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
Back to feedPost
Built a high performance low-latency crypto arbitrage engine for real-time market monitoring. The system uses Rust and Go for ultra fast processing, Python for orchestration, WebSockets for live market feeds, mempool monitoring, flash loan support, and a real-time dashboard for tracking arbitrage opportunities across decentralized exchanges.
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
🚀 3D Animated Product Website — Built for a Client
Recently designed and developed this interactive 3D website for a client’s product, combining modern UI/UX with smooth animations and an engaging user experience.
✨ 3D Product Animation
✨ Smooth Interactive Experience
✨ Premium UI/UX
✨ Responsive Design
🔗 Live Demo: https://www-juicydrop.netlify.app/
Have a product or business that needs a modern 3D animated website?
📩 Feel free to reach out — I’d love to work on your next project.
💬 What do you think of the design? I’d love to hear your feedback!
#3DWebsite #3DAnimation #WebDevelopment #WebDesign #UIUX #FrontendDeveloper #FreelanceDeveloper #Contra
Just launched my new portfolio. Light or dark, which one's better? 👇
5 voted
56%
4 voted
44%
9 votes
Closed
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