PostHog
PostHog is building a self-driving product platform: a single context layer that captures product analytics, errors, replays, business data and AI signals so product teams and agents can understand what is happening and ship improvements. Its stated mission is to increase the number of successful products in the world.
At a Glance
- Software startups
- Developer and product teams
- B2B and B2C SaaS
- AI/LLM application builders
- +3 more
AI Tools by PostHog
(2)
Jeeves
Open Source LLM Decision Classifier
PostHog
Open Source Product Analytics
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Latest News
PostHog raised a $75M Series E at a $1.4B valuation, led by Peak XV Partners, becoming a unicorn.
PostHog announced a $70M Series D at a $920M valuation led by Stripe, plus a smaller Series C for employee liquidity and founder control.
PostHog launched PostHog Desktop as part of its move toward a self-driving product platform.
PostHog announced its Vercel integration for feature flags without the plumbing.
Products & Services
Event-based product analytics for funnels, retention, trends, paths, lifecycle and user behavior.
Web and mobile session recordings connected to analytics, errors, flags and user context.
Feature rollout controls, targeting, early-access features and A/B experimentation.
Error capture, application logs, tracing and debugging for software teams.
Market Position
PostHog positions itself as a developer-first, open-source and product-led alternative to point tools such as Amplitude and Mixpanel (analytics), LaunchDarkly (feature flags), FullStory and Hotjar (session replay), and Sentry (error tracking). Its differentiation is combining analytics, replay, flags, experiments, errors, logs, warehouse/context data and AI in one platform, with transparent usage pricing and a large free tier.
Leadership
Founders
James Hawkins
Co-CEO and co-founder. Previously founded an online marketing company and was VP of Sales at Arachnys, where he sold enterprise software; he met Tim Glaser there.
Tim Glaser
Co-CEO and co-founder. A longtime software engineer who previously worked at Arachnys as an engineer, product manager and R&D lead; before PostHog he had also been CTO of two startups and co-founded a social dining platform.
Executive Team
James Hawkins
Co-CEO and Co-Founder
Former VP of Sales at Arachnys and founder of an online marketing company; leads company vision with Tim Glaser.
Tim Glaser
Co-CEO and Co-Founder
Former engineer, product manager and R&D lead at Arachnys; previously CTO of two startups and a software entrepreneur.
Board of Directors
Founding Story
James Hawkins and Tim Glaser began working together on startup ideas in August 2019 after earlier attempts, including a technical-debt product, failed. They concluded that growth could be treated as an engineering problem and that engineers needed a way to see the effect of what they build. PostHog was their sixth idea, built during YC Winter 2020; they released the MVP on Hacker News about four weeks after writing the first line of code, initially as open-source/self-hosted product analytics.
Business Model
Revenue Model
Usage-based SaaS: all paid products charge for usage above product-specific monthly free allowances; PostHog also offers open-source/self-hosted software and paid cloud capabilities. The company says 97% of customers use it for free.
Pricing Tiers
No credit card required; monthly allowances include 1M analytics events, 5K session recordings, 1M feature-flag requests, 100K error exceptions, 100K AI observability events and other product allowances.
Examples shown on PostHog pricing include $0.00005 per analytics event, $0.005 per session recording, $0.0001 per feature-flag request and $0.000015 per warehouse row; actual product rates and free allowances vary.
Target Markets
- Software startups
- Developer and product teams
- B2B and B2C SaaS
- AI/LLM application builders
- Mobile and web product companies
- Growth, marketing, sales and customer-success teams
- Product teams measuring activation, retention and conversion
- Engineers debugging errors and understanding user behavior
- Safe feature releases and experimentation
- AI product teams monitoring LLM quality, latency and cost
- Startups consolidating analytics, replay, flags, experiments and observability
- Customer, sales and marketing teams unifying product and business data
- Y Combinator
- Airbus
- Lovable
- StartEngine