"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.
Reasoning
AI reasoning is how artificial intelligence systems solve problems, think through complex situations, and draw conclusions from available information.
GPU (Graphics Processing Unit)
GPUs are specialized chips that do thousands of simple calculations simultaneously, making them perfect for AI training
Post-training
LLM post-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.
LLM
Large Language Models take in a prompt and generate text.
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.
Reverse ETL
Reverse ETL is the process of syncing data from your data warehouse to your business tools like Salesforce and Hubspot.
Linear Regression
Linear Regression is an old school statistical method for predicting outcomes from a series of numbers.
Alteryx
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
Snowflake
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
Relational database
A relational database is sort of like Excel, but for developers: it’s how applications store and analyze data.
Schema
A schema is like the blueprint for a relational database.
Algolia
Algolia provides a set of tools that helps engineers build search functionality into their apps.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
What's a Package Manager?
And why are AI labs buying them up?
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.
Infrastructure
Infrastructure is a loose term that developers use to refer to the lower level components that hold up an application.
Kubernetes
Developers use Kubernetes to turn their individual containers and virtual machines into full fledged, working applications.
Heroku
Heroku was and is one of the first cloud platforms as a service (PaaS).
AWS
AWS is the premier cloud provider - they sell the infrastructure building blocks to build modern apps.
Tokenization
Tokenization is one of the ways that backends protect sensitive information, like credit cards or social security numbers.
VPN
A Virtual Private Network (VPN) lets you route your internet access through a specialized server that keeps your sensitive information private.
Okta
Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.
Snyk
Snyk helps developers make sure that the code they're writing is secure.
"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."
— Adelaide Hallowell

The web framework your next vibe-coded app will probably be built in.
Justin GageAnd why are AI labs buying them up?
Will RaphaelsonWhere 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 Raphaelson
The profitable but challenging deployment model sweeping the nation.
Will Raphaelson
Learn how AI detectors work
Christy Bieber
What are prediction markets and how much revenue is Kalshi really making?
Sam SchneiderWhat 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.