"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."
— RB
Making practical sense of software and AI.
AI, tractors and the productivity paradox
Where are AI's productivity gains hiding? What kitted out Model Ts can teach us.
What’s an inference provider?
How the rise of open source AI models is fueling the growth of a new infrastructure category.
I Let Claude Code Autonomously Run Ads for a Month
Applying the Ralph Wiggum loop to things other than writing code.
Inference
Inference is a fancy term that just means using an ML model that has already been trained.
Token
A token is the basic unit of a Large Language Model's vocabulary.
Machine Learning
Machine Learning uses math to predict an output given an input
ChatGPT
ChatGPT is a Machine Learning model, created and maintained by OpenAI, that generates paragraphs of text in response to prompts.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
What does Alteryx do?
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
What's a Data Migration?
Data migration is about transferring information (data) from one place to another.
Linear Regression
Linear Regression is an old school statistical method for predicting outcomes from a series of numbers.
ETL
ETL stands for Extract - Transform - Load, and it’s the process of moving data around your internal systems to get it ready for analysis.
OpenAI
OpenAI is the most popular provider of generative AI models like GPT-4.
dbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
ORM
An Object Relational Mapper is software that lets developers interact with their database in their programming language of choice – instead of SQL.
Multi-tenant
Multi-tenant simply means shared with someone else, like having a roommate in an apartment.
Elastic
Elasticsearch is a popular open source database for storing and searching unstructured data.
Confluent
Apache Kafka is a framework for streaming real time data, and Confluent offers Kafka as a managed service.
A Beginner’s Guide to Bring Your Own Cloud
The profitable but challenging deployment model sweeping the nation.
What's documentation?
How companies like Stripe win by writing better product docs, and where platforms like GitBook can help.
Developers hate this one thing (all about code reviews)
A deep dive into why code reviews take so long, how AI tools like CodeRabbit are speeding them up, and what great teams do to ensure clean code.
SSH
The Secure Shell Protocol is a (popular) way to securely connect to computers over the internet, usually in the context of powerful servers in the cloud.
Serverless
Serverless is a catch-all term for apps and products that don’t require you to manage your own servers.
UIPath
UIPath helps people automate rote manual tasks like updating spreadsheets and creating documents.
JFrog
JFrog provides a bunch of products and services around DevOps, i.e. taking your software and deploying it to the world.
VPN
A Virtual Private Network (VPN) lets you route your internet access through a specialized server that keeps your sensitive information private.
Tokenization
Tokenization is one of the ways that backends protect sensitive information, like credit cards or social security numbers.
Snyk
Snyk helps developers make sure that the code they're writing is secure.
Okta
Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.
"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."
— Adelaide Hallowell
Where are AI's productivity gains hiding? What kitted out Model Ts can teach us.
Sachin BennyShould I ship something myself, or call in engineering help?
Sarah Krasnik BedellHow the rise of open source AI models is fueling the growth of a new infrastructure category.
Will RaphaelsonApplying the Ralph Wiggum loop to things other than writing code.

Learn how AI detectors work
Christy Bieber
What are prediction markets and how much revenue is Kalshi really making?
Sam Schneider
And why is every startup around following the Palantir model?
Sung Won ChungWhat their products actually do and why they're so valuable.
Quick explanations of the concepts you see every day.

Kalshi just raised a new round at an $11B valuation. How much revenue does their prediction market really make?
Sam Schneider
What's the forward deployed engineer role, and why is every startup hiring them?
Sung Won ChungCurated collections of foundational articles to guide you through the basics of getting more technical at work.
How to understand and work effectively with AI and ML models and products.
Breaking down what ChatGPT and others are doing under the hood
How AI models learned to stop being weird and start being helpful.
GPT-3 is a Machine Learning model that generates text.
Data Science Notebooks help data teams explore data with code.
The products and business models of leading software companies.
What we should really be asking is “What does Databricks not do?”
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
OpenAI is the most popular provider of generative AI models like GPT-4.
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
How to make positive contributions to your product roadmap.
Engineering and code basics that can make you a better PM to work with.
Code is step by step directions, but for computers.
A network of computers all connected to each other and sharing information.
Cloud is how companies rent infrastructure over the internet.
You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.
There are 300+ databases; what do they all do?
If you’re not a data scientist but you have questions, you want to know SQL.
Why that schema change is going to take your engineers two weeks.
Why your feature is held up by a migration and why this is actually good.
How do these things actual work under the hood? What does it mean to train one? Is it more like going to the gym, studying for a test, or sleeping?
How computers learn patterns from data: the foundation for everything from stock price prediction to ChatGPT.
Breaking down what ChatGPT and others are doing under the hood
A deep dive into how models like ChatGPT get built.
Unlike an onion, hopefully these neural network layers won't make you cry.
How to make positive contributions when working with analytics and data science teams.
Product analytics is how teams instrument and analyze data about their product usage.
A deep dive into all of the tools that data teams use to do their work.
If you’re not a data scientist but you have questions, you want to know SQL.
The new set of tools data teams use to get their jobs done.