MOMEE HUD
Mirror Android apps to your Tesla screen, no dongle needed
What it does
MOMEE HUD lets Tesla owners mirror Android apps to the Tesla screen through the built-in browser — no dongle, cable, or extra display needed. It focuses on simple setup, lightweight performance, touch control, app shortcuts, HUD-style overlays, and support for older Intel Atom vehicles.
Does the same job
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- GGGoogle Glass + Tesla Model S = GlassTesla2013 · glasstesla.com · ▲96
In case you didn't guess, it this app lets Tesla Model S owners interact with their vehicle with Google Glass. Here's what it can do: - View vehicle charging status. Start or stop charging via Glass. You can even open the charge port without having to get back into your car. - Locate your Model S on a map and get directions to it. You can even honk the horns or flash the headlights if you still can't spot it. - See whether the doors, trunks, or sunroof is open/closed. Of course, you can lock or unlock your car remotely and even control the sunroof too. - You can view the car's interior…
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 · 17d ago · simedw.com