V4 Vectr4
Try Demo

Self-hosted product analytics

Self-hosted product analytics for indie SaaS teams.

Vectr4 helps founders track events, funnels, sessions, and user journeys on their own VPS, so product usage data stays inside infrastructure they control.

Self-hosted product analytics explained

What is self-hosted product analytics?

Self-hosted product analytics means running your own analytics system for product usage data. Instead of sending every event, session, and funnel step to a third-party analytics vendor, you collect and analyze that data inside your own deployment.

Vectr4 is built for small SaaS teams, indie hackers, and technical founders who want to understand how users move through their product without adding another hosted analytics platform to their stack.

Own the deployment

Deploy analytics on your own VPS

Run the analytics dashboard, event ingestion API, and configuration with Docker Compose on infrastructure you already control.

Track product usage

Events, funnels, sessions, journeys

See what users do after launch: custom events, funnel conversion, recent sessions, activation steps, and paths across your product.

Control product data

Keep customer data under your control

Self-hosted product analytics keeps customer activity data inside your deployment instead of adding another third-party analytics destination.

Web analytics

Self-hosted web analytics tracks visits.

Tools like Plausible, Umami, and Matomo are often used to track pageviews, referrers, traffic sources, browsers, and visits. That is useful when you want to understand website traffic.

Product analytics

Self-hosted product analytics tracks behavior.

Vectr4 focuses on what users do inside your product: signup events, activation steps, feature usage, funnels, sessions, and user journeys. That makes it better suited for SaaS products than simple pageview analytics.

How Vectr4 fits

Vectr4 is not just another website analytics tool.

Tool type Usually tracks Best for
Plausible / Umami Pageviews, referrers, visits Simple website analytics
Matomo Website analytics, privacy-focused tracking Teams that want a mature Google Analytics alternative
PostHog Product analytics, experiments, replay, feature flags Teams that want a broad product platform
Vectr4 Events, funnels, sessions, journeys Indie SaaS teams that want focused product analytics on their own VPS

FAQ

Self-hosted product analytics questions

What is self-hosted product analytics?

Self-hosted product analytics is a way to track product usage data, such as events, funnels, sessions, and user journeys, on infrastructure you control instead of sending that data to a hosted analytics vendor.

How is product analytics different from web analytics?

Web analytics usually focuses on pageviews, referrers, traffic sources, and visits. Product analytics focuses on what users do inside a product, including signup events, activation steps, feature usage, funnels, sessions, and user journeys.

Is Vectr4 an alternative to Plausible, Umami, or Matomo?

Vectr4 overlaps with those tools on basic analytics, but it is positioned differently. Plausible, Umami, and Matomo are commonly used for website analytics, while Vectr4 is focused on self-hosted product analytics for SaaS products.

Is Vectr4 a self-hosted PostHog alternative?

Vectr4 can be used as a focused self-hosted PostHog alternative for indie SaaS teams that mainly need events, funnels, sessions, and user journeys without a broad enterprise product analytics platform.

Who is Vectr4 best for?

Vectr4 is best for indie hackers, bootstrapped SaaS teams, and technical founders who want useful product analytics on their own VPS without sending product usage data to another vendor.

How do you deploy Vectr4?

Vectr4 is designed to run on your own VPS with Docker Compose. The deployment docs explain how to start the analytics stack and run the dashboard and event ingestion API.

What is Vectr4?

A practical self-hosted analytics stack for early products.

Vectr4 is built for technical founders who want useful product signals without enterprise analytics overhead, cloud lock-in, or broad customer-data sharing.