Miterun is a real-time crowd management tool for small retail businesses such as cafes, salons, and restaurants. It addresses the need for immediate visibility into current occupancy levels so that both operators and potential customers can see at a glance whether a location has plenty of space, is getting busy, or is full.
The system relies on a spare smartphone that functions as an on-device AI camera pointed at an entrance or seating area. After a user registers a store account, enters its name and seat capacity, and pairs the phone by scanning a QR code, the AI automatically classifies crowd levels as plenty, busy, or full. A live dashboard displays the current status along with a daily crowd trend graph and supports manual overrides. A public share link lets customers view the status directly in a browser without installing any application; the link can be posted to Google Maps or social media. The service is delivered as a progressive web application accessible from phones or PCs.
Additional capabilities listed include upcoming push notifications to alert customers when status changes and AI-based wait-time prediction. The page promotes a free 60-day trial and positions the product as a crowd management PWA for small stores.
Miterun is a Business & Operations project. It focuses on managing and communicating real-time occupancy and crowd levels to customers without manual effort or dedicated apps. Miterun is a B2B product aimed at small business owners. There is a free tier. Miterun is available on the web.
Behind Miterun is Miterun, based in Japan, and it first shipped in 2024. Key capabilities include AI Crowd Sensor, Live Dashboard, and Public Share Link. The interface is available in 4 languages, including English, Spanish, and Japanese. Miterun is currently in beta.
Summary written by a language model from the project’s public pages.
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