Ontra buying intent

We're just launched free live Claude Code Analytics workshops every week for the next two months. After this weekend I think people trying to learn this stuff alone are going to fall behind. We ran our first bootcamp this past weekend and I personally learned a ton from it. Not just from teaching. From the questions people were asking and how they were applying things I'd not thought to try. 70 people from 12 countries and every single one of them brought something different. When you're all building together, you compound off each other. Someone figures out a workaround and it becomes your new default. Or someone asks a question you hadn't considered and suddenly you're rethinking your whole approach. You can't get that from a blog post or a recording. We've been trying to get as much of this out there as we can. The open source AI Analyst repo (dozens of leading tech companies have implemented it at this point). The email courses (over 4,000 students). Free live workshops we've been running for months (ranging from 500 to 1,000 sign-ups each). But I really want to go harder on the live stuff. So for the next eight weeks we're doing a free Claud Code Analytics workshop every single week. Hour long and open to anyone. Not behind a paywall. What you'll learn: Apr 10 - Crack Product Sense & Analytics Interviews with AI Apr 17 - Opportunity Sizing in Claude Code Apr 24 - Analyze Metric Trade-offs in Claude Code May 1 - Build Slide Decks in Claude Code May 8 - Turn Insights to Action in Claude Code May 13 - Validate Claude Code Analytics Output May 20 - Root Cause Analysis in Claude Code May 29 - Build Custom Annotation UIs for Output Validation Things are changing so fast right now. Even me doing this every day I feel so freaking behind. That's kind of the whole point. None of us can keep up alone. If you can make it live, come build with us. If you can't, we'll send the recordings to everyone who signs up. LMK in the comments if you'd like to join the free Claude Code Analytics Workshop Series. I'll get you the link.

The way I used to prep for data science and product interviews is about to feel pretty dated and Sravya Madipalli is the reason... Tomorrow she's running a free one-hour session on using Claude Code for interview prep. She's been building this for months! Over 1,000 other people are signed up to join us. You tell Claude Code "I have a DoorDash Data Science interview in 7 days." It builds you a complete prep package. Real research on their business model. The full GOV metric tree decomposed from DoorDash's public earnings, the one in the screenshot. A deep dive on how they actually run experiments, including switchback tests for logistics and CUPAC for variance reduction. A 7-day structured study plan and a cheat sheet to read the morning of. Every branch of that tree is a potential interview question. "DashPass retention dropped" becomes a question about which factor moved. "GOV up but margins down" becomes a question about AOV shift or take rate. You walk the tree, find the branch, decompose the answer. The whole thing is company-specific. The numbers come from DoorDash's real public earnings, the techniques come from their actual data team, and the framing comes from their own analytics leadership. Not generic case questions. I've prepped for big interviews the hard way. Reading through their eng blogs. Searching through Glassdoor and Blind. Paying a bunch of money for interview prep sites and courses. Trying to remember what a metric tree should even look like for a company I don't work at. This is not that. Sravya is running the live demo tomorrow on cracking product sense and analytics interviews in Claude Code. Hai and I are on too. Around 1,000 people have already signed up and it's completely free. LMK in the comments if you want to join us live or get the recording and I'll DM you the link. Can't wait for people to see what she built.