
Adloopr – Digital Signage Platform
Digital signage software for malls, offices, and retail
What it does
Adloopr is a digital signage platform built for businesses that run screens across multiple locations. Unlike consumer tools, it focuses on operations: central content management, device health monitoring, and schedule-based playlists for different times and zones. You can manage screens in malls, offices, hospitals, and retail chains from one dashboard, push updates instantly, and track which devices are online or need attention.
adloopr is a cloud-based digital signage platform offering real-time content management, geofencing, weather and audience-based targeting, remote device control, offline playback, and proof-of-play analytics.
Transform every static screen into a smart, targeted communication hub. Deliver context-aware content. Engage audiences in real time. Maximize message impact. Seamlessly upload images, videos, or graphics into your media library. All assets are optimized for digital signage playback, ensuring smooth and high-quality display. Automate screens with smarter tools that make real business impact every day. Deliver content that truly connects with your audience. Our platform enables you to serve highly relevant and timely messages, increasing engagement and driving customer action. With the right content at the right moment, your screens become powerful storytelling tools. Bring campaigns to life…from adloopr.com
Does the same job
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Growth · 29d ago · astrapixels.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