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Show HN: Predictive text using only 13kb of JavaScript. no LLM

Here&#x27;s a project I&#x27;ve been working on for a little while now. Ripl is a JS library that provides a unified API for rendering shapes on both canvas and SVG interchangeably. Over the years I&#x27;ve used D3 extensively to create data visualisations so I figured I&#x27;d have a go at making my own version with a slightly more modern API and stricter TypeScript support.I am aware there are already libraries that can draw to multiple contexts interchangeably, but I&#x27;ve added a few little niceties to Ripl that (as far as I know) some other libraries don&#x27;t have such as CSS-like query selectors, DOM-like event bubbling, and keyframe animation support.The project is far from done and not published to NPM yet, but there are a few demos and source that you can look at in the repo.I&#x27;m happy with how it has come along and the things I&#x27;ve learnt along the way, especially the math. My dream would be to one day work on this full-time and build out a full data-viz library.

Show HN: A JavaScript library for data visualization in both SVG and Canvas

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Show HN: Detecting adblock, without JavaScript, by abusing HTTP 103 responses

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What inspired this project today was watching this amazing video by 3Blue1Brown called &quot;But what is a GPT?&quot; on Youtube (<a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=wjZofJX0v4M" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=wjZofJX0v4M</a> - I highly recommend watching it). I added it to the repo for reference.When it clicked in my head that &quot;knowing a fact&quot; is nearly synonymous with predicting a word (or series of words), I wanted to put it to the test, because it seemed so simple. I chose JavaScript because I can exploit the way it structures objects to aid in the modeling of language.For example:&quot;I want to be at the beach&quot;, 
&quot;I will do it later&quot;, 
&quot;I want to know the answer&quot;, 
...becomes:<pre><code> {
 I: { 
 want: { 
 to: { 
 be: { ... }, 
 know: { ... }
 }
 },
 will: { ... }
 },
 ...
 }
</code></pre>
in JavaScript. You can exploit the language&#x27;s fast object lookup speed to find known sentences this way, rather than recursively searching text - which is the convention and would take forever or not work at all considering there are several full books loaded in by default (and it could support many more).Accompanying research yielded learnings about what &quot;tokens&quot; and &quot;embeddings&quot; are, what is meant by &quot;training&quot;, and most of the rest - though I&#x27;m still learning jargon. I wrote a script to iterate over every single word of every single book to rank how likely it is that word will appear next, if given a cursor, and extended that to rank entire phrases. The base decoder started out what I&#x27;ll call &quot;token-agnostic&quot; - didn&#x27;t care if you were looking for the next letter... word... pixel... it&#x27;s the same logic. But actually it&#x27;s not, and it soon evolved into a text (language) model. But I have plans to get into image generation next (next-pixel prediction), using this. Overall the concepts are similar, but there are differences primarily around extraction and formatting.Goals of the project:- Demystify LLMs for people, show that it&#x27;s just regular code that does normal stuff- Actually make a pretty good LLM in JavaScript, with a version at least capable of running in a browser tab

Show HN: Next-token prediction in JavaScript

Everyone has JavaScript, right?

I recently needed to make a text appear on a website and I wanted to get this real human feeling that computers don&#x27;t have. I only found the TypeIt lib but it was not free and I didn&#x27;t want to add a dependency for such a simple case.Human replay allows to copy paste a few lines of JS to make a text appear exactly how you typed it.

Show HN: Replay your typing in a few lines of JavaScript

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JavaScript powers the web - it's **the** most important programming language you need to know as a web developer.

## Exempel 1

For example, We have an array of different objects that can weigh the same or different and are spaced apart from us.
The customer wants the lightest and closest object.

```js
object.sort((a,b)=>a.weigh - b.weigh)

 const lightest=(object[0].weigh);
 let sortDistance=(object[0].distance); 

 for (let i = 0; i< object.length; i++) { 
 if (lightest === object[i].weigh && sortDistance > object[i].distance){
 sortDistance = object[i].distance;
 sortObject.unshift(object[i]);
 }else{
 sortObject.push(object[i]);
 }
 }
```

... more comming soon

Mastering JavaScript

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