Sean Ellis, author of Hacking Growth, writes about driving sustainable growth through data, experimentation, and deep customer understanding to optimize teams and turn product-market fit into lasting success.
I am an Information Architect and Semantic Engineer. I have been organizing and building digital knowledge ecosystems since 1997.
Intentional Arrangement is the name of my book Intentional Arrangement, to be published in 2026!
Gain the upper hand and see around corners with leading-edge AI content. Written by Vin Vashishta. Trusted by Founders and Top Tech Companies. AI strategy, products, and technical deep-dives.
In this newsletter I share patterns and ideas I’ve learned and synthesized over a long career in the field of data and decision science to help you make wiser decisions with data
No hype. No buzzwords. Just real data strategy, engineering, and leadership insights from 25 years in the trenches. If you’re tired of noise and want to actually understand how to build, scale, and lead with data—this is where you start.
Data Gibberish helps experienced data engineers and data leads handle stakeholder requests, scope pressure, and decision-making with scripts, checklists, and playbooks you can use immediately.
Pipeline To Insights is a community-driven blog by passionate Data Engineers, sharing real-world experiences, technical tutorials, and personal reflections to inspire growth and continuous learning in the evolving world of data and AI.
Weekly insights on overcoming resistance, reclaiming attention, and finding your rhythm as you build what matters.
Learn what's working on the practice ground through systematic experimentation and honest reflection from the messy middle of building.
Everyone talks about how you can go from junior to senior and progress your career after they make it to staff/manager and above. I decided to try a different approach and talk about my career journey as I live it.
Every week I share insights from top data leaders on the challenges of scaling data infrastructure. In addition, I aim to make this newsletter feel like you are talking to my guests one-on-one, as each question response includes the audio from my guest.
Join MLE Path, the podcast that explores what it truly means to grow and thrive as a machine learning engineer.
Hosted by an industry veteran with over 14 years of experience—including leadership roles at Adobe, Twitter, and Meta—this podcast brings you
Data isn't easy. It's incredibly complex. What is worse though, is nobody appreciates how complex it is. And nobody has really tried to solve it.
So enter this newsletter, tackling the must-know parts of the Data Ecosystem one topic at a time!
