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

AI Home Services App — Smart Technician Booking & Repair

A premium AI-powered home services app designed to simplify how people diagnose home problems, find the right service, and book qualified technicians.

The product uses AI to turn a simple problem description into a clear service recommendation — helping users move from “What’s wrong?” → “What do I need?” → “Who can fix it?”

Key Experience

→ AI-powered problem diagnosis → Text, voice & photo input → Smart service recommendations → Technician discovery & booking → Transparent service information → Real-time technician tracking → Premium, intuitive mobile experience

The concept is designed for founders building AI home-service platforms, technician marketplaces, repair apps, and SaaS products where reducing friction and improving the booking experience can create a stronger customer journey.

Role: Product Designer Focus: AI Product Design · UX/UI · Mobile App Design · Service Marketplace