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Tether is a custom middleware solution engineered to eradicate one of hospitality's most expensive bottlenecks: the gap between legacy POS systems and labor scheduling. By leveraging Make.com for high-frequency API polling, Tether automatically cross-references live sales data with time punches and maps it into a unified, real-time dashboard. Zero manual reporting, zero data silos—just instant visibility into labor-to-sales ratios.
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Ticketify is a full stack web application for buying, selling, and managing digital tickets for events 🎟️
The main idea behind the project is to offer a simpler, safer, and more intuitive experience for both people who want to buy tickets and organizers who need to manage their events, sales, and ticket validation.
Unlike many ticket-selling platforms that often feel unclear or difficult to use, Ticketify aims to centralize the entire flow into a more organized experience: discovering events, buying tickets, receiving digital entries, and validating them through QR codes.
The application has two main types of users:
🛒 Buyer user
Buyers can explore published events, search by name, category, date, or price, view the details of each event, and purchase tickets through Mercado Pago integration.
Once the purchase is completed, they can access their digital tickets, view the status of each ticket, and check their purchase history with detailed information.
Implemented features for buyers:
• Sign up and log in
• Google login through OAuth 2.0
• Email verification
• Password recovery
• Event exploration and search
• Filters by category, date, price, and name
• Ticket purchase with Mercado Pago
• Digital tickets with QR codes
• Ticket status: valid or used
• Purchase history
• Purchase detail
• PDF receipt download
• User profile management
🎟️ Organizer / seller user
Organizers can create and manage events, define ticket types, manage sales, and validate tickets on the day of the event.
They also have a dashboard where they can view important metrics such as tickets sold, revenue generated, and the status of their events.
Implemented features for organizers:
• Event creation and editing
• Event image/banner upload and update
• Ticket type management
• Event publishing and closing
• Dashboard with key KPIs
• Sold tickets overview
• Total revenue overview
• Management of their own events
• Ticket validation through a QR scanner using the camera
• Manual validation by code
• User profile management
🔐 Security and authentication
Ticketify also includes features focused on account security and protecting the purchase flow:
• JWT authentication
• OAuth 2.0 with Google
• Email account verification
• Password recovery
• Alerts for logins from a different IP address
• Protected routes based on user role
• Differentiation between buyer and organizer
📧 Automated emails
The application sends automated emails at important moments in the user flow:
• Account verification
• Password recovery
• Purchase confirmation
• New login alerts
⚙️ Technologies used
The project was built with the MERN stack:
• MongoDB
• Express.js
• React
• Node.js
It also integrates:
• JWT for authentication
• OAuth 2.0 with Google
• Mercado Pago for payments
• Resend for email delivery
• Cloudinary for image management
• QR scanner for ticket validation
Ticketify was designed as a complete solution for events, where design, security, and user experience work together to make buying, selling, and validating tickets faster, more reliable, and more functional.
Project: Good Huis Co
Role: Senior Shopify Developer
Overview Technical optimization and scaling for a premium Australian homewares brand. Evolving the store’s architecture to handle high-value furniture data.
Key Contributions:
Dynamic Data: Engineered product pages to pull Lead Times and Stock Status dynamically via Shopify Metafields.
Care Dashboard: Developed a custom tabbed interface for material-specific product maintenance instructions.
PDP Optimization: Integrated Afterpay and custom accordion drawers for technical specs and a clean purchase path.
UX Refinements: Implemented global marquee tickers for transparency and advanced brand filtering in navigation.
The Result A high-performance furniture storefront that balances complex technical data with a minimalist, high-end aesthetic.
Really impressive work. I especially like how you handled complex product data without compromising the clean, premium feel of the storefront. What was the most challenging part of balancing functionality with the minimalist aesthetic?
Honest question for the Contra community: is Claude Opus 4.8 actually a real upgrade, or just another model release?
You can still test it absolutely for free here: https://dub.sh/v0premiumOPUS48
After testing it side by side with Opus 4.7, my take is simple:
It feels materially better for production work.
The strongest improvements I noticed:
better summarization
better front-end design output
more stable long-horizon coding
better reasoning calibration
more reliable tool use
The biggest shift for me is in Claude Code.
It asks the right questions.
It catches its own mistakes.
It pushes back when the plan is not sound.
And it builds confidence before making big multi-service changes.
That is the kind of behavior that actually matters if you are using AI in real delivery.
At RaptorLabs, we see it as a strong model to build with while improving Predator API, our unified API layer across multiple products.
My current verdict: Opus 4.8 feels more useful, more careful, and more production-aware than Opus 4.7.
Now I want real feedback from people actually shipping:
Have you used Opus 4.8 yet?
What improved most?
What still feels weak?
And would you trust it for client work today?
Comment with your use case and verdict:
worth upgrading / not a big difference / still testing
Wow 😍
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