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Plenty of tools promise self-driving. PostHog actually delivers it, because every product signal already lives in one place.

Bug at midnight. Cones out by 3am. Draft PR by 6am. PostHog reads the error and opens the fix based on your product's own signals.

Your hardest worker this week didn't sleep and didn't complain. It read the errors and opened the draft PRs unprompted, overnight.

A coding agent that's read your session replays and error logs makes very different decisions. That's the whole point.

Context-switching between ten dashboards and your editor all day? Heck no, amigo.

Pull cancellation dates from Stripe, line up the 30 days before each one, and find the usage drop that gave it away.

Spot at-risk accounts before they cancel, then let PostHog roll out the save flows while you sleep. Self-driving churn defense. Some assembly required.

Every cancellation left a trail: the usage drop in the 30 days before it. Join your Stripe and product data and see the next one coming. No pipelines.

INTÄKT is Swedish for the thing you need more of. Find the features that drive it. Context Warehouse joins Stripe and product data, no pipelines.

KANAL is Swedish for channel. Find the ones that bring customers who last. Attribute on UTM, join Stripe revenue and ad spend, one modeled query.

Put your AI under the microscope. PostHog catches every LLM call, the cost, the latency, and the one tool call that quietly broke. Nothing gets past the hedgehog.

PostHog watches every call your AI makes to an LLM: prompt, response, tokens, cost, latency, the tools it reached for. Traces you can actually read.

Your LLM traces, session replays, error tracking, and eval scores in one platform. Not four dashboards that don't talk. That's PostHog AI observability.

One user said they're never going back. PostHog ties every LLM trace to the session replay and the user behind it, in one platform instead of four.

PostHog watches every LLM call, catches the cost or latency regression when your baseline shifts, writes up the investigation, and opens the fix. Case closed.

please and thank you were free. the tool calls were not. check costs w/ evals in PostHog AI Observability.

Don't forget to run evals and study up for your next in-person meeting.

Don't let it come to this. Compare costs and outputs with PostHog AI Observability.

Context Warehouse combines data storage and tooling with no pipelines to maintain, built for agents to use. Join your Stripe and product data and find the features driving revenue.

Context Warehouse combines data storage and tooling with no pipelines to maintain, built for agents. Join your UTMs, Stripe revenue, and ad spend to see which channels bring customers who last.

Context Warehouse combines data storage and tooling with no pipelines to maintain, built for agents. Join your billing and product data and turn "why did they churn" into "these accounts are about to."

Context Warehouse combines data storage and tooling with no pipelines to maintain, built for agents. Join your UTMs, Stripe revenue, and ad spend to see which channels bring customers who last.

Context Warehouse combines data storage and tooling with no pipelines to maintain, built for agents. Join your billing a…

The data your coding agents need is already in PostHog. Clean MCP access hands them every product signal, no wrangling required.

Simple, clean, and your agents can actually use it over MCP. A real user called PostHog their new favorite. The cowboy hat was our idea.

Your agents pull PostHog data over MCP. PostHog goes further: it diagnoses problems, fixes bugs, and opens pull requests unprompted.

No credit card. No quick calls. No blood ritual. Get 1M feature flag requests per month.

No credit card. No quick calls. No blood ritual. Get 1M feature flag requests per month.

No credit card. No quick calls. No blood ritual. Get 1M feature flag requests per month.

Profitability - so hot right now.

Profitability - so hot right now.

Profitability - so hot right now.