Hello.

I created a simple countdown timer web app that lets you track time until important events. It's built with a focus on no-code using Replit, including a cool integration with Black Forrest Labs' image API via Replit's Agent feature. Check out the live app and source code!

I trained a machine learning model to differentiate between buttons and links on web pages. Using a dataset of ~3000 button images and ~4000 link images, I trained a convolutional neural network (CNN) with added noise for better generalization. Preprocessing included grayscale conversion, dataset diversification with multilingual sites, and image compression. The model performed well in initial tests, correctly classifying button-like and link-like elements. Next, I'll build a web app for easier testing and a Lighthouse audit for website analysis.

I needed a streaming template engine for a web app I'm building that works in Node.js, the browser, and service workers. Existing solutions like flora-tmpl were great for Node.js, but I needed something smaller and compatible with all environments. So, I created whatwg-flora-tmpl (name pending), a lightweight library based on the WhatWG Streams API. It uses template literals, handles dynamic content, and even supports nested streams. The example code demonstrates how it can be used to render HTML responses piece by piece instead of waiting for all data, significantly improving perceived performance. It's particularly useful for responses generated in service worker fetch events. Big thanks to Matthew Phillips, the creator of flora-tmpl, which served as the inspiration for this project.

A simple web app that helps you with Crosswords and Codewords

If there is no one around to read your tweet, does it make a difference?