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 to Start an Open-Source Project
How to Start an Open-Source Project Why is Heavybit posting a first-principles guide on how to create an open-source project?...
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...
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...
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...
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...
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...
Educate Technical Audiences With Template Marketing
Rapidly Educating Technical Audiences with Templates I’ve spent most of my career learning how products work using other...
How to Successfully Fork an Open-Source Project
Why is Heavybit writing a startup guide to forking open-source projects? Because while open source has been an incredible boon 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...
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...