Mixpanel

Read about our full vision for Mixpanel Headless and how it's built for the product analytics future we all want 👇 mixpanel.com/blog/mixpanel-…

The dashboard you used to check every Monday now checks itself. Introducing Mixpanel Headless: the entire Mixpanel product surface as a typed Python SDK, built for AI agents that need to do real work, not just answer questions. Early access is open 👇 mixpanel.com/ai/headless

Tomorrow! 30+ founders, PMs, and growth leads. One full day at Mixpanel London. Teams go from problem space to prototype using @Replit, with feedback from Mixpanel and ProductX on the product thinking behind every build. Last chance to register 👇 lnkd.in/ePAfdFvB

Mixpanel is live in the Replit MCP marketplace! Devs building on @Replit can pull product analytics into their agent workflows—no dashboard, no setup later, just data where you're building. See it in action at the London Hackathon on May 19. Register: events.mixpanel.com/hackathon-lond…

The teams who win today won't be the ones who ship fastest. They'll be the ones who learn the fastest. Mixpanel AI is built to solve for that. Learn more 👇 mixpanel.com/blog/mixpanel-…

Mixpanel AI Everywhere means the same intelligence works in Claude, Cursor, Slack, Notion, or any other tool your team works in. This is product intelligence that travels with you.

Introducing Mixpanel AI. It's your always-on product intelligence that thinks alongside you, watches your data constantly, surfaces what matters, and works wherever your team does. Mixpanel AI is built on three things 🧵

Read more about traditional product analytics vs. AI product analytics 👇 mixpanel.com/blog/ai-produc…

High engagement in an AI feature can be a 🚩 In traditional analytics: High engagement = users love it. In AI products: High engagement can mean the model keeps getting it wrong.

The moment someone decides to build a product is the same moment they should think about measurement. We worked with @stripe to make that actionable. Now developers & AI agents building in Stripe Projects can add analytics by provisioning Mixpanel in the same step as payments.

When teams are starting with Mixpanel & MCP, they often wonder: "What should I ask?" The better question: "What should I never have to ask again?" Prompts get you started. Skills make it repeatable. Here are 7 analysis skills to teach your AI agent 👇 mixpanel.com/blog/7-analysi…

AI analysts fail in production without behavioral context. We’re proud to join @AtlanHQ as a Context Layer Partner to fix this 🤝 mixpanel.com/blog/why-ai-an…

Learn more about Comments in Mixpanel: docs.mixpanel.com/docs/features/…

Introducing Comments in Mixpanel 💬 No more jumping between tools and losing context. Discuss and decide right where your data lives. See how it works 👇

Mixpanel is now on the Snowflake Marketplace ❄️ With our bidirectional integration, product & marketing teams can now access powerful behavioral analytics directly from their governed Snowflake data—no SQL required. Learn more 👇 mixpanel.com/blog/snowflake…

@stripe Check us out in the Stripe Apps Marketplace marketplace.stripe.com/apps/mixpanel-…

Developers build w/ Stripe. Agents build w/ Stripe. Now Mixpanel is in that stack. Live on @Stripe Projects: Add product analytics in the same step as payments. No backlog item, no extra onboarding, just Mixpanel, set up to understand your users, right where the build happens.

We recently launched the Mixpanel MCP server 🚀 But our teams have been dogfooding it long before that. Here are some ways we've found MCP changes how teams like engineering, product, and design get work done with Mixpanel 👇 mixpanel.com/blog/how-mixpa…