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Multi-tenant SaaS recruitment platform built with Next.js, TypeScript, Node.js, PostgreSQL and AI-powered resume processing. Implemented authentication, RBAC, tenant isolation, recruitment pipelines, candidate management and Playwright E2E testing.
The network for creativity
Join 1.25M professional creatives like you
Connect with clients, get discovered, and run your business 100% commission-free
Creatives on Contra have earned over $150M and we are just getting started
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What I built & why
I built PawRoute, a smart booking and automation experience for a fictional solo mobile dog groomer, Maya, based in Austin, Texas.
I chose mobile dog grooming because booking isn't as simple as finding an empty calendar slot. Every new inquiry can require the owner to check the customer's location, understand the dog’s needs, recommend a service, calculate pricing, find a time that works with the driving route, confirm the appointment, send reminders, and handle cancellations.
I wanted to answer one question:
How can I turn “Can I book?” into “You’re booked” with as little work from the business owner as possible?
So I designed PawRoute around a simple 3-step customer booking experience. Customers provide their location and dog details, receive a recommended service with clear pricing, and choose from available appointment times.
I also created Best Route Match, which prioritizes appointments when Maya is already working nearby instead of treating every available time equally.
Behind the customer experience, PawRoute handles the repetitive work: booking confirmations, reminders, customer information, route updates, rescheduling, and automation activity.
I also designed an owner dashboard where Maya can see appointments, customers, her driving schedule, and what PawRoute has automated.
Finally, I added a cancellation-recovery workflow. When an appointment opens up, PawRoute can help identify suitable waitlisted customers and refill the slot instead of requiring Maya to manually message people.
The goal wasn't simply to build another booking website. It was to design a system where the customer sees simplicity while the complexity is handled behind the scenes.
3 steps for customers. Less scheduling work for Maya.
Built with Lovable for the Lovable Challenge.
That works. If the screen recording clearly demonstrates the product, your written explanation can carry the “what I built and why” story.
Here’s a polished version you can use for your Contra challenge submission:
What I built & why
I built PawRoute, a smart booking and automation experience for a fictional solo mobile dog groomer, Maya, based in Austin, Texas.
I chose mobile dog grooming because booking isn't as simple as finding an empty calendar slot. Every new inquiry can require the owner to check the customer's location, understand the dog’s needs, recommend a service, calculate pricing, find a time that works with the driving route, confirm the appointment, send reminders, and handle cancellations.
I wanted to answer one question:
How can I turn “Can I book?” into “You’re booked” with as little work from the business owner as possible?
So I designed PawRoute around a simple 3-step customer booking experience. Customers provide their location and dog details, receive a recommended service with clear pricing, and choose from available appointment times.
I also created Best Route Match, which prioritizes appointments when Maya is already working nearby instead of treating every available time equally.
Behind the customer experience, PawRoute handles the repetitive work: booking confirmations, reminders, customer information, route updates, rescheduling, and automation activity.
I also designed an owner dashboard where Maya can see appointments, customers, her driving schedule, and what PawRoute has automated.
Finally, I added a cancellation-recovery workflow. When an appointment opens up, PawRoute can help identify suitable waitlisted customers and refill the slot instead of requiring Maya to manually message people.
The goal wasn't simply to build another booking website. It was to design a system where the customer sees simplicity while the complexity is handled behind the scenes.
3 steps for customers. Less scheduling work for Maya.
Built with Lovable for the Lovable Challenge.
