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🍽️ 15 seats. One busy host. A clearer way to book.
I built Dixit Desk for Tavola Club Dinner, a fictional private dining event in Hackney, London.
The brief: help a host juggling dinner preparation, dietary requests and limited seats manage bookings without tracking everything across messages.
✨ How it works
Hosts create an evening, set capacity and packages, then share one event link. Guests choose a package and request seats. The host reviews each request; approval holds the seats, and a simulated deposit confirms the booking.
📊 One dashboard brings together requests, held seats, confirmed bookings and remaining capacity.
The aim: less manual seat counting and a clear booking record for every guest.
🛠️ Built with @Lovable, with Claude Code supporting development and OpenAI Codex helping with testing, documentation and the demo video.
🧪 This is a working prototype: deposits are simulated. Stripe payments and booking emails are planned next.
🔗 Try it: https://dixit-desk.edoardolivieri.co.uk
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I’ve always liked products that solve a very specific problem instead of trying to do everything.
So for the Lovable Challenge, I picked a simple question that event-tent rental businesses hear all the time:
“Can I book a tent for my wedding?”
The problem is… a tent can’t really be booked until you know if the whole event will work.
How many guests?
How much usable space?
Tables? Dance floor? Bar? Stage?
Will the layout actually fit?
Can the crew set it up and pick it up on time?
Usually, the owner has to figure all of that out manually through messages, calls and calendar checking.
So I built TentFit — a spatial booking experience for event tent rentals.
The customer starts by planning the event, then maps out the space and everything they want inside it. TentFit checks the layout and highlights conflicts.
And instead of just saying “doesn’t fit,” it helps solve the problem:
Switch the tent. Move the layout. Remove an element.
Once everything works, TentFit checks the logistics and turns the final setup into a booking.
The goal was simple:
Make the customer’s decision easier, and make the owner’s job easier.
The flow is basically:
FIT → FEASIBLE → BOOKED
I had a lot of fun building the spatial planning part of this one.
X/Twitter post: https://x.com/brjanov/status/2105630218492731501?s=20
Built with @Lovable
#LovableChallenge #ProductDesign #UXDesign #NoCode #SaaS #WebDesign
Nice stuff!
What I built & why
I built PawRoute, a smart booking and automation experience for a fictional solo mobile dog groomer, Maya, based in Austin, Texas.
I chose mobile dog grooming because booking isn't as simple as finding an empty calendar slot. Every new inquiry can require the owner to check the customer's location, understand the dog’s needs, recommend a service, calculate pricing, find a time that works with the driving route, confirm the appointment, send reminders, and handle cancellations.
I wanted to answer one question:
How can I turn “Can I book?” into “You’re booked” with as little work from the business owner as possible?
So I designed PawRoute around a simple 3-step customer booking experience. Customers provide their location and dog details, receive a recommended service with clear pricing, and choose from available appointment times.
I also created Best Route Match, which prioritizes appointments when Maya is already working nearby instead of treating every available time equally.
Behind the customer experience, PawRoute handles the repetitive work: booking confirmations, reminders, customer information, route updates, rescheduling, and automation activity.
I also designed an owner dashboard where Maya can see appointments, customers, her driving schedule, and what PawRoute has automated.
Finally, I added a cancellation-recovery workflow. When an appointment opens up, PawRoute can help identify suitable waitlisted customers and refill the slot instead of requiring Maya to manually message people.
The goal wasn't simply to build another booking website. It was to design a system where the customer sees simplicity while the complexity is handled behind the scenes.
3 steps for customers. Less scheduling work for Maya.
Built with Lovable for the Lovable Challenge.
This is Mikuna. From WhatsApp chaos to a confirmed lesson.
Small language studios shouldn't have to manage every student through WhatsApp.
Mikuna started from a simple problem: a student wants to book a lesson, but the process quickly becomes a chain of messages about language, goals, tutors, availability, payment, changes and confirmations.
So I designed a system where the student handles the coordination themselves, while the tutor gets a ready-to-teach agenda.
The student can:
→ Choose a language and learning goal
→ Find the right tutor
→ Pick an available time
→ Purchase credits
→ Book the lesson
→ See their upcoming lessons and remaining credits
The tutor gets:
→ An organized agenda
→ Upcoming and past lessons
→ Relevant student context
→ One-click access to the lesson
Behind the interface, the system also handles tutor availability, booking conflicts, credits, payments and cancellation rules.
The idea was simple:
From managing conversations to managing lessons.
Mikuna was built for the Contra × Lovable Challenge, starting from an existing brand identity created at SUR Studio and reimagining it as a complete appointment-based product.
Love this! Such a clean solution to a very real problem for language studios. The shift from WhatsApp chaos to a seamless booking experience is brilliant.