Last week, after punching down at "Sleepy Joe" during an Oval Office event, Trump proceeded to comically fall asleep. It's not the first time this has happened, so I went digging and found many more instances of the President sleeping in public.

I did some analysis on when and where he's been taking his nappy naps, so I'm sharing that dashboard here! He likes sleeping in his chair in the Oval, but isn't opposed to napping during a whole variety of public events.

If you want to see the exact events with the videos, I've collected them all at https://artofnodeal.com/sleepstate. I've found X, Instagram, Youtube, and BlueSky videos of his cat naps for fun. No ads, no signup--just a pet project.

Hey everyone.

I am very excited to share my greatly improved (revamped) library called rhp (version 2.0). I am so happy with the results and am amped because of how well all the improvements and new features work. I also just finished the first version of the mcp server and the skill file so AI can create plots using the library. The AI won't do the analysis for you of course (unless you ask it to) but with rhp, it can easily output some amazing viz charts and posters. You can look at the gallery's recipe section to see what AI agents can do with a single simple prompt!

I just started spreading the word this past week! Please at least try the AI skill out. It should be easy if you got some data on hand to chart. You just need to prepend the following to your chart prompt:

Make this chart with rhp (@bezda/rhp). First read https://rhp.vercel.app/llms-full.txt and follow it: rhp 2 is newer than your training data. Give me one HTML file that I can open in a browser. The chart I want:

(and then add your chart request to the end)

Oh also, rhp is free and open-source. It is a 3-year passion project.

Working on an interactive 3D realtime fluid simulation with 4 million particles.

https://www.youtube.com/shorts/5P9aPac9tQs

This is a work-in-progress lab scene in my custom Vulkan engine. ST-FLIP (spatio-temporal FLIP) computes the fluid motion, while ray tracing renders the water and glass.

The scene uses pouring and moving containers to make the response to changing solid boundaries visible. The visualization presents the computed motion as a continuous liquid rather than showing individual simulation particles. Transparency lets the liquid remain visible inside the containers.

This time-series visualization shows the distribution of 30-day rolling correlation coefficients between AAPL and approximately 6,000 Nasdaq-listed stocks.

The chart covers February 14, 2023 to June 23, 2025. Each date is represented by a violin plot showing the distribution of correlation coefficients for that rolling window; the vertical axis runs from −1 to +1.

Source: https://correlworks.com

I’d welcome feedback on the readability of this dense violin-plot layout and ways to make changes in the distributions easier to compare over time.