
A place for insight about the intersection of data, product, and AI for data, engineering, and product leaders and practitioners.
| Platform | Pricing | Only free issues | Publishes | Weekly | |
|---|---|---|---|---|---|
| Issues | 67 | Founded | 5 years ago | Last Issue | 17 days ago |
| Active | |||||

AI-enabled prototypes feel fast, magical, and inspirational. But because they reduce the gap to “ship it to prod”, I think the danger is that we ship more and more things we (and our customers) don’t need.
Let’s use a basic (internal) exa...
I bet your company wants an AI strategy. Not just a strategy, but the right one. I also bet that they might disagree about the problem AI is supposed to solve. The disagreement doesn’t initially show up because ever...
“Why can’t we just move faster?” Heard that before? Take a short trip with me.
Scene 1: A data scientist on an AI product team has an idea for a model change that could improve a customer-facing decision. The change is small. They think it...
“Is this working?”
A few years ago, I wrote a piece called “A Data Product’s North Star Metric.” The question that the piece tried to answer was the one every executive eventually asks: how will we know if this is working? The answer was h...
Every conversation about AI in data and engineering orgs right now is about tools. Too few are about the operating model that needs to come with them. That gap is the next failure mode.
I have lost count of ho...
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The writers behind this newsletter.
I'm a builder and leader who has spent his career in data and product at Grammarly, StitchFix, Yelp, and LinkedIn. I'm using that experience to share my hypotheses about what comes next.
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