Software companies buying software: a story of ecosystems and vendors #SoftwareEngineering #Tech #Business
It's hard to write code for computers, but it's even harder to write code for humans #SoftwareEngineering #Programming #HumanComputerInteraction
Predicting solar eclipses with Python #Python #Science #Data
Simple sabotage for software #SoftwareEngineering #Tech #Productivity
What I have been working on: Modal #SoftwareEngineering #Data #Technology
We are still early with the cloud: why software development is overdue for a change #CloudComputing #SoftwareDevelopment #Tech
ฯ-driven project management: when is the optimal time to give up? #DataScience #ProductManagement #Engineering
Storm in the stratosphere: how the cloud will be reshuffled #CloudComputing #Tech #Infrastructure
What is the right level of specialization? For data teams and anyone else. #DataScience #SoftwareEngineering #ProductManagement
Building a data team at a mid-stage startup: a short story #DataScience #Startup #Engineering
Software infrastructure 2.0: a wishlist #SoftwareEngineering #Infrastructure #Tech
What's Erik up to? #SoftwareEngineering #DataScience #Tech
Giving more tools to software engineers: the reorganization of the factory #SoftwareEngineering #ProductDevelopment #Tech
Developer experience as a competitive advantage #SoftwareEngineering #DeveloperExperience #Tech
Mortality statistics and Sweden's "dry tinder" effect #Data #Statistics #Sweden
How to set compensation using commonsense principles #Compensation #Tech #Management
Never attribute to stupidity that which is adequately explained by opportunity cost #Tech #SoftwareEngineering #Data
How to hire smarter than the market: a toy model #Hiring #DataScience #Tech
What can startups learn from Koch Industries? #Startups #Business #Strategy
We're hiring at Better #Hiring #Tech #Engineering
Buffet lines are terrible, but let's try to improve them using computer simulations #Tech #DataScience #Productivity
Miscellaneous unsolicited (and possibly biased) career advice #Career #Advice #Tech
Modeling conversion rates using Weibull and gamma distributions #DataScience #MachineLearning #Statistics
Why software projects take longer than you think: a statistical model #SoftwareEngineering #DataScience #ProjectManagement
Headcount goals, feature factories, and when to hire those mythical 10x people #Engineering #Management #Hiring
Data architecture vs backend architecture #DataArchitecture #SoftwareEngineering #Backend
The hacker's guide to uncertainty estimates #DataScience #MachineLearning #Tech
I don't want to learn your garbage query language #Data #SoftwareEngineering #Databases
Business secrets from terrible people #Business #Ethics #Leadership
New approximate nearest neighbor benchmarks #MachineLearning #DataScience #AI
Missing the point about microservices: it's about testing and deploying independently #SoftwareEngineering #Microservices #DevOps
Interviewing is a noisy prediction problem #DataScience #MachineLearning #Hiring
Waiting time, load factor, and queueing theory: why you need to cut your systems a bit of slack #QueueingTheory #SystemDesign #Performance
Lessons from content marketing myself (aka blogging) for five years #Blogging #ContentMarketing #SoftwareEngineering
New benchmarks for approximate nearest neighbors #MachineLearning #DataScience #Algorithms
I'm looking for data engineers #DataEngineering #Hiring #SoftwareEngineering
Books I consumed in 2017 #Books #Reading #PersonalGrowth
Plotting author statistics for Git repos using Git of Theseus #SoftwareEngineering #DataScience #Git
Toxic meeting culture #SoftwareEngineering #Productivity #WorkCulture
Learning from users faster using machine learning #MachineLearning #DataScience #SoftwareEngineering