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Bobble times the kitchen, quotes the wait, remembers how your guests order, and keeps selling when the internet doesn't.
Holds the grill until the sushi is nearly ready, so every plate lands hot.
Most-used modifiers come first. Fewer taps on every ticket.
Online pickup times follow the real kitchen queue, by themselves.
Offline? Tickets, cash and kitchen prints keep going, and sync after.
The restaurant operating system
Bobble is a point-of-sale built by a restaurant owner — with commission-free online ordering built in, and the integrations that connect what you already use. No more retyping the same order into three systems.
The clutter
Most independent restaurants didn't choose their tech stack — it accumulated. A delivery-app tablet here, a POS add-on there, a spreadsheet someone built on a slow Tuesday. None of it was designed to work together, so staff become the integration layer: retyping orders, double-checking totals, reconciling by hand at close. Bobble replaces the pile with one system.
The platform
Bobble is the point of sale a restaurant runs on day to day — floor plan, tickets, payments, reporting. Online ordering and integrations aren't separate products bolted on; they're built on the same order and menu data, so nothing has to be typed twice.
Floor plan, tickets, kitchen printing, payments, staff permissions, and reporting — the system a restaurant actually runs on, every shift.
Core productCommission-free direct ordering, powered by Heeya Online Ordering (HOO) — orders land straight on the same tickets the POS already understands.
Included modulePayments, delivery-app orders, and the homepage and marketing site itself — SEO-enabled — all tied into the same operational core.
Connects everythingWhat this looks like in practice, at Sushi Heeya
"I didn't set out to build software. I set out to stop losing an hour of every closing shift to systems that don't talk to each other. Bobble is that fix, running in my own restaurant first."
— Founder, Bobble · Owner, Sushi Heeya
No pitch — just your process, and what running it on one system looks like.
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