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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Platform Builders Ep. #6, Making Accounting SaaS Sexy Again with Brad Rigby
In episode 6 of Platform Builders, Christine Spang and Isaac Nassimi chat with Brad Rigby about Canopy’s strategic shift from a...
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...
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 to Properly Scope and Evolve Data Pipelines
For Data Pipelines, Planning Matters. So Does Evolution. A data pipeline is a set of processes that extracts, transforms, and...
How Startup Founders Should Think About Local-First Dev
What Local-First Dev Means for Startup Founders If you’re a startup founder, you’re always looking for some kind of edge–a way...
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...
AI’s Hidden Opportunities: Shawn "swyx" Wang on New Use Cases and Careers
This article covers thoughts from AI engineering expert Shawn "swyx" Wang on new opportunities in AI for use cases and engineers...
The Role of Synthetic Data in AI/ML Programs in Software
Why Synthetic Data Matters for Software Running AI in production requires a great deal of data to feed to models. Reddit is now...
How Local-First Development Is Changing How We Make Software
What Local First Is, and Why It Matters Local-first development is a development ethos that keeps data and code on your device...
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...
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...