For product engineering teams who want analytics, replay, and experimentation in one tool, PostHog is an open-source product analytics platform that combines event tracking, session replay, feature flags, and A/B testing, and can be self-hosted for full data control.
Presence & Market Position
GTM Adjacent — tracked and scored as a comparator, never ranked.
Measures earned, engagement-weighted share of voice across the GTM voices panel. Methodology →
PostHog is working to occupy the ground of a single AI-native product toolkit, folding analytics, session replay, feature flags, and experimentation into one surface, with a growing pitch around agents that read usage data and act on it directly rather than surface it for a human to interpret. Its presence in the conversation is heavy and steady, carried largely through practitioner tool-stack references, where it's a default pick alongside analytics and testing tools in early-stage and YC-adjacent builds, and through workflow examples where its accounts get provisioned programmatically inside AI-built products. Its unconventional marketing operation, including a retro-styled site rebuild and public spend breakdowns, draws its own commentary as a growth case study.
MongoDB
ClickHouse
BigQuery
Neo4j
FivetranY Combinator, ElevenLabs, Supabase, Lovable, ResearchGate, Hasura, Exa
Work at PostHog? Claim this profile to add customers and case studies.
Business Profile
PostHog started in 2020 out of Y Combinator, launching an analytics MVP on Hacker News within a month and building outward from there into a broader product suite spanning session replay, feature flags, and experimentation. It has stayed independent through several funding rounds that pushed its valuation to $1.4B by October 2025, with reported ARR of $57.5M as of February 2026. The company describes itself as building for the long run rather than toward an exit, with a workforce of roughly 200 people and a customer base weighted toward YC-network startups.
Agent Readiness
Measures how easily your agents can build on it — API, MCP, CLI, SDK, docs depth. Methodology →
PostHog has built agent-facing surfaces across the board: a full API, an MCP server, an SDK, and a CLI, and has begun framing its core product around agents that act rather than just report, positioning tools inside the platform as built for autonomous use. Its MCP server is referenced as a way to pull PostHog data into cross-tool agent workflows alongside other business systems.
IS THIS YOUR BRAND?
Claim this profile
Fact-check your data, add context, and earn the verified badge — free, takes minutes, work email required.
Claim PostHog →