AI

GetNetworked

AI-powered event and professional networking platform

GetNetworked event platform showing an event page with ticketing and attendee networking
Role
Frontend & Mobile Developer
Platforms
Web · iOS · Android
Year
2025
Status
Production
Client
Networked LLC

Stack

  • React
  • Ionic
  • TypeScript
  • Firebase
  • Stripe
  • Apple Pay

Context

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.

What I built

  • 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 challenges

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.