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I worked with Nacho Sebastian from Tilegit Surfing School to migrate their system from Kajabi into GoHighLevel. The setup included funnel migration, automated pipelines, booking workflows, calendar integration, tagging, SMS and email automation, and internal notifications. This end-to-end migration created a smoother client journey, reduced manual workload, and boosted booking efficiency.
The network for creativity
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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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About a year ago, we shared our work for DreamGround here ✨
Since then, a lot has changed. The brand evolved, the positioning shifted – and it was time for the website to evolve with it.
So we came back to the project and redesigned the page to reflect this new direction, while adapting everything to work smoothly in Kajabi.
It was a quick and really enjoyable project – clear communication, trust in the process, and an easy collaboration from start to finish.
We love when clients come back to us as their businesses grow. It’s always special to see how a brand evolves and to be part of its next chapter 🤍
I like that this is a second chapter for the same client. Reworking the page around their new positioning, while making it practical in Kajabi, feels much more valuable than just giving it a new look.
I think 1 image design was great!
Color Changes Everything
Sometimes, all it takes is a change in color – and the exact same design can feel completely different.
The light version, with soft pink tones and natural textures, feels fresh, light, and airy. It creates a sense of calm, natural beauty, and a closer...
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Polar — Local AI Desktop Assistant
Polar is a local, privacy-focused AI desktop assistant designed around a futuristic HUD interface and system-level interaction.
The project explored how a desktop AI could understand the user's environment, process visual and voice input, and respond or perform actions without relying entirely on cloud services.
Key features:
Local AI assistant architecture
Futuristic Tauri-based desktop HUD
Screen and contextual awareness
OCR-based extraction of text from the screen
Voice interaction pipeline
AI-powered context processing and responses
System-level desktop interaction and automation
Local/offline model execution
Real-time assistant-style interface
OCR pipeline:
Screen capture → OCR → Context extraction → Local AI → Response/Action → HUD
The project combined AI, computer vision, OCR, voice interaction, desktop application development, and modern UI engineering into a single experimental personal-assistant platform.
My contribution: Architecture, application development, AI integration, OCR functionality, UI/HUD development, and system interaction.
This is beautiful
