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Every guy I know has the same problem on her birthday: he wants to get her flowers, he has no idea which ones, and he doesn't want to ask, because then it's not a surprise.
So he guesses. Sends the florist twenty DMs. Ends up with red roses she politely pretends to love. š¹
I built Bloom for Her to fix this.
He sets a budget, a date and an address, then gets a link and sends it to her. She opens it and sees only bouquets in his range, with the prices hidden, so she picks what she actually wants, not what feels "affordable". He gets a notification, confirms and pays in one tap. The florist gets a complete order with the bouquet, her wishes ("no lilies please"), delivery slot and card text. No DMs, no guessing.
How I built it
I'm a UX/UI designer who also writes Flutter, so I skipped the usual "design ā hope the dev gets it" step:
ā wireframes and high-fi screens for 3 roles: him, her, the florist
ā a design system: Urbanist only, no bold, one dusty-rose accent, borderless inputs
ā built in @Lovable from my screens: React + Supabase, realtime order status, an admin panel for the florist with auth
ā AI-generated bouquet photography, so the catalog looks like a real shop
Time: ~10 hours, from "hmm, what about flowers?" to a working product.
What I learned: the hardest part wasn't the code. It was deciding what she shouldn't see. Hiding the price turned out to be the whole product.
Demo below š
Concept business ā Hackney, London (demo details).
@Lovable
this is lovely
Hiding the price so she picks what she actually wants instead of what feels affordable is a sharp insight. Ten hours from idea to working product is a good proof that the constraint did the design work.
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Choosing a nail color at the salon shouldnāt feel like a timed exam.
You know the moment: youāre 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 youād 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 theyāll 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. Itās less decision pressure for the customer and less scrambling for the staff.
The appointment is express. The colour choice doesnāt have to be. š
which shade got the final vote?
SoHo ā 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! š
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. #BuiltWithLovableš
nicety accomplished.. great work