BuildMint Queue
Simple queue management for walk-in businesses
What it does
BuildMint Queue is a simple queue management system for clinics, salons, repair shops, and other walk-in businesses. Staff manage queues from a dashboard while customers track their place on their phone, so they can wait anywhere without losing their turn.
BuildMint Queue helps customers wait anywhere, track their turn by QR code or link, and return with confidence.
BuildMint Queue lets people join or follow a queue by QR code or public link and return with confidence while staff manage the day from one dashboard. Customers see their live position from a safe ticket page. Staff keep operating queues without exposing internal records. The customer scans a QR code or opens the public tracking link. Status and position stay available while staff call and complete entries. Manage active queues and queue entries through a focused staff workflow. Give each customer an unguessable ticket path with live status. Adapt organization terminology and, on Queue Plus, operate up to three locations. Review per-location activity; Queue Plus adds consolidated history,…from queue.getbuildmint.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 · 9d 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