Freelance Backend EngineersFreelance Backend Engineers
Senior Full-Stack Engineer & Designer
$100k+
Earned
2x
Hired
5.0
Rating
50
Followers
Senior Full-Stack Engineer & Designer
Senior Fullstack Engineer | Next.js, React & TypeScript
$25k+
Earned
1x
Hired
18
Followers
Senior Fullstack Engineer | Next.js, React & TypeScript
Kajabi Expert | I Turn Course Creators Into Premium Brands
$250k+
Earned
158x
Hired
5.0
Rating
1.4K
Followers
Kajabi Expert | I Turn Course Creators Into Premium Brands
AI Automation Engineer | Full-Stack Apps & Integrations
66x
Hired
4.9
Rating
154
Followers
AI Automation Engineer | Full-Stack Apps & Integrations
AI & Engineer | Product Designer | Video Creator & Editor
$50k+
Earned
33x
Hired
5.0
Rating
211
Followers
AI & Engineer | Product Designer | Video Creator & Editor
Cover image for Muddy Paws: a booking engine
Muddy Paws: a booking engine that turns "can I book?" into "you're booked" in 60 seconds Business: Muddy Paws Mobile Grooming, Lisbon, Portugal as Early Stage ! One-line problem solved: A solo mobile dog groomer was losing bookings and about 1 in 5 appointments to no-shows, so I built a booking flow that confirms and protects every slot with no manual back-and-forth. The client brief: Inês runs a grooming van in Lisbon, alone, booking about 6 dogs a day, Tuesday to Saturday. Requests arrive through WhatsApp and Instagram DMs and get lost. She can't answer the phone while grooming. About 1 in 5 customers don't show up, which costs her the slot and the fuel. Appointment length depends on the dog's size and coat. She drives between neighborhoods, so not every time slot works. The goal: turn an inbound inquiry into a confirmed, paid booking with as little effort from Inês as possible. Before and after Before: a DM arrives, Inês replies hours later, they negotiate times, the customer forgets, the dog doesn't show, and the slot is gone. After: the customer picks their dog and services, sees only the slots Inês can actually serve, pays a small deposit, and gets an instant confirmation. Reminders, rescheduling, and waitlist refills happen automatically. What I built: Fixing the front door Dog profile and service selection, with duration and price calculated live from size and coat. Address check against Inês's service zones. Route-aware availability: slots respect her neighborhood-by-day schedule, service length, and travel buffer. Deposit to secure the slot, then an instant confirmation with calendar links. Guest checkout with no account needed. Fixing the follow-through: Reminders at 48 hours and 2 hours with one-tap confirm, reschedule, or cancel. Cancelled slots reopen and go to a waitlist automatically. A nudge for customers who start a booking and don't finish. An owner dashboard: today's route, a "Needs attention" queue, and hours saved. Built to work worldwide: currency, timezone, language (including Arabic right-to-left), units, and service zones are configurable, so the same engine can serve a groomer in Lisbon or a dentist in Toronto. How it maps to the criteria: Problem-solving impact: a complete path from inquiry to a paid, confirmed booking. Owner-effort reduction: confirmations, reminders, rescheduling, waitlist, and lead follow-up all run without Inês. Craft and execution: mobile-first, branded, and tested end to end with seeded demo data. Storytelling: the demo video moves from a chaotic WhatsApp day to a calm dashboard with the hours-saved number. Process: I treated it like a real client brief: define the owner's quirks first, then design the booking logic around them (duration, route, deposits), then build in Lovable in layers, starting with the booking flow and then automations, dashboard, and global settings.
0
69
Full-Stack Engineer | Replit Expert | Mobile Dev
$25k+
Earned
65x
Hired
4.9
Rating
103
Followers
Full-Stack Engineer | Replit Expert | Mobile Dev