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PostHog
Literally every piece of SaaS that a product engineer needs
5.0•256 reviews•2.6K followers
Literally every piece of SaaS that a product engineer needs
5.0•256 reviews•2.6K followers
PostHog aims to equip every developer to build successful products.
We do this by providing the tools teams need to capture events, analyze data, record user sessions, conduct experiments, deploy new features, track errors, run surveys, provision data warehouses, observe LLM-powered features, and more, all in one platform. And we're constantly shipping new things!
PostHog is the new way to build products. Not a more modern data stack. Not faster flags. Not prettier dashboards. Everything.
This is the 5th launch from PostHog. View more
PostHog Desktop
Launching today
A multiplayer workspace for you, your team, and your agents – with your product data as context, and PostHog tools to ship and measure. Build and edit your product | Run a fleet of agents | Turn product signals into PRs.
Free Options
Launch Team
PostHog Desktop (previously, PostHog Code) is an AI-powered product editor for product builders.
Problem: Most AI code editors lack real product context and start every session cold, so you’re still the one watching rollouts and catching regressions.
Solution: A multiplayer workspace where you, your team, and a fleet of agents build with your actual product data (logs, errors, session recordings, funnels, flags, experiments, tickets, etc.) as context.
What makes it different: It reads signals from production and turns them into shippable work, product signals go in, PRs come out. Unlike generic AI editors, it “knows your product” and can ship improvements while you sleep.
Key features:
Run a fleet of agents in parallel, with plan/auto modes and switchable models (Claude, Codex, open-weight).
Personal + team skills + skills marketplace, plus PostHog-maintained skills for events, flags, experiments, error tracking.
MCP marketplace integrations (GitHub, Slack, Linear, Figma, Stripe, Sentry, etc.).
Multiplayer channels with persistent memory so agents don’t need re-briefing.
Inbox that surfaces reports and pull requests from product signals.
Benefits: Less context-switching, faster iteration from idea → plan → PR, and more outcome-oriented work (you orchestrate, agents execute).
Who it’s for: Product builders and teams who want to move from writing code / prompting outputs to orchestrating outcomes with AI agents.
Use cases: Turning in-app activity, errors, funnel drop-offs, and support signals into concrete improvements and PRs; running parallel agent tasks across a shared workspace.
Try it on macOS (or other platforms) and read the docs.
P.S. I hunt the latest and greatest launches in tech, SaaS and AI, follow to be notified → @rohanrecommends