Max Woolf is creating open-source code and making pretty charts.
11

patrons

$26
per month
"Data" has become the favorite buzzword of journalists and content marketers who show a simple chart to justify flimsy logic just for sweet, sweet pageviews.

As a result, data presentation, often including the terms "big data/"machine learning"/"deep learning" for extra appeal has become a popular tool for clickbait shenanigans. Since the data and methodology is rarely redistributed, it is impossible for others to verify the conclusions and learn from the data.

I intend to change that.

All my data and code for getting the data, processing the data, and visualizing the data, is open source for anyone to reference and improve upon. With Patreon funding, I will be able to take the scale off my data analysis to the next level, and expand my production to new mediums, such as video and live-streaming.

And perhaps a few other surprises as well.

About Me
I'm Max Woolf, a former Apple Software QA Engineer. I graduated from Carnegie Mellon University. In the 5 years since moving to the San Francisco Bay Area, I've written many, many blog posts on my personal blog, minimaxir, and posted many open-source code repositories on GitHub.

Why I Am On Patreon
The traditional feedback loop for teaching material on the internet is sell stuff -> get money -> use money to create better material -> get even more money -> repeat. Engineers often sell very expensive classes or eBooks and market very aggressively to facilitate this.

I refuse to add those annoying newsletter popups and write blog-posts-which-are-secretly-book-advertisements, as they are never a positive experience for readers. This unfortunately puts me at a competitive disadvantage in getting exposure, especially since I want to publish everything I make open-source and free and do not want to rely on the "mystery" of high-level data analysis.

Even though I am able to keep the cost of production down significantly, through methods such as using GitHub Pages for blog hosting and Kubernetes for efficient cloud resource utilization, the costs of running large data and apps are not zero, and can in fact be very expensive when machine-learning with GPUs in the cloud.

The goal of this Patreon is to subsidize the costs of development, not as a replacement for a full-time salary. (although if this Patreon has enough patrons, I'll adjust the scale of my projects accordingly)
Goals
$26 of $1,000 per month
Atleast 1 blog post/analysis a week.
1 of 1
"Data" has become the favorite buzzword of journalists and content marketers who show a simple chart to justify flimsy logic just for sweet, sweet pageviews.

As a result, data presentation, often including the terms "big data/"machine learning"/"deep learning" for extra appeal has become a popular tool for clickbait shenanigans. Since the data and methodology is rarely redistributed, it is impossible for others to verify the conclusions and learn from the data.

I intend to change that.

All my data and code for getting the data, processing the data, and visualizing the data, is open source for anyone to reference and improve upon. With Patreon funding, I will be able to take the scale off my data analysis to the next level, and expand my production to new mediums, such as video and live-streaming.

And perhaps a few other surprises as well.

About Me
I'm Max Woolf, a former Apple Software QA Engineer. I graduated from Carnegie Mellon University. In the 5 years since moving to the San Francisco Bay Area, I've written many, many blog posts on my personal blog, minimaxir, and posted many open-source code repositories on GitHub.

Why I Am On Patreon
The traditional feedback loop for teaching material on the internet is sell stuff -> get money -> use money to create better material -> get even more money -> repeat. Engineers often sell very expensive classes or eBooks and market very aggressively to facilitate this.

I refuse to add those annoying newsletter popups and write blog-posts-which-are-secretly-book-advertisements, as they are never a positive experience for readers. This unfortunately puts me at a competitive disadvantage in getting exposure, especially since I want to publish everything I make open-source and free and do not want to rely on the "mystery" of high-level data analysis.

Even though I am able to keep the cost of production down significantly, through methods such as using GitHub Pages for blog hosting and Kubernetes for efficient cloud resource utilization, the costs of running large data and apps are not zero, and can in fact be very expensive when machine-learning with GPUs in the cloud.

The goal of this Patreon is to subsidize the costs of development, not as a replacement for a full-time salary. (although if this Patreon has enough patrons, I'll adjust the scale of my projects accordingly)

Recent posts by Max Woolf