Here are some of the most recent posts.
The evolution of software engineering: From FORTRAN to LLMs
February 20, 2026
Revisiting Moneyball: Data, sports, payrolls, and memes
July 24, 2025
Magic link authentication with AI: Introducing the data room app
July 20, 2025
Lessons in AI coding: Building a data room app
June 20, 2025
Startup advice: Lessons from building General Folders
August 12, 2024
The state of data exchange: A survey of data transfer and sharing methodology
April 3, 2023
Models for integrating data science teams within organizations: A comparative analysis
July 31, 2019
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The evolution of software engineering: From FORTRAN to LLMs
February 20, 2026
Startup advice: Some lessons I learned while building General Folders
August 12, 2024
The state of data exchange: A survey of data transfer and sharing methodology
April 3, 2023
Public speaking best practices: Towards more engaging conference talks
February 22, 2023
Interfaces and bundle boundaries: Categorizing design decisions in enterprise product development
August 31, 2022
Highly effective data science teams: A list of seven habits
July 21, 2022
Challenges in data sharing and transfer: Case I. Evaluating AI platforms
March 5, 2022
Citations and coverage: Data Engineering Weekly #80 (Ananth Packkildurai), What I learned from attending Tecton’s apply(meetup) 2022 (James Le)
Batter plate discipline: It doesn’t pay to swing at every pitch
September 9, 2021
(Data ∩ Water) Terms: All at sea, exploring the data dictionary
July 19, 2021
Citations and coverage: Building Recommendation Systems in Python and JAX, Chapter 5
Models for integrating data science teams within organizations: A comparative analysis
July 31, 2019
Citations and coverage: University of Virgina Data Science, 97 Ways (Matt Wright), Beyond the POC: How to Make Machine Learning Real in the Enterprise (Sam Charrington), Projects to Know (Amplify Partners — Sarah Catanzaro), The Data Science Roundup (Fishtown Analytics — Tristan Handy), Normcore Tech (Vicki Boykis), Femstreet (Sarah Nöckel), Linear Digressions, Analytical IQ (Adam Lorton), Hex Blog (Hex — Barry McCardel), Full Stack Deep Learning, The ML Times, nibble dispatch, Hiring Data Scientists and Machine Learning Engineers: A Practical Guide (Roy Keyes), Blog Cast (Sam Bail), dbt Blog (Erin Vaughan & Janessa Lantz), Building The Modern Data Team (Pedram Navid), Data Science Org Design for Startups (Nirant Kasliwal), On Search Leadership (Daniel Tunkelang), Building A Data Platform From Scratch At Collectors (Sam Bail), Modern Data Teams Hub (Amplify Partners — Emilie Schario)
Data science team sizing and allocation: An algorithm
July 29, 2019
SF Engineering Leadership Community Summit 2019: Some notes from the gathering
January 28, 2019
Management best practices: A list of 20 things
December 18, 2018
Q&A with Steven Sinofsky at Twitter HQ: Developing cross-functional teams
November 16, 2018