TableGreet
The smarter digital menu for modern restaurants
What it does
Create high quality digital QR menus for restaurants, enable tableside waiter call, manage kitchen production screens, and deliver multilingual dining with TableGreet.
Create high-DPI digital QR menus for restaurants, enable tableside waiter call, manage kitchen production screens, and deliver multilingual dining with TableGreet.
The all-in-one digital menu and QR system for restaurants, cafes, and hotels. Enable instant tableside waiter calls, live kitchen order displays, and fast QR access on every table. *Based on active merchants and unique QR menu scans from Jan 2024 to Jun 2026. A clean, instant-loading digital menu page guests open directly from any dining table. Pan-seared Atlantic salmon with organic asparagus spears, lemon-herb reduction, and microgreens. TableGreet helps restaurants, cafes, and bars replace paper menus with a fast, beautiful digital menu. Eliminate 100% of reprinting costs, increase orders with smart recommendations, and keep your dining room and kitchen moving smoothly. Guests scan a…from tablegreet.com
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