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Woodpecker Farm needed a booking system that could keep up with the people running it.
The operators of this equestrian farm in Woodford, Virginia are in their 60s and 70s. Their days are spent teaching, caring for horses, and moving around the property. Booking meant phone calls, handwritten notes, and finding time to follow up. They needed a complete management system that could fit into that working day, including access from their pocket.
I built their website and booking workflows in Lovable around the farm’s real quirks. A trail ride, a homeschool group, a boarding inquiry, and an academy lesson each require different information. Families may have several riders with different experience levels. Instructors need to consider the riders, available horses, and their own schedules before approving a request.
The system brings together trail rides, lessons, academy and homeschool programs, camps, boarding inquiries, horse shows, and events, alongside rider records, lesson management, and a family rider portal.
The demo follows a trail ride request from the customer form into the management dashboard. Families can suggest multiple dates, add individual riders, provide experience and safety information, and complete waiver acknowledgments. Staff can review the request, update its status, prepare an email, and review it before sending a secure payment link. Submitting a request never promises a confirmed ride.
Since launch, the farm reports going from about two inquiries every other week to 10–20 inquiries a week. The management tools give that increased interest an organized path toward a scheduled ride, with less information scattered across calls and paper.
The video also includes a clearly labeled simulation of a texting assistant designed for instructors working away from a computer. It previews rescheduling and approval from their phone, with instructor approval required before customer messages are sent. This portion is a prototype, not live texting.
I built this so the people running the farm can welcome more riders while keeping their attention on the horses and families in front of them.
Customer information is intentionally hidden in this public demo.
Live website: https://woodpeckerfarm.com
#lovablechallenge
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Choosing a nail color at the salon shouldn’t feel like a timed exam.
You know the moment: you’re staring at a wall of shades, the nail technician is impatiently waiting, and you can feel the pressure to just pick one. Then you spend the next two weeks wishing you’d chosen differently. The worst.
So I built Polly, an express nail studio in downtown Toronto. The problem I wanted to solve: help customers book while giving them time to choose a shade at home that they’ll actually love.
See it in action here: https://pollynails.lovable.app/
The booking flow lets customers choose their service, polish type, and up to three favourite shades. When they arrive, their shortlist is ready at their station where they can make the final call in person.
On the salon side, the team can see upcoming appointments and shade selections, manage availability, and keep the color collection up to date. It’s less decision pressure for the customer and less scrambling for the staff.
The appointment is express. The colour choice doesn’t have to be. 💅
which shade got the final vote?
SoHo — from first inquiry to confirmed session
SoHo is a boutique photography studio in New York, offering private portraits, editorial shoots, and handcrafted photo albums. Its small team has to manage booking requests, session details, discounts, and customer photos while preparing for shoots.
I built SoHo in Lovable to bring that work into one connected experience.
Clients can choose a session, request a date and time, and track their booking status from their account. The studio can review requests, set approval rules, and see AI-assisted equipment suggestions for each shoot. Discounts become available at the right stage of the booking journey.
For custom albums, clients select a cover and place their photos into a digital version of the physical album box. The studio can manage the order and download all submitted photos as one ZIP file.
The goal was simple: help a small studio spend less time coordinating messages and files, and more time making the work its clients came for.
Live Lovable project: https://sohonewyork.lovable.app
The attached video walks through the finished experience.
Great job, Abdullah! The design looks neat and interesting - really good work! Keep it up! 🚀
A self-initiated product: a booking and ordering system for a billiard club in Tbilisi. I designed it in Figma from scratch and built all of it, from the interface to the database.
Guests call the club and nobody answers. They arrive and every table is taken. They want food and wait at the bar. Side Pocket moves all of that to the website.
Key decisions
No guest accounts. A booking needs a name and a phone number. The guest gets a private link to move, extend or cancel. The link is the account.
A 15-minute hold. Guests check in with "I'm at the table." A table nobody claims goes to the waitlist, and the next person gets the same 15 minutes.
Ordering tied to the table. Guests order from their phone during the game, add time themselves and see the bill as it grows.
One screen for staff. Every table's state for the night, late arrivals and orders to serve pinned to the top, bookings and orders boards, alerts in Telegram.
A Telegram bot. It understands "table for 4 tonight at 8" in English or Russian and finishes the booking with buttons.
Scope
Guest site with live availability, single and group booking, waitlist, private booking page, table page with menu, cart and bill, email confirmations and reminders, staff dashboard, Telegram bot.
Stack
React 19, TanStack Start, TanStack Router and Query, Tailwind 4, Radix UI, Supabase Postgres with row-level security, pg_cron, Brevo and Resend, Telegram Bot API, Vitest.
Business rules sit in plain functions, separate from the UI and the database, with 73 tests. Only server functions touch the database.
My role
Product design, UI design, front-end, back-end, database, integrations.
Live demo: side-pocket.lovable.app
Built for the #LovableChallenge by @Contra and @Lovable. #BuiltWithLovable😊
nicety accomplished.. great work