PostHog
Ingests product data and runs AI agents to investigate issues and recommend product improvements.
- For
- Product teams building features and fixing issues with product analytics and session replay
- Price
- Free planpricing page, read 2026-09-18
- Use
- ≈ 24.7k visits a month · estimate, 2026-09
- Activity
- Activity not read yet
- Company
- founding year not on record
- Runs as
- API
- investigate why conversion metrics are declining using analytics
- review session replays to understand user checkout behavior
- track feature flag experiments and A/B test results
True WatchMonitors applications, infrastructure, and AI workloads with correlated telemetry and AI-assisted diagnostics.
Actively maintained
≈ 183 visits/moHuman BehaviorCaptures session replays, logs, traces and analytics from one SDK, with AI that identifies bugs and opens pull requests.
≈ 321 visits/mo
RevOSUnifies CRM, usage, and email data into a shared context for revenue teams and AI agents to monitor accounts and execute workflows.
Actively maintained
≈ 202 visits/moMonXCorrelates distributed traces and logs to identify root causes, then generates ranked fixes with code diffs and rollback plans.
Actively maintained
≈ 1 visits/moFoglamp HUDObservability platform that tracks cost, latency, and quality metrics for AI agents.
364 ★
Autonomous AI Discovery For Your DataRuns autonomous SQL agents against your data warehouse to discover insights, validate findings, and generate prioritized recommendations.
≈ 14 visits/mo
What is PostHog?
Ingests product data and runs AI agents to investigate issues and recommend product improvements.
Who is PostHog for?
Product teams building features and fixing issues with product analytics and session replay
How much does PostHog cost?
PostHog has a free plan, per its pricing page on 2026-09-18.
Do people use PostHog?
Widely used: ≈ 24.7k visits a month · estimate, 2026-09.
What are alternatives to PostHog?
In Developer tools, by use: True Watch, Human Behavior, RevOS, MonX, Foglamp HUD, Autonomous AI Discovery For Your Data.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one row at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.