Our founder developed key components for Jetson including the admin panel, order application, and admin app. Jetson enables hyperlocal deliveries from restaurants and retailers, revolutionizing lunchtime logistics with ultra-fast service and a seamless customer experience through its integrated ordering and delivery ecosystem.
Customers faced long wait times and inconsistent delivery tracking from traditional food apps.
Our founder contributed to developing Jetson's order app, web platform, and admin dashboard—ensuring smooth order placement, dispatch, and real-time updates.
Admin panel development
Order application development
Admin app implementation
Hyperlocal delivery system
Restaurant integration
Real-time order tracking
Seamless customer experience
Designing a comprehensive admin panel that could handle order management, courier assignments, and restaurant operations in real-time.
Ensuring the order application could handle high volumes during peak hours while maintaining responsiveness and accuracy.
Creating an admin mobile app that provided full functionality while maintaining usability on smaller screens.
Ensuring seamless data flow between the admin panel, order application, and admin app across different platforms and devices.
Developed a scalable admin panel with role-based access control and real-time data visualization for comprehensive order and restaurant management.
Implemented efficient state management and caching strategies in the order application to ensure fast load times and responsive user interactions.
Created the admin app with a mobile-first approach, ensuring critical functions were accessible and usable on smaller screens without sacrificing functionality.
Built a robust real-time data synchronization layer using WebSockets to ensure consistent state across all platform components.
Developed a flexible integration framework that allowed for easy onboarding of new restaurants with different menu structures and operational workflows.
Jetson is a hyperlocal delivery platform that routes orders from food-hall restaurants to desks in partner office towers via runners with private building access. A GraphQL API sits in front of a small set of order, dispatch and restaurant services, with a WebSocket layer pushing live state to every client. A modular service core rather than microservices kept a 15-person team fast while still isolating the latency-critical dispatch path.
Three client surfaces share one TypeScript component and data layer so order state looks identical everywhere.
A single GraphQL endpoint serves queries and mutations while subscriptions over WebSockets deliver live order and courier updates.
Domain services own ordering, kitchen hand-off and runner dispatch; the dispatch path is kept hot and small for the lunch peak.
Transactional order data lives in a relational store; a cache and queue absorb the midday burst and feed real-time fan-out.
Payments and building context come from external providers behind thin adapters.
Containerised services on a managed cloud with staged rollouts timed outside the lunch window.
Employee browses rotating food-hall menus in the app; menu and availability are served from cache via GraphQL.
Checkout creates an order and captures payment through Stripe; the order is persisted and an order-created event is queued.
The restaurant tablet receives the ticket in real time over WebSockets and marks the order as being prepared.
Dispatch assigns a runner based on building, floor and current load, then pushes the pickup to the runner app.
The runner collects the order and moves through service corridors; status changes stream to the customer as live tracking.
On hand-off the order closes, the customer is notified, and the event flows into analytics for property and employer reporting.
Customer, runner and admin apps need different slices of the same order graph plus live updates; one GraphQL schema with WebSocket subscriptions avoided bespoke REST endpoints per client.
Nearly all volume lands in a two-hour window, so dispatch and real-time state were isolated with caching and queue buffering while the rest of the system stayed a simple modular service.
React, React Native and Expo let a small team ship three client surfaces from shared types and components, keeping order state consistent across platforms.
Offloading card processing, refunds and restaurant payouts to Stripe kept cardholder data out of the platform and shortened the path to launch.
“The order app and admin dashboard developed by the team have been crucial to our success, enabling us to achieve delivery speeds that outpace our competitors.”
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