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linktent

v0.0.1

Published

Predict user hover intents using mouse velocity and trajectory vectors to prefetch React links for optimized loading times.

Downloads

16

Readme

🔽 About

linktent predictive hover intent prefetching simulation demo

linktent tracks real-time mouse velocity and trajectory vectors to intelligently anticipate which link a user is navigating towards. This allows it to initiate predictive preloading 100-300ms before hover or touch occurs, providing a zero-latency navigations experience without blindly prefetching every link in viewport.

🚀 Live Demo & Simulation

To see the trajectory calculation and predictive collision ray in action, you can run the interactive visualization locally:

# Start the local demo server
npm run demo

Then visit http://localhost:3000 in your browser!

🛠️ How it works

Standard prefetching (like Next.js/Remix default link components) blindly prefetches everything on-screen, leading to massive database/API costs on scroll. Hover prefetching only gives the browser ~100ms before a click.

linktent tracks the mouse velocity vector: $$\vec{v} = \left( \frac{\Delta x}{\Delta t}, \frac{\Delta y}{\Delta t} \right)$$

It projects a "collision ray" forward by 300ms. If the projected endpoint intersects with a link's bounding box, it triggers prefetching early.

Installation

npm install linktent
# or
yarn add linktent
# or
pnpm add linktent
# or
bun add linktent

Usage

1. Wrap your application with the provider

import { IntentProvider } from 'linktent';

export default function App({ children }) {
  return (
    <IntentProvider>
      {children}
    </IntentProvider>
  );
}

2. Use IntentLink for predictive loading

import { IntentLink } from 'linktent';
import { useQueryClient } from '@tanstack/react-query';

export const ProductCard = ({ id }) => {
  const queryClient = useQueryClient();

  return (
    <IntentLink
      href={`/product/${id}`}
      prefetchFn={() => queryClient.prefetchQuery(['product', id], fetchProduct)}
    >
      View Product
    </IntentLink>
  );
};

License

MIT License - Copyright (c) [email protected]