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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LLM Fine-Tuning: A Guide for Engineering Teams in 2025
General-purpose large language models (LLMs) are built for broad artificial intelligence (AI) applications. The most popular...
Data Council 2025: The Data Science & Algorithms Track with Sean Taylor and Jesse Robbins
Heavybit is thrilled to be sponsoring Data Council 2025, and we invite you to join us in Oakland from Apr 22-24 to experience 3...
How to Think About Positioning for Open Source
Positioning Open Source for Your Community (and Yourself) Why is Heavybit posting this extensive interview on thinking through...
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...
Platform Builders Ep. #4, Building Affinity: From College Dropout to SaaS Leader with Ray Zhou
In episode 4 of Platform Builders, Christine Spang and Isaac Nassimi interview Ray Zhou, co-founder of Affinity, about his...
The Kubelist Podcast Ep. #45, Live from KubeCon 2024
In this special episode of The Kubelist Podcast, recorded live at KubeCon 2024 in Salt Lake City, hosts Marc Campbell and Benjie...
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...
How to Launch a Dev-First Startup: Day-to-Day Tactics
Welcome to the third article in our definitive series on how to launch a developer-first startup, featuring advice from veteran...
Data Council 2025: The Foundation Models Track with Dr. Bryan Bischof and Tom Drummond
Heavybit is thrilled to be sponsoring Data Council 2025, and we invite you to join us in Oakland from Apr 22-24 to experience 3...
Navigating Markets in Open Source As Your Startup Matures
What to Consider About Market Forces in Open Source Why is Heavybit posting this extensive interview about how to navigate...
Enterprise AI Infrastructure: Compliance, Risks, Adoption
How Enterprise AI Infrastructure Must Balance Change Management vs. Risk Aversion 50%-60% of enterprises reportedly “use” AI,...
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...