Dineora
Connect, Discover, Dine with Dineora.
What it does
Dineora is building the platform restaurant and cafe owners actually want. AI analytics, social promotion, and everything you need — launching August 31, 2026.Dineora is a smart digital QR menu and ordering platform built for modern restaurants and cafes. Easily create contactless interactive menus, track real-time analytics, streamline customer orders, and boost social promotion — all from one powerful, easy-to-use dashboard. Launching August 31, 2026!
Dineora is building the platform restaurant and cafe owners actually want. AI analytics, social promotion, and everything you need — launching August 31, 2026.
Scattered tools. Manual operations. Zero visibility. Dineora brings AI-powered analytics, social promotion, and everything you need into one platform. Loading count restaurant owners are already on the early-access list. Three core capabilities designed to help you serve smarter, grow faster, and stay ahead. Know your numbers. AI-driven insights that help you make smarter decisions about your menu, pricing, and operations. Get discovered. A built-in platform to promote your cafe and attract new customers who are already looking for places like yours. No risk. No upfront commitment. Start with a free trial and scale as your business grows. Pay only when you're ready. Dineora is becoming the…from dineora.shop
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Life & fun · 11d ago · louisabraham.github.io



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