on robust infrastructure and paired with HTTP keep-alive, caching, and proper TLS configuration, the latency impact can be negligible relative to the existing SDK load times and network variances. If you plan to proxy large volumes of traffic — for example, high-traffic consumer sites or high-frequency event streams — evaluate capacity: provision enough CPU and network throughput on the host, tune Nginx worker settings, and consider running multiple instances behind a load balancer. Logging and observability are also critical; capture request metrics and error rates so you can detect upstream failures or broken route mappings quickly.
Developer workflow and maintenance
Saki is intentionally low-friction for developers. The change required in codebases is limited to a single hostname update per analytics inclusion. That makes rollouts and rollbacks straightforward; you can test the proxy in staging and flip DNS or script configuration once validated. Because the project is open-source and MIT licensed, contributors can add new route mappings or improve compatibility with additional analytics providers. Keep an eye on vendor domain changes and CDN migrations — if an analytics provider alters file paths or endpoints, the proxy mapping will need adjustment. Saki’s maintainers and community contributions can reduce that burden for adopters.
When Saki is a good fit and who should consider it
Saki is especially relevant for small product teams, indie developers, and companies that want to preserve existing analytics instrumentation without investing in a full server-side analytics pipeline. It suits scenarios where accurate client-side metrics matter and where teams are comfortable operating a small self-hosted service. Enterprises with stringent privacy or compliance requirements may prefer server-side tracking that centralizes data ingestion and policy enforcement, while privacy-first organizations may opt to respect client-side blocking and instead focus on consent-driven data collection. Saki is not a universal solution, but it is a pragmatic option for restoring visibility with minimal engineering overhead.
Integrations, use cases, and related ecosystems
Analytics rarely operate in isolation. Product teams feed event data into BI systems, CRM platforms, customer data platforms (CDPs), marketing automation tools, and dashboards. By improving the fidelity of client-side event capture, Saki can indirectly enhance downstream workflows across CRM, marketing tools, and internal BI. It also reduces the need for heuristic stitching in A/B testing platforms or attribution systems that rely on fragmented data. For developer toolchains, the proxy pattern complements observability stacks and reverse-proxy deployments; teams that already manage Nginx-based routing or containerized services will find Saki fits naturally into existing CI/CD and infrastructure-as-code practices.
Testing, troubleshooting, and common pitfalls
When adopting a proxy, validate three areas: routing correctness, header fidelity, and vendor compatibility. Start in a staging environment and use browser devtools to verify that script files and API calls are served from your domain and that the proxied requests return expected responses. Inspect request and response headers to ensure cookies and authentication tokens required by upstream services are preserved when needed. Watch for mixed-content warnings if your site serves over HTTPS and the proxy is not configued with valid TLS. If analytics reports still show missing events, check ad blocker behavior against path names — while uncommon, some aggressive blocklists flag patterns beyond hostnames — and consider adjusting route prefixes accordingly.
Broader implications for the analytics industry and developers
Saki highlights a broader tension in the ecosystem: the weak boundary between first- and third-party contexts on the web. Ad blockers and privacy tools have pushed vendors and developers to rethink how client-side resources are loaded and how consent is obtained. Proxying analytics as a workaround can restore signal for product teams, but it can also create a dynamic where measurement becomes harder to audit and where user intent is overridden by infrastructural indirection. For the industry, this prompts questions about the future of client-side measurement, the role of server-side analytics and privacy-preserving measurement techniques, and how standards might evolve to balance user control with the legitimate needs of product analytics and security monitoring.
Open-source stewardship and community contributions
Because Saki is published under a permissive license and packaged for straightforward deployment, community contributions are a logical next step. Adding compatibility for more analytics vendors, improving caching and health-check endpoints, and providing deployment templates for different cloud platforms would broaden its utility. Repository maintainers should prioritize security reviews and clear documentation around privacy implications so organizations can make informed choices before flipping the proxy switch.
Looking forward, proxies like Saki are likely to be part of a broader toolbox rather than a single silver bullet. Teams will combine first-party proxying, server-side ingestion, and consent management to build resilient measurement stacks. As browsers and regulatory frameworks evolve, vendors may offer more robust server-to-server APIs or standards-based ways to convey user consent that reduce the need for circumvention patterns. For now, Saki provides a pragmatic route to regain lost visibility with a small operational footprint, but teams should weigh technical benefits against ethical and legal responsibilities when restoring tracking that users have tried to block.
