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Built an n8n lead generation workflow that finds prospects, enriches and qualifies leads with AI, automates outreach and follow-ups, and tracks results in Google Sheets/CRM.
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
Related posts
Just finished building a Salon Booking Management System!
The goal was simple: make appointment management easier for salon owners and reduce the manual work involved in handling bookings and reminders.
The system connects the complete workflow in one place:
1 Customer makes a booking
2 Booking gets confirmed
3 Owner sees it on the dashboard
4 Upcoming appointments are organized clearly
5 Reminders help the owner stay on top of appointments
One of the key things I focused on was making the experience simple, clean, and easy to understand, while keeping the workflow practical for a real business.
This project helped me think beyond just building screens — and focus more on the actual business problem, user flow, and overall product experience.
Excited to keep improving it and turn it into an even more polished product.
#BuildInPublic #SaaS #WebApp #BookingSystem #SalonManagement #ProductDesign #MVP #NoCode #Entrepreneurship
Good work
Marlowe Mobile Detailing
Solo-owner mobile car detailer, Austin, TX (serving Round Rock, Cedar Park, and Lakeway)
Marlowe Mobile Detailing was losing about 1 in 5 bookings to no-shows and running behind on nearly every job. This build replaces a vague "can you detail my car?" text with a fully scoped, weather-aware booking flow that sets an accurate time and price upfront, captures access instructions before he arrives, and automates rain-day rescheduling so he never has to chase a customer again.
He works alone and travels to the customer. Rain cancels outdoor jobs. Customers under-describe how dirty their cars are, so jobs run long. About 20% of bookings were no-shows because people forgot he was coming to them.
The AI handles all routing automatically.
Thus, manual appointment creation is an edge case, something that happens when a specific customer request or exception requires human intervention.
When that happens, the system surfaces available technicians ranked by fit and shows how much distance and time the appointment adds to their route for that day. The manager picks from a ranked list rather than guessing.
The typography and color choices were made with one thing in mind: the platform needs to feel embedded in whatever system the client is already using rather than standing out as something foreign. We kept everything deliberately neutral.
Light and dark mode both follow the user's system preference automatically.
