The Heavybit Library
The Heavybit Library is an extensive catalog of educational content featuring hundreds of hours of expert presentations, insightful podcasts, and articles focused on helping technical founders achieve breakout success.
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Understanding Business Models & Defensibility in Open Source
First-Principles Business Models Matter for Open Source A key concern for open-source startup founders is defensibility–how to...
The Future of Coding in the Age of GenAI
What AI Assistants Mean for the Future of Coding If you only read the headlines, AI has already amplified software engineers...
The Data Pipeline is the New Secret Sauce
Why Data Pipelines and Inference Are AI Infrastructure’s Biggest Challenges While there’s still great excitement around AI and...
O11ycast Ep. #71, Evaluating LLM-based Apps with Shir Chorev of Deepchecks
In Episode 71 of o11ycast, Jessica Kerr and Austin Parker sit down with Shir Chorev to delve into the nuances of incorporating...
The Power User’s Guide to Open-Source Licenses
Licensing: A Key Trade-Off for Open Source Startups Why is Heavybit putting together this guide for open-source startup founders...
Machine Learning Model Monitoring: What to Do In Production
Machine learning model monitoring is the process of continuously tracking and evaluating the performance of a machine learning...
Enterprise AI Infrastructure: Privacy, Maturity, Resources
Enterprise AI Infrastructure: Privacy, Economics, and Best First Steps The path to perfect AI infrastructure has yet to be...
How to Launch a Dev-First Startup: First Principles
Welcome to the first article in our definitive series on how to launch a developer-first startup, featuring advice from veteran...
Machine Learning Lifecycle: Take Projects from Idea to Launch
Machine learning is the process of teaching deep learning algorithms to make predictions based on a specific dataset. ML...
AI Inference: A Guide for Founders and Developers
What Is AI Inference (And Why Should Devs Care?) AI inference is the process of machine learning models processing previously...
How LLM Guardrails Reduce AI Risk in Software Development
How LLM Guardrails Minimize the Risks of AI in Software Development Integrating Language Learning Models (LLMs) into software...
MLOps vs. Eng: Misaligned Incentives and Failure to Launch?
Failure to Launch: The Challenges of Getting ML Models into Prod Machine learning is a subset of AI–the practice of using...