PostHog

StartupLaunched September 2026

The Story

PostHog is a product analytics platform that bundles several tools a product team usually buys separately: event analytics, session replay, feature flags, experiments, and surveys. The argument for bundling is that these tools answer related questions and are more useful when they share one event stream.

The analytics core is an event pipeline. A product sends events with properties, and the platform builds funnels, retention curves, and paths from them. Session replay records the interface alongside those events, so a drop-off in a funnel can be watched rather than only counted.

Feature flags and experiments read from the same user identity, which is what closes the loop: a flag can gate a change, an experiment can measure it, and the funnel shows the result. The platform is published as open source and can be self-hosted, though the self-hosted deployment is a heavier operational commitment than the hosted service.

Overview

PostHog's premise is that analytics, replay, and flags are one system, not four vendors.

Events are the foundation. An application sends an event with a name and properties, and the platform builds funnels, retention, and path analysis from that stream.

Session replay records the interface alongside the events. When a funnel shows a drop-off, the recording of a session in that step can be watched instead of inferred.

Feature flags and experiments read the same user identity the analytics use. A flag gates a change, an experiment measures its effect, and the funnel shows the outcome - which is the integration argument for choosing one platform over four.

Key Features

One event stream
Analytics, replay, flags, and experiments read the same events and identity.
Session replay
Recordings sit alongside the events, so a drop-off can be watched.
Feature flags
Flags gate a change and can be tied to an experiment.
Open-source core
The source is published in a public repository with a license file.

Where PostHog is a strong choice, and where it is not

Choose PostHog if you want analytics, replay, and flags to share one event stream, and you would rather not stitch together four vendors and their identity models.

Look elsewhere if you only need page-view analytics, or if a self-hosted deployment's operational weight is more than your team wants to carry.

Getting started

The SDK starts sending events in minutes; the work is deciding on an event taxonomy you will live with.

~10 min
Time to first event
Install the snippet or SDK and events start arriving. Insights are queryable immediately.
Free
Cost to start
The cloud free tier covers a monthly event allowance. Self-hosting is free but you operate ClickHouse.
Nothing
Prerequisites
An account for cloud. Self-hosting needs Docker and a machine with real memory.

Known limitations

Constraints confirmed from the project's documentation and pricing page.

Self-hosting is a serious commitment. ClickHouse and the surrounding services need real hardware and ongoing operations.
Event volume drives cost. Pricing scales with events, so an app that logs chatty events pays for them.
Depth varies by product. Analytics, replay, and flags are all competent, but a specialist tool may go deeper in any one area.
An event taxonomy is hard to change later. Renaming events after months of data means the history splits.

OUR VERDICT

Pick PostHog if you would rather consolidate than buy best-of-breed

One SDK and one event stream behind analytics, replay, and feature flags removes the integration work of running four tools.

The value is that a funnel, the replays inside it, and the flag that produced the variant all read from the same data. That makes questions answerable without exporting between vendors.

If you already run a mature warehouse-based analytics stack, or you need the deepest tool in one specific category, a specialist is the better choice.

FAQ

What is PostHog?

PostHog is a product analytics platform that bundles event analytics, session replay, feature flags, experiments, and surveys on one event stream.

Is PostHog open source?

Yes. The source is published in a public repository with a license file. Check the repository for current license terms.

Can I self-host PostHog?

Yes, though the self-hosted deployment is a heavier operational commitment than the hosted service. Check the documentation for current requirements.

Is PostHog free?

PostHog lists a free tier with monthly event limits alongside usage-based paid plans. Check the pricing page for current numbers.

What stack is PostHog built with?

CompassPad records PostHog as a Django and Python backend with a TypeScript and React front end on PostgreSQL and ClickHouse, based on the public repository.

What we checked

LIVE
Site and primary link
The marketing site resolved and the primary product link reached the product itself.
PRICING
Pricing page
The pricing page resolved and lists the current plans and limits.
DOCS
Documentation
Public documentation resolved and covers the product's core surfaces.
SOURCE
Source page
The linked source page resolved and is reachable without an account.

Discussion

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