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Founder @teamSundial. Angel investor. Author of "The Making of a Manager" amzn.to/2PRwCyW. Obsessed with systems. Design + data person.

997 following174k followers

The Thought Leader

Julie Zhuo is a design-and-data-driven leader: founder of TeamSundial, angel investor, and author of "The Making of a Manager." She distills product thinking and management systems into clear, actionable threads and practical advice. Her feed is a steady mix of career hacks, leadership frameworks, and design smarts.

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She’s the kind of person who would write a 12-step flowchart for feelings, A/B test gratitude, and then publish a thread about the optimal way to apologize, meticulously helpful, slightly terrifying to spontaneity.

Authored the widely-read book "The Making of a Manager," built a loyal audience of ~174K followers, and translated senior product/design experience into repeatable lessons that scale influence.

To elevate how people build and lead products and teams by turning messy experience into repeatable systems, teaching managers and makers how to think clearly, ship responsibly, and grow others along the way.

Values clarity, systems over heroics, and learning-by-doing; believes great teams accelerate personal growth (even if that growth comes with impostor feelings), that product thinking is a superpower for designers and PMs, and that generosity in sharing knowledge scales impact.

Turns complex ideas into crisp threads; excels at product thinking and systems design; credible voice backed by a bestselling book and founder experience; consistent, practical communicator who earns strong engagement.

Can read as overly systemized or perfectionist, sometimes trading raw authenticity for tidy frameworks; prone to imposter-style candidness that underscores strengths but can be misread as self-doubt; long-form threads may limit bite-sized viral copy.

Keep the thread strategy but amplify formats and community signals: pin your best threads (book excerpts, frameworks), create short video clips or voice notes summarizing key threads, host regular Spaces or AMAs to humanize the brand, serialize book chapters into weekly micro-threads, turn quotable lines into image cards for easy sharing, reply more in public to build community momentum, experiment with polls to surface audience priorities, and repurpose high-engagement threads into an X newsletter to convert followers into deeper readers.

Author of "The Making of a Manager" and founder of TeamSundial; obsessed with systems and product thinking; commands an audience of ~174K followers and routinely turns advice into high-engagement threads.

Top tweets of Julie Zhuo

Most engaged tweets of Julie Zhuo

Sundial has raised $23M to build the analytics platform for the AI era! Our work is personal to me (though many have asked: Why? Aren't you into intuition and taste and experience which is ultimately unmeasurable?) But hear me out: I love building, and I have a deep respect for it. Making something people love is one of the hardest and most humbling endeavors. The art comes down to making high-quality decisions, which comes from an obsession with the cliff’s edge between customer understanding and product capability. You need to know what’s working and what isn’t. That’s why data matters. Data is *information* about how reality works. At Sundial, we live by the mantra: diagnose with data; treat with design. What does masterful decision-making look like? It comes down to 3 things: 1. extreme alignment 2. shared curiosity to unpeel deeper and deeper layers of truth 3. urgent execution The very fact is that good intuition and taste comes from data internalized across many, many reps. Yes, reality is infinitely more complex than what can be measured. But measuring gives us a better grasp of reality. Alas, using data well is like learning a new language. It requires years of skill and context building. It's easy to misuse, whether misguidedly or intentionally. I know this all too well. Mastery requires everything from how to break down an ambiguous question, to fluently reading triangle charts and dense tables, to remembering the specific name of a specific column using a specific dialect of SQL. Too many people, like me, regularly feel frustrated by a) how long it takes to get answers b) how to draw the right interpretations c) how much noise I have to wade through to find actually actionable insights. Instead of greater confidence and quality, we get conflicting signals, cherry-picked facts, and analysis paralysis. Sundial is our attempt to solve those problems. We’re bottling up opinionated intelligence to guide decision-makers towards faster and more confident decisions. We envision a world where *everyone* can be their own expert analyst. Sundial uses AI and expert analytical techniques to make insights accessible to every decision-maker. Exemplary analysis takes the listener through a story. Data should speak the language of business, not the other way around. Sundial is also smart in the ways you’d expect of an AI-native tool. It’s not just about looking up data (“What’s India ARR last month?”), which has become table stakes; rather, Sundial can also tackle deep, complex analysis (”Why did ARR decline? What are my levers?”). In a crowded landscape of fragmented data tools—dashboards, notebooks, ETL systems—Sundial brings it all together into one intuitive platform. We believe this era of AI will see teams doing far more with less, and moving faster than ever before. Our mission is to build the data brain for the next generation of AI-powered companies. We're thrilled to be backed by @dpatil at GPV—the first U.S. Chief Data Scientist and coiner of the term "data scientist”, alongside industry luminaries like @amasad, @tobi, @fidjissimo, @alexschultz, @shishirmehrotra, @rsanghvi, @avichal, @drewhouston, @howietl and firms including @sequoia, @TribeCapital_, @sunflowercptl, @Unusual_VC. The best part of building Sundial is the people we get to work with. Funding announcements are nice and all, but what really fuels us is the feedback and growth trajectory of our customers. There’s nothing better than working on interesting problems with people you like. Onward! (P.S. We’re hiring for AI engineers, data engineers, and data scientists in the Bay Area -- DM me if you resonate with our mission, love dissecting big problems down into smaller ones, and appreciate the consistent practice of craft.)

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