GetNetworked
AI-powered event and professional networking platform
An event platform for people who host professional communities. It covers the full lifecycle: create the event, sell tickets, promote it, check guests in, and keep the room connected afterwards. Shipped to web, iOS and Android from a shared React and Ionic codebase.
Context & role
GetNetworked is an event platform for people who host professional communities, founders, operators, membership organisations. It covers the full lifecycle: create the event, sell tickets, promote it, check guests in, and keep the room connected afterwards. The company sells it in tiers from free through $159/month, with a custom enterprise tier.
The problem
Event tooling splits at the door. One product sells the ticket, another handles check-in, a third is where attendees try to find each other afterwards, usually LinkedIn, badly.
Hosts lose the thread between “who bought a ticket,” “who actually showed up,” and “who should meet whom,” which is the only part that produces a repeat attendee.
Product & solution
- Built the attendee and host-facing app in React and Ionic, shipping to web, iOS and Android from a shared codebase
- Implemented ticketing checkout with Stripe, including card and Apple Pay, across free, paid and tiered ticket types with early-bird and promotional pricing
- Built digital business cards with tap and QR exchange
- Built QR-code guest check-in for the live event flow
- Implemented the AI networking suggestion surface, recommending connections from shared interests and proximity with a user-adjustable radius
- Built the post-event feed: attendee messaging, photo sharing and embedded event posts
Engineering decisions
Payments in a hybrid app. Apple Pay plus Stripe inside an Ionic shell means native payment sheets, webhook-driven order state, and a checkout that cannot double-charge when the network drops mid-confirmation. Ticket state has to be authoritative server-side; the client is a view of it, never the source.
Check-in at the door. Scanning happens in a crowded room on hotel wifi. The scan flow had to stay responsive and tolerate poor connectivity without ever letting the same ticket in twice.
Proximity-based suggestions that stay private. Location-driven recommendations mean handling real location data carefully, radius filtering that is useful without exposing precise position to other attendees.
Outcome
GetNetworked is live on iOS, Android and web, in use by event hosts across multiple US cities.
Visual showcase