Desktop Clipboard AI

Desktop productivity app enhancing clipboard usage with AI-powered suggestions.

View Live Project

[ Desktop Clipboard AI ]

Role

Developer

Year

2024

Stack

Electron.js, Node.js, AI APIs

Link

View Live Project

01. The Challenge

Every project begins with a core problem. For Desktop Clipboard AI, the main challenge was balancing performance with high-fidelity visual interactions. We needed to process thousands of data points in real-time without blocking the main thread, all while maintaining a smooth 60fps experience.

The existing solutions in the market were clunky, enterprise-focused, and lacked the "joy of use" that modern users expect.

02. The Process

We iterated through multiple layout paradigms before settling on the "island" architecture. This allowed us to decouple the navigation state from the content renders, significantly reducing re-renders and improving perceived latency.

Engineering

A look at the core logic that powers the real-time data synchronization.

// The Synchronization Logic useEffect(() => { const worker = new Worker(new URL('./worker.js', import.meta.url)); worker.onmessage = (event) => { const delta = computeDelta(event.data); if (delta > THRESHOLD) { requestAnimationFrame(() => updateMesh(delta)); } }; return () => worker.terminate(); }, []);

03. The Result

[ High Fidelity Mockup / Screenshot ]