AI · alternatives · 2026
24 alternatives to LiminalML
Create interactive technical explanations people can explore. Start with a visual format, shape the story, and share or export a working artifact. No code or account required.
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 1
Liminal▲116A workspace & 2nd brain for you, your agent, and your team
Jul 2026 · useliminal.xyz · its alternatives →
- 2
Built a ~9M param LLM from scratch to understand how they actually work. Vanilla transformer, 60K synthetic conversations, ~130 lines of PyTorch. Trains in 5 min on a free Colab T4. The fish thinks the meaning of life is food. Fork it and swap the personality for your own character.
Apr 2026 · github.com · its alternatives →
- 3
Liminary▲146Ground your AI in saved knowledge as you work
May 2026 · liminary.io · its alternatives →
- 4
I spent a lot of time and money on this rather big side project of mine that attempts to replicate the mechanistic interpretability research on proprietary LLMs that was quite popular this year and produced great research papers by Anthropic [1], OpenAI [2] and Deepmind [3]. I am quite proud of this project and since I consider myself the target audience for HackerNews did I think that maybe some of you would appreciate this open research replication as well. Happy to answer any questions or face any feedback. Cheers [1]…
2024 · github.com · its alternatives →
- 5HL
All content is based on Andrej Karpathy's "Intro to Large Language Models" lecture (youtube.com/watch?v=7xTGNNLPyMI). I downloaded the transcript and used Claude Code to generate the entire interactive site from it — single HTML file. I find it useful to revisit this content time to time.
Apr 2026 · ynarwal.github.io · its alternatives →
- 6
I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io · its alternatives →
- 7IM
As you solve LeetCode questions, you can mark them as hard, medium, or easy. The tool will then recommend questions you should review based on (1) how hard the question was for you and (2) how much time has passed since you last reviewed it. I'd recommend normally attempting LeetCode problems and just marking them as hard, medium, or easy for you at first so the tool knows which problems to recommend you review! Here's the theory behind spaced repetition and learning if interested: https://www.codecademy.com/article/spaced-repetition
2024 · lanki.xyz · its alternatives →
- 8
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com · its alternatives →
- 9
LeetCode for PyTorch — 65 ML/AI interview problems from real interviews at Google, Meta, Anthropic. Jupyter notebooks, an auto-grader, and an MCP AI tutor. - Exorust/TorchLeet
2025 · github.com · its alternatives →
- 10
folio▲74hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…
Apr 2026 · usefolio.ai · its alternatives →
- 11
PrometheusML▲63Intuitive & interactive way to run data science experiments
2022 · yailab.com · its alternatives →
- 12
The HN community may find the context of the prompts, organized by each turn in each session, the most useful. See the website/docs/prompts.md and session-X.md files. I also started exploring some workflows for the LLM to execute, organized in the website/docs/tasks/ folder. I found it pretty handy to have the LLM document our work as we went and simply embedded the static site into the executable, along with all the music and logic. The whole project took me about a day for the backend. The C++ controller itself took only a few turns. I enjoyed focusing on my son's…
2025 · github.com · its alternatives →
- 13
Hello HN! I’m Elias. I’ve been an educator in Engineering and Computer Science for some years, and I'm always looking for ways to make learning more engaging and hands-on. A few months ago, I started experimenting with the idea of a book that changes and evolves as you interact with it. It started with a chapter on sorting but that snowballed into a 22-chapter interactive book. My objective in writing this book, was to introduce a more interactive format for technical books that doesn't require internet access, that is lightweight, comprehensive, cross-platform, and can provide a better…
2025 · cartesian.app · its alternatives →
- 14
AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally! - mljar/automl-app
2023 · github.com · its alternatives →
- 15BI
Hello HN, Recently an amazingly beautiful explainer was shared on HN: https://explainers.blog/posts/why-is-the-sky-blue/ I loved it so much that I wished more topics were explained that way. So, I decided to stress-test today's frontier models (Opus 4.6 in Claude Code) to generate similar explainer on any given topic WITH (almost) one shot and minimal nudging. I'm launching with four topics: Fourier transformation, scaling laws in bio, cellular automata and LLMs. I would let you be the judge, but I'm quite liking them. Some things I learned: - Prompting CC to test…
Feb 2026 · paraschopra.github.io · its alternatives →
- 16
I've been tinkering with getting Llama-8B to bootstrap its own research skills through self-play. The model generates questions about documents, searches for answers, and then learns from its own successes/failures through RL (hacked up Unsloth's GRPO code). Started with just 23% accuracy on Apollo 13 mission report questions and hit 53% after less than an hour of training. Everything runs locally using open-source models. It's cool to see the model go from completely botching search queries to iteratively researching to get the right answer.
2025 · github.com · its alternatives →
- 17
I’ve been working on something called Davia — a platform for creating interactive documents. These are “living documents”: each page is self-contained, combining editable content, interactive components, and data. You can read them, edit them, and actually interact with them — more like mini-apps than static docs. Here’s what makes it interesting: The interactive components are pieces of code generated on the fly, so you’re not limited to a fixed set of blocks like in Notion. You can create infinitely flexible functionality right inside a doc. Technically, an interactive page is an ensemble…
2025 · old.reddit.com · its alternatives →
- 18
SyntaxNext▲27Ace coding interviews with AI voice, anytime on LeetCode
2025 · chromewebstore.google.com · its alternatives →
- 19
It’s written in Python and I call it GoalChain. It lets you build a conversation flow graph that the user traverses. When there’s enough input it spits out a dictionary with the defined fields. Otherwise it will jump state to state as led by the user. It was fun to write, and it’s surprisingly effective if you keep in mind you’re prompt-engineering every string and field name. README.md has a mini-tutorial. Would be cool to get some ideas for how to build it further and what improvements I could make.
2024 · github.com · its alternatives →
- 20
I've been using LLMs for long discovery and research chats (papers, repos, best practices), then distilling that into phased markdown (build plan + tests), then handing those phases to Codex/Claude to implement and test phase by phase. The annoying part was always the distillation and keeping docs and architecture current, so I built Unpack: a lightweight GitHub template plus docs structure and a few commands that turns conversations into phases/specs and keeps project docs up to date as the agent builds. It can also generate Mintlify-friendly end-user docs. There are other…
Feb 2026 · github.com · its alternatives →
- 21
Periplus▲20I've been building this for a few months now, started because I was frustrated with how I learn using LLMs. You get a wall of text that vanishes into chat history. Wikipedia's the opposite: endless rabbit holes without structure. I wanted something in between. Periplus generates courses as connected markdown documents, tailored to your level. It asks a few questions upfront, builds a syllabus, and each concept links to related ones. Click a term you don't understand and it opens a new document side-by-side. Heavy inspiration from Obsidian - the graph view is similar, and there's an Obsidian…
2025 · periplus.app · its alternatives →
- 22IB
Hey all! I wanted to share this project I've been working on that can maybe help you or your developer friends out. I built a RAG system for our product a while back and didn't realize how easy they were to get started. So I put together my learnings into this online course. It's not quite ready but if you sign up and mention HackerNews, I can get you early access. I'm looking to get feedback on the following: (1) materials — is it engaging & did you learn something? (2) UI/UX of the platform — did you have any issues that prevented you from starting or finishing the tutorial? (3)…
2024 · takehomes.com · its alternatives →
- 23
I've seen a lot of comments about how complex frameworks like LangChain can be. Over the holidays, I wanted to see how minimal an LLM framework could get if we stripped away everything non-essential. The result is an LLM framework in just 100 lines of code. These 100 lines capture what I see as the core abstraction of most LLM frameworks: a nested directed graph that breaks down tasks into multiple LLM steps, with branching and recursion to enable agent-like decision-making. From there, you can layer on more advanced features like agents, RAG, task decomposition, and more. I’ve intentionally…
2025 · github.com · its alternatives →
- 24
Also compare
- Liminal alternatives
- I built a tiny LLM to demystify how language models work alternatives
- Liminary alternatives
- Llama 3.2 Interpretability with Sparse Autoencoders alternatives
- How LLMs Work – Interactive visual guide based on Karpathy's lecture alternatives
- Turn any website into a knowledge base for LLMs 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 →