The developer's all-in-one product and data platform
HQ: San Francisco, CA, United States (remote-first) | Founded: 2020 | Employees: ~50–100 (remote, per public handbook) | Stage: Series E — $75M at $1.4B (Sept 2025, led by Peak XV); unicorn | Website: https://posthog.com
PostHog gives software teams everything they need to understand and improve their products, in one platform: product and web analytics, session replay, feature flags, A/B experiments, surveys, a data warehouse, error tracking and — newer — LLM analytics for AI features. It is open source, self-hostable, and famously generous: a free tier that covers most early-stage startups, and pricing that scales with usage rather than seats.
James Hawkins (a former rugby player turned founder) and Tim Glaser started the company in 2020 out of Y Combinator's W20 batch, initially as a privacy-friendly, developer-controlled alternative to Google Analytics-style tools. The insight that shaped the company: the buyer had changed. Engineers and product builders now pick their own tools, so PostHog built for them — open code, docs written like a friend, and a public handbook that includes the company's own metrics, org chart and even hiring mistakes.
The 'more products' strategy is deliberate bundling against single-tool SaaS. By keeping every product in one codebase and one data store, PostHog makes each additional tool nearly free to add — the opposite of stitching together five vendors. By early 2026 the approach had produced $57.5M ARR and a $1.4B valuation, with Stripe (Series D lead) and Peak XV Partners (Series E lead) on the cap table.
PostHog's strategy is embarrassingly simple to describe and very hard to copy: build every product a software team needs after shipping code, make it open source, price it cheaply, and publish everything — revenue, roadmap, even who you fired. Started in 2020 as a self-hostable product analytics tool by James Hawkins and Tim Glaser, it now spans a dozen products: analytics, session replay, feature flags, A/B testing, surveys, a data warehouse, error tracking and LLM observability.
The bundling works because engineers decide. Each PostHog product is good enough to beat a standalone competitor on its own, and once your data is in one place the switching cost compounds. Revenue hit $57.5M ARR by February 2026 (up about 99% year-on-year, per Sacra) — built largely on self-serve, usage-based plans that start free.
Capital followed the numbers: a $70M Series D at $920M led by Stripe in June 2025 ('unicorn adjacent,' the company joked), then a $75M Series E at $1.4B led by Peak XV Partners in September 2025 — actual unicorn status, taken with unusual reluctance.
The risk in 'all-in-one' is usually 'none of them deep enough.' PostHog's counter is velocity (it ships faster than single-product rivals) and a culture so public that its handbook is a marketing channel. The competitive set is wide — Amplitude and Mixpanel above, Datadog and Sentry adjacent, giants bundling everything — but PostHog keeps winning the engineer, which is where the decision increasingly starts.
Browse: Home | Blog | About | All Startups A-Z | View full profile on StartupWiki