million VS qwik

Hey HN! Founder of Million – We’re building a tool to that helps fix slow React code. Here is a quick demo: https://youtu.be/k-5jWgpRqlQ

Fixing web performance issues is hard. Every developer knows this experience: we insert console.log everywhere, catch some promising leads, but nothing happens before "time runs out." Eventually, the slow/buggy code never gets fixed, problems pile up on a backlog, and our end users are hurt.

We started Million to fix this. A VSCode extension that identifies slow code and suggests fixes (like ESLint, for performance!) The website is here: https://million.dev/blog/lint

I realized this was a problem when I tried to write an optimizing compiler for React in high school (src: https://github.com/aidenybai/million). It garnered a lot of interest (14K+ stars) and usage, but it didn't solve all user problems.

Traditionally, devtools either hinge on full static analysis OR runtime profiling. We found success in a mixture of the two with dynamic analysis. During compilation, we inject instrumentation where it's necessary. Here is an example:

  function App({ start }) {

To be honest, it fills me with great joy to finally be able to witness the launch of the 3.0.0 major release of Million.js; this is something that has been talked about since maybe July 2023, but, Aiden Bai finally assembled a team to get it out there and just last week on the day 2 February as at 8:00 am PST (Pacific Standard Time) Million v3 was released!!

>> React is not traditionally used for making games, but that's part of the fun and the challenge. R

> MS Flight Simulator cockpits are built with MSFS Avionics Framework which is React-like and MIT licensed:

https://github.com/microsoft/msfs-avionics-mirror/tree/main/...

preactjs may or may not be faster: https://preactjs.com/

Million.js is faster than preact, and lists a number of references under Acknowledgements: https://github.com/aidenybai/million#acknowledgments

https://million.dev/docs :

> We use a novel approach to the virtual DOM called the block virtual DOM. You can read more on what the block virtual DOM is with Virtual DOM: Back in Block and how we make it happen in React with Behind the block().*

React API reference > Components > Profiler:

Consider replacing the default virtual DOM with an alternative solution. For instance, Million.js

@aidenybai 's Millionjs

In brief: I'm Aiden, 18, and have spent the past 2 years of high school working on Million.js, an open source React alternative with 11K stars on GitHub and hundreds of thousands of npm downloads.

Recently, I released automatic mode, which detects slow React components and automatically optimizes the reconciliation phase. It's still in beta but chugging along. It's around 70% faster than React on the JS Framework Benchmark and you can see how I did it here: https://million.dev/blog/virtual-dom

Interested? Check it out here: https://million.dev

Either that or add signals to the library itself. I don't get why it isn't in there when a ton of React's competitors are either using signal-like behavior or forgoing the clearly-obsolete way React handles its VDOM. When a high schooler can create something to make the library faster, you know that the core team is either prioritizing the wrong things or someone managing React is too prideful to admit that a lot of what worked a decade ago doesn't work today.

Reference: https://million.dev/

Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid, Starbeam, Svelte, Vue, Wiz, and more…

Each app’s front end is built with Qwik and uses Tailwind for styling. The server-side is powered by Qwik City (Qwik’s official meta-framework) and runs on Node.js hosted on a shared Linode VPS. The apps also use PM2 for process management and Caddy as a reverse proxy and SSL provisioner. The data is stored in a PostgreSQL database that also runs on a shared Linode VPS. The apps interact with the database using Drizzle, an Object-Relational Mapper (ORM) for JavaScript. The entire infrastructure for both apps is managed with Terraform using the Terraform Linode provider, which was new to me, but made provisioning and destroying infrastructure really fast and easy (once I learned how it all worked).

If you want to see the framework that does it right, check out Qwik.

Incredibly small JS / CSS bundles. Only loads what it needs.

https://qwik.dev/

So here at Builder.io, my first task was to ensure that we migrated our site from Next.js to Qwik with a 100% pixel match. We aimed to utilize the power of Qwik to enhance our site's performance to unprecedented levels.

That was the last straw; cumulatively, I had spent more time looking for something to do than actually doing it. But I really wanted to contribute! So a few more months went by, until one day I met an Italian open source maintainer and long-time speaker, Giorgio Boa, who by the way was a guest on our podcast Continuous Delivery, and asked him for advice, saying that I wanted to be part of the OS world. He said he was working on a small library of Qwik components and could help me if I wanted. I gladly accepted, and we found an issue that seemed pretty straightforward. A few days after our conversation, I followed the little README guide to install everything required, and...nothing worked. So, after a few bad words, a lot of doubt about my skills as an engineer, and self pep talks to overcome my shyness about asking for help, I contacted Giorgio again. Even with his help, at first we had some trouble figuring out what was going wrong, but in the end I finally had a working setup.

In the previous post, we got AI generated jokes into our Qwik application from OpenAI API. It worked, but the user experience suffered because we had to wait until the API completed the entire response before updating the client.

In this series, we’ll learn how to integrate OpenAI‘s AI services into an application built with Qwik, a JavaScript framework focused on the concept of resumability (this will be relevant to understand later).