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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How AI Is Reshaping Enterprise Infrastructure
At Heavybit, we invest in enterprise infrastructure. This is an evolution from our early days as developer tools specialists, but...
Synthetic Data for AI: Purpose and Use Cases
What to Know About Synthetic Data for AI Programs For software developers, large language models (LLMs) like ChatGPT can help...
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...
Why Events Are Important for Early-Stage Startups
For busy founders, it’s easy to see events as a big waste. Attending all-day events can pull founders away from the important...
Best Practices for Developing Data Pipelines in Regulated Spaces
How to Think About Data Pipelines in Regulated Spaces Tech teams standing up new AI programs, or scaling existing programs, need...
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...
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...
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 Create Data Pipelines
How to Create Data Pipelines Introduction to Data Pipelines In today’s data-driven world developers and product managers rely...
Personal Branding for Founders
Why Personal Branding? A lot of founders I’ve spoken to, especially those of us who are technical, bristle at the idea of...
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...
How to Launch a Dev-First Startup: Community & Leadership
Welcome to the second article in our definitive series on how to launch a developer-first startup, featuring advice from veteran...