Tag: deno

ua-tracer is a tiny site that attempts to show you what a user agent fetches, follows, and executes when it loads a page. I built it because we have almost no visibility into what bots and AI agents actually see when they crawl the web.

I built a web app using Deno, Fresh, and TensorFlowJS to classify images as links or buttons. The app uses a pre-trained ML model and allows users to drag and drop multiple images for classification. I encountered challenges with server-side rendering and islands, specifically with integrating a file-drop web component. I also documented the process of integrating the TensorFlowJS model, including model loading and prediction handling. The code is available on GitHub.