AI · alternatives · 2026
24 alternatives to Next-token prediction in JavaScript
What inspired this project today was watching this amazing video by 3Blue1Brown called "But what is a GPT?" on Youtube (https://www.youtube.com/watch?v=wjZofJX0v4M - I highly recommend watching it). I added it to the repo for reference. When it clicked in my head that "knowing a fact" 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: "I want to be at the beach", "I will do it later",…
Next-token prediction in JavaScript is a language model implementation that predicts the next word in a sequence based on training data. Built in JavaScript, it leverages the language's object structure to efficiently… Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Next-token prediction in JavaScript launched in 2024; newer entries below may have overtaken it.
- 1
Hi HN! I've found this visualization tool immensely helpful over the years for getting an intuition for how an LLM "sees" some piece of text, and with a bit of elbow grease decided to move all compute to client side so I could make it publicly available. I've found it particularly useful for - Understanding exactly how repetition and patterns affect a small LM's ability to predict correctly - Understanding different tokenization patterns and how it affects model output - Getting a general sense of how "hard" different prediction tasks are for GPT-style models Known problems (that I probably…
2023 · perplexity.vercel.app · its alternatives →
- 2
After working with LLMs for long enough, I found myself wanting a lightweight utility for doing various small tasks to prepare inputs, locate information and create evaluators. This library is two things: a very simple model and utilities that inference it (eg. fuzzy deduplication). The target platform is CPU, and it’s intended to be light, fast and pip installable — a library that lowers the barrier to working with strings semantically. You don’t need to install pytorch to use it, or any deep learning runtimes. How can this be accomplished? The model is simply token embeddings that are…
2024 · github.com · its alternatives →
- 3PT
2024 · adamgrant.info · its alternatives →
- 4
Announcing GPT-4.1, GPT-4.1 mini, & GPT-4.1 nano in the API
2025 · openai.com · its alternatives →
- 5
🔍 Search Engine for a Procedural Simulation of the Web with GPT-3. - jokenox/Goopt
2022 · github.com · its alternatives →
- 6
Google’s machine learning algorithms w/ RESTful interface
2015 · cloud.google.com · its alternatives →
- 7
🥞Data Structures and Algorithms explained and implemented in JavaScript + eBook - amejiarosario/dsa.js-data-structures-algorithms-javascript
2019 · github.com · its alternatives →
- 8
Generate blog post ideas in seconds
2020 · usetopic.com · its alternatives →
- 9MI
very much inspired by karpathy's microgpt of the same name. it's (by default) a 4000 param GPT/LLM/NN that learns to generate names. this is sorta an educational tool in that you can visualize the activations as they pass through the network, and click on things to get an explanation of them.
Feb 2026 · microgpt.boratto.ca · its alternatives →
- 10
We release Steerling-8B, an 8B-parameter causal diffusion language model that is interpretable by construction — its predictions are routed through concepts you can measure, audit, and control.
Feb 2026 · guidelabs.ai · its alternatives →
- 11
I asked GPT-3 to guess what the top makers will build next
2021 · its alternatives →
- 12PG
I’m Andrew, co-founder of Recall. Over the past few days I’ve been building Predict, a playground where anyone can: - propose skills we should measure in language models—live examples include difficult math, memory-manipulation resistance, code generation, and empathy under bad news - write evals (graded prompts) for those skills - forecast which models will score highest once GPT-5 is released Why this exists Benchmarks leak into training data quickly; scores are unreliable and labs still declare progress. The prediction tool aims keeps the target moving by letting the crowd define both the…
2025 · its alternatives →
- 13
A proof-of-concept language learning app that uses LLMs to generate definitions of unknown words using only previously mastered vocabulary.
Dec 2025 · simedw.com · its alternatives →
- 14
CapWords▲135Learn a new language with AI-powered object recognition
2025 · capwords.app · its alternatives →
- 15SE
Hi HN! I made a tool that autogenerates simple, high-level explanations of concepts and organizes them in a somewhat university course-like structure so that it's easier to see how things are structured. Currently it has about 20,000 concepts on a range of topics but that's just what I generated so far, it should work with more obscure topics in the future. I love learning about random topics where I don't have a good background in like history or linguistics, but it's hard to figure out what topics there (you don't know what you don't know) are in certain fields and what they are even…
2023 · platoeducation.ai · its alternatives →
- 16
2017 · craftinginterpreters.com · its alternatives →
- 17SS
Hello HN Over the New Year's break, I created semanticvideosearch.com. This can search any video based on meaning and context. I would love to get your feedback on it. What should I change and what can be improved? The preprocessed videos can be search very quickly, while the youtube video links take some time (yt videos also have a upper duration limit due to compute issues). I intend to add search based on the frames of the video soon. I would love to know your thoughts on the demo and any suggestions for improvements. Thanks! PS: the inspiration to create this was to get the 2 mins of…
2023 · semanticvideosearch.com · its alternatives →
- 18
Find the origin of any character in the DOM
2019 · fromjs.com · its alternatives →
- 19AS
We explored a novel method to gauge the significance of tokens in prompts given to large language models, without needing direct model access. Essentially, we just did an ablation study on the prompt using cosine similarity of the embeddings as the measure. We got surprisingly promising results when comparing this really simple approach to integrated gradients. Curious to hear thoughts from the community!
2023 · heatmap.demos.watchful.io · its alternatives →
- 20
Hey HN! I'm excited to introduce Symphony – a toolkit designed to help developers write functions and let GPT-4 call them in whatever sequence that makes most sense based on conversation. I've been quite amazed[1] by GPT-4's recent ability to both detect when a function needs to be called and to respond with JSON that adheres to the function's signature. Since developers currently append descriptions of functions to API calls[2], I often found myself wishing for a toolkit that would automatically create these descriptions as I added and debugged functions during development. You can get…
2023 · symphony.run · its alternatives →
- 21
The from-scratch guide to building large language models in NodeJS.
8d ago · book.humanexperiences.io · its alternatives →
- 22
Full gscript scripting language implementation using the GVM as a runtime environment. A language with objects, functions, strings, numbers and booleans. Easy to hack, understand, embed or modify. - gs-lang/README.md at master · geertvos/gs-lang
2020 · github.com · its alternatives →
- 23
Get unique keyword ideas powered by GPT3
2022 · tools.sandboxweb.io · its alternatives →
- 24AT
Hey HN! Erik here from banana.dev We’ve trained a small(ish) language model on structured extraction, and today we’re launching a playground for it at https://anythingtojson.com. Give it a try! This model continues our work on structured generation, following last week’s launch of Fructose[1], a python client for strongly-typed LLM responses. There seem to be two distinct halves of the problem intended to be solved by Fructose and structured generation: 1. the reasoning ability of the model, such as performing chain of thought, creative acts, and natural language tasks. In a way,…
2024 · anythingtojson.com · its alternatives →
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- Goopt – Search Engine for a Procedural Simulation of the Web with GPT-3 alternatives
- Google Prediction API alternatives
Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →