Before & After: GHL + TrackPod Webhook Fix 🔧
Client had a persistent execution error on their GoHighLevel workflow, the client name field wasn't mapping correctly to TrackPod, causing every order to fail.
Dug into the workflow, identified the root cause, rebuilt the webhook logic using custom code, and got delivery + collection orders flowing into TrackPod without errors.
Clean fix. Working system. Happy client. ✅
Built a smart lead qualification system incoming leads are matched against existing Airtable records automatically. If a match exists, the record updates; if not, a new one is created. No duplicate leads, no manual checking.
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Built and launched DeskHop.work (http://DeskHop.work) — a clean, modern platform that lets remote workers and digital nomads book coworking spaces and hot desks by the hour or day with zero commitment or membership.
What I delivered:
Real-time search and booking system (by location, date, and hours/days)
Dynamic availability calendar
Partner dashboard for coworking spaces to list desks and manage bookings
Instant Stripe payments
Clean, mobile-responsive design (works perfectly on iOS & Android)
Scalable Bubble architecture with repeating groups, custom states, and background jobs
Live Results:
Now active in 30+ cities across 10 countries
45+ partner coworking spaces
200+ active users
Tech: Bubble.io (http://Bubble.io) (full no-code development)
Live link: https://deskhop.work/
This project shows how I turn complex booking logic into simple, user-friendly experiences that actually get used and generate revenue for both sides.
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iPhone 18Plus Expected Titanium Frame
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Automated the full appointment booking loop, a webhook receives the booking request, creates the event directly in Google Calendar, and sends a confirmation response back in real time. No manual calendar entry needed.
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Built an AI voice agent that automatically books appointments client calls trigger a webhook, data gets structured, and Vapi's AI voice API handles the booking call in real time. Zero manual scheduling.
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This was a more complex build. The system receives incoming data through a webhook, stores the context in a Data Store so it remembers what's been said, then runs it through OpenAI (ChatGPT) to generate an intelligent response. Depending on what comes back, it takes one of two paths either responds directly through the webhook, or triggers additional HTTP calls and a second AI pass before replying. The result is a bot that doesn't just react to messages, it actually thinks about them first before responding. Built entirely in Make, no extra infrastructure needed.