US Job Market Visualizer
The US Job Market Visualizer on GitHub visualizes 342 occupations from the Bureau of Labor Statistics, representing 143 million jobs in the US economy. Each rectangle's area corresponds to total employment, with color coding for metrics such as projected growth outlook, median pay, education requirements, and AI exposure.
karpathy.ai
1 min
3/16/2026
A Visual Introduction to Machine Learning (2015)
Machine learning employs statistical techniques to automatically identify patterns in data, enabling accurate predictions. A model can be created using a dataset about homes to differentiate between homes in New York and those in San Francisco.
r2d3.us
7 min
3/15/2026
Does that use a lot of energy?
A tool provides estimates of daily energy consumption for various products and activities, measured in watt-hours (Wh). It aims to clarify the differences in energy usage to help users understand the impact of different activities on overall energy consumption.
hannahritchie.github.io
16 min
3/4/2026
AI agent opens a PR write a blogpost to shames the maintainer who closes it
The pull request replaces `np.column_stack` with `np.vstack().T` in the Matplotlib codebase. This change aims to improve performance and efficiency in array stacking operations.
github.com
5 min
2/12/2026
US Job Market Visualizer
The US Job Market Visualizer on GitHub visualizes 342 occupations from the Bureau of Labor Statistics, representing 143 million jobs in the US economy. Each rectangle's area corresponds to total employment, with color coding for metrics such as projected growth outlook, median pay, education requirements, and AI exposure.
karpathy.ai
1 min
3/16/2026
Does that use a lot of energy?
A tool provides estimates of daily energy consumption for various products and activities, measured in watt-hours (Wh). It aims to clarify the differences in energy usage to help users understand the impact of different activities on overall energy consumption.
hannahritchie.github.io
16 min
3/4/2026
A Visual Introduction to Machine Learning (2015)
Machine learning employs statistical techniques to automatically identify patterns in data, enabling accurate predictions. A model can be created using a dataset about homes to differentiate between homes in New York and those in San Francisco.
r2d3.us
7 min
3/15/2026
AI agent opens a PR write a blogpost to shames the maintainer who closes it
The pull request replaces `np.column_stack` with `np.vstack().T` in the Matplotlib codebase. This change aims to improve performance and efficiency in array stacking operations.
github.com
5 min
2/12/2026
US Job Market Visualizer
The US Job Market Visualizer on GitHub visualizes 342 occupations from the Bureau of Labor Statistics, representing 143 million jobs in the US economy. Each rectangle's area corresponds to total employment, with color coding for metrics such as projected growth outlook, median pay, education requirements, and AI exposure.
karpathy.ai
1 min
3/16/2026
AI agent opens a PR write a blogpost to shames the maintainer who closes it
The pull request replaces `np.column_stack` with `np.vstack().T` in the Matplotlib codebase. This change aims to improve performance and efficiency in array stacking operations.
github.com
5 min
2/12/2026
A Visual Introduction to Machine Learning (2015)
Machine learning employs statistical techniques to automatically identify patterns in data, enabling accurate predictions. A model can be created using a dataset about homes to differentiate between homes in New York and those in San Francisco.
r2d3.us
7 min
3/15/2026
Does that use a lot of energy?
A tool provides estimates of daily energy consumption for various products and activities, measured in watt-hours (Wh). It aims to clarify the differences in energy usage to help users understand the impact of different activities on overall energy consumption.
hannahritchie.github.io
16 min
3/4/2026
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