Zero App Installs
Every portal — customer, organizer, and gate scanner — runs entirely in the browser. No app-store review cycles, no forced updates, no storage taken up on anyone's phone.
Browse events, buy tickets, and manage your own — all from a browser tab. No app-store downloads, no waiting on updates, no friction between discovering an event and holding a stub in your pocket.
Encrypted Digital Stubs
Every Tixora stub is a live, rotating credential — not a static QR you can screenshot and resell. Gate scanners verify it in real time against our Shield Fraud Engine, so the only valid stub is the one on your phone, right now.
Platform Features
Every portal — customer, organizer, and gate scanner — runs entirely in the browser. No app-store review cycles, no forced updates, no storage taken up on anyone's phone.
Watch capacity, revenue, and sell-through update live as tickets move. Every tier, every gate, every sale — visible the moment it happens, not the next morning.
Stub credentials rotate continuously and are verified server-side at the gate — screenshots, duplicates, and resale scams get flagged before anyone walks through.
About Tixora
Tixora started as a class project between four computer science students who'd all had the same bad night out: a $12 "convenience fee," a forced app download for a single concert, and a resale price triple the face value. We built the platform we wished existed — one that runs entirely in a browser tab, charges organizers fairly, and makes a resold, screenshotted ticket worthless at the gate.
Project Lead & Backend Manager
Drove the project from concept to completion, building the end to end backend and full database integration.
Frontend Engineer — UI/UX Design &QA
Worked on UI design and hands-on debugging for the organizer panels, ensuring a clean, functional experience.
Frontend Developer & Interaction Designer
Crafted the visual layout and interactive elements, focusing on smooth navigation and a polished user experience along with debugging.
Fraud Detection & ML Engineer
Designed and trained the fraud detection model used to flag suspicious ticket activity and prevent scalping .