In my first blog post about the Seestar S30 Pro, I documented its “first light” under a clear night sky. However, one important accessory was left untouched in the carrying case during that initial night session: the solar filter.

On the afternoon of July 14, 2026, the weather finally turned sunny, giving me the perfect opportunity to test the smart telescope during the day and catch a glimpse of our home star.

On July 4, 2026, I ordered a new smart telescope: the ZWO Seestar S30 Pro via Bresser.

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I am writing this post diary-style over several days and will only publish it once the telescope is delivered and I have captured the first images. This article will document the entire journey from ordering to the “first light”.

Anyone who spends a lot of time in the console knows the classics: cat for quickly viewing files and git diff for checking code changes. Both have served their purpose for decades, but visually they remain stuck in the past. Yesterday, I discovered two modern CLI tools and immediately installed them on my system to replace these classics: bat and delta.

Both tools are written in Rust, extremely performant, and elevate the rendering of code to a whole new level. Here is my tool presentation and how I have seamlessly integrated them into my Zsh and Git configurations.

To be honest, it’s just getting on my nerves: it has become an absolute matter of course that at the beginning of every conference call, there’s a five-minute wait to see if any more people deign to dial in.

I couldn’t help but think of a quote by Horst Lichter (from the German talk show Riverboat) that hits the nail on the head:

“You have irretrievably stolen 20 minutes from my finite life that I could not spend in a self-determined way. That really stuck with me for the rest of my life, so that no matter when, no matter where, I’m always early, because I can determine my own time, but I don’t want to steal other people’s.”

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In this post, I take a look at the collected data from my weather station. I have cleaned the CSV exports and transferred them into a SQLite database to create comparative statistics and charts.

It is amazing what you can see when you look at the data over several years (2022 to present). We are again a bit nerdy on the terminal, using Python and Matplotlib for the visualization.