On commercializing nbdev

2023-05-30 · Source: Hamel Husain's Blog · Field: Technology & Digital — Software Development & Engineering, Artificial Intelligence & Machine Learning, Entrepreneurship & Start-ups · Depth: Intermediate, medium

Summary

The author explains the decision not to commercialize nbdev, a Jupyter-based software development framework for Python that supports literate and exploratory programming. Developed from 2020-2023, nbdev faced significant adoption barriers, primarily due to friction in onboarding engineers into existing Python project ecosystems and collisions with standard software development stacks, particularly around version control and code review for notebooks on platforms like GitHub without additional tools like ReviewNB. Initial commercialization ideas, such as a "WordPress for developers" hosted platform, were explored. However, a major shift in the machine learning landscape towards Generative AI, especially Stable Diffusion and later ChatGPT, redirected fast.ai's focus and the author's client work towards operationalizing large language models, ultimately leading to the decision to step away from nbdev commercialization.

Key takeaway

For entrepreneurs or product managers evaluating new developer tools, you should rigorously assess market conviction and integration friction early on. The challenges nbdev faced with onboarding and existing software stacks highlight that even innovative tools struggle without a clear path to adoption and a strong business model. Be prepared to pivot when external market shifts, like the rise of Generative AI, fundamentally alter the landscape or your team's focus.

Key insights

Commercialization requires strong market conviction, not just project passion or team excitement.

Principles

• Listen to your instincts.
• Don't be afraid to pivot.
• Cultivate your distinct professional brand.

In practice

• Evaluate market fit beyond personal utility.
• Assess integration friction with existing dev stacks.
• Prioritize projects with clear business models.

Topics

• nbdev
• Jupyter Notebooks
• Literate Programming
• Software Development Tools
• Generative AI Adoption

Best for: Software Engineer, Product Manager, Entrepreneur

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Editorial summary, takeaway, and curation by AIssential. Original article published by Hamel Husain's Blog.