Hip Haus Check-in App
We built Hip Haus a two-part check-in system. A web app and a native Android scanner that makes event entry a single QR scan and turns every guest into real-time business intelligence.
- Client
- Hip Haus
- Industry
- Events & Community
- Platforms
- Web · Android
- Our Role
- Product design, build, and platform integrations
- Engagement
- Product build + integrations
- Timeline
- Delivered in phases
The problem we set out to solve
Checking guests into Hip Haus events was slow and manual. Tickets were sold across two platforms (Eventbrite and Meetup) with no unified view, and staff verified guests against lists by hand. Worse, the events generated no usable insight: Hip Haus couldn't see how many guests were returning, how tickets and refunds trended, or what any guest was worth over time. The data existed, but it was locked away.
Before
- Check-in was manual — staff matched guests to lists by hand.
- Tickets lived in two separate platforms with no combined view.
- No visibility into returning vs. new guests, or refund trends.
- Guest lifetime value — individual or average — was impossible to see.
The Objective
Make event check-in instant and effortless for guests and staff, and turn every check-in into real-time business intelligence Hip Haus can act on.
The solution, part by part
One source of truth for tickets and the analytics behind it
Hip Haus sells tickets on both Eventbrite and Meetup. The web app syncs tickets from both platforms into a single database, validates them on demand, and turns every check-in into data. Its dashboard surfaces returning-guest rates, ticket / check-in / refund counts, and guest lifetime value (individual and average) in real time. None of this was visible before.
- Syncs tickets from Eventbrite and Meetup
- Real-time validation API for the scanner
- Returning vs. new-guest analytics
- Individual and average guest lifetime value
One scan. Checked in, badged, welcomed.
The Android app, built natively in Android Studio, is the device at the door. A guest holds up the QR code on their ticket and from that single scan, with no other interaction, the app verifies the ticket against the web app, checks the guest in, and prints a name badge via the Brother SDK. It recognises returning guests and greets them with a personalised welcome-back message.
- QR scan validates against the web app
- Automatic name-badge printing via the Brother SDK
- No guest interaction beyond the scan
- Personalised welcome for returning guests
The technology, and why we chose it
Every tool here earned its place. The point isn't the logos — it's the reasoning behind them.
Next.jsPowers the ticket-sync engine, the validation API, and the analytics dashboard in one app.
Native AndroidA native build gives tight, reliable control of the camera, QR scanner, and hardware printer for a scan-only flow.
Drives a Brother label printer directly, so a name badge prints automatically from the scan.
PrismaType-safe access to guest, ticket, and check-in history. The backbone of the lifetime-value analytics.
PostgreSQLA relational store built for the joins behind returning-guest and lifetime-value reporting.
TypeScriptReliable contracts between the web side and the Android scanner.
Durable storage for guest and event assets.
Pulls tickets from where guests already buy them with no new ticketing platform to adopt.
Syncs Meetup event tickets into the same unified source of truth.
What changed for the business
- ~5s
- Scan to printed badge
- 95%
- Faster than manual check-in
- 2
- Ticket sources unified
Check-in is now a single scan. A guest holds up their ticket QR code, with no further interaction, and they are verified, checked in, badged, and welcomed. Behind the door, Hip Haus finally sees what's happening: returning-guest rates, ticket and refund counts, and guest lifetime value, all in real time.
Guests waited while staff checked names against lists by hand.
A single QR scan checks a guest in and prints their badge in seconds.
Tickets lived in two disconnected platforms.
Eventbrite and Meetup tickets sync into one source of truth.
Hip Haus couldn't see returning-guest rates or what a guest was worth.
Returning-guest rates and lifetime value are visible in real time.
The real win wasn't a faster door. Tt was the data behind it. Every scan now tells Hip Haus who's returning, what a guest is worth, and how an event really performed. We turned a manual chore into a live stream of business intelligence, and that's what changes how a business makes decisions.
Let's build something that performs.
Tell us about your project and we'll map out a clear path to ship it.