Freelancers using StripeFreelancers using Stripe
Websites, Stores & Funnels • Framer, Shopify, Kajabi,Webflow
$100k+
Earned
53x
Hired
4.9
Rating
777
Followers
Websites, Stores & Funnels • Framer, Shopify, Kajabi,Webflow
Framer & Motion Designer | Bringing Ideas to life
$10k+
Earned
8x
Hired
5.0
Rating
789
Followers
Framer & Motion Designer | Bringing Ideas to life
Framer Pro Experts | Design & Development Studio
$250k+
Earned
31x
Hired
5.0
Rating
432
Followers
Framer Pro Experts | Design & Development Studio
Engineering & Architect in AI and Product Manager
$50k+
Earned
33x
Hired
5.0
Rating
214
Followers
Engineering & Architect in AI and Product Manager
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.
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Full-Stack Engineer | Replit Expert | Mobile Dev
$25k+
Earned
65x
Hired
4.9
Rating
104
Followers
Full-Stack Engineer | Replit Expert | Mobile Dev
25+ Products Branded, Designed, Built, Shipped & Marketed
14x
Hired
5.0
Rating
196
Followers
25+ Products Branded, Designed, Built, Shipped & Marketed
Fullstack Developer & Framer Expert
$10k+
Earned
14x
Hired
5.0
Rating
284
Followers
Fullstack Developer & Framer Expert