
Nimbus
Dynamic wallpaper manager that reacts to the outside world.
What it does
Nimbus is a desktop app that changes your desktop wallpaper dynamically with the world around you. Nimbus reacts to local weather and time, creating the perfect desktop environment for any moment. Use our handmade wallpaper pack to match any weather condition, or upload your own. Import your existing Wallpaper Engine collection and create your perfect environment.
Nimbus automatically changes your desktop wallpaper based on the weather and time of day. Compatible with Wallpaper Engine and custom wallpapers.
No, Nimbus does not require Wallpaper Engine to function. Wallpaper Engine is required for animated wallpapers. An internet connection is required to retrieve the latest weather conditions. Nimbus continues using your selected wallpaper until it can fetch new weather data. Nimbus checks for weather updates every 30 minutes and whenever you change your selected location. Yes. You can import your own images directly into Nimbus. If you own Wallpaper Engine, you can also use your existing Wallpaper Engine wallpapers. Nimbus is designed to run quietly in the background and uses very little CPU or memory during normal operation. No, Nimbus does not require Wallpaper Engine to function. Wallpaper…from getnimbus.nz
Does the same job
all alternatives →More work this month
the category →


The app store for voice native apps that lives in your notch
Work · 28d ago · voiceos.com

The New Calendly▲211Handle all of the work before, during, and after meetings
Work · 17d ago · calendly.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 16d ago · simedw.com