Alternatives
Products that do what Physics Knowledge Graph does
Wikipedia of STEM Equation Derivations
- 1IM
Hi everyone! I’m the founder of Explanations (https://explanations.app). I’m building a website where students can get college level math & physics help for 1/10th the cost of private tutoring. You’d type a question, and your teacher replies by drawing a Youtube/KhanAcademy-style video; and this happens asynchronously throughout the week. When I was studying at MIT, I often had to wait 40-60 minutes in line just to get 5 minutes of “help” from a TA - when I needed 1-2 hours. I understood that TAs can’t spend all their time helping me. That’s understandable. But what made…
2024
- 2AG
Many JS libraries exist to build graphs on the web (Vega, chartJS, Plotly...). They allow to make charts quickly. But you lose flexibility: you're limited by the options they offer. I just created a gallery with hundreds of graphs made with d3.js and React. - Examples are split by graph types - They all come with explanation and code sandboxes - Gradual complexity to ease the learning curve It took me ages to create this project! Feedback welcome!
2023 · react-graph-gallery.com
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Good math problems are hidden inside textbooks and online documents. To keep up with all the sources in the world is hard. For someone who just wants to continuously solve problems, finding and going through all the sources feels like a hassle. I wished for a website that could just dump all the math problems available in the world out there. And if I could filter the problems by topics, that would be beautiful. teachyourselfmath is a side project that was born out of this need. At its core, it is a math PDF extraction engine. The engine has some machine learning going on behind the scenes…
2024 · teachyourselfmath.app
- 4LO
Hello HN, Over the last 12 months, I have been building https://learnawesome.org This idea came from Danny Hillis' 2012 talk at OSCON, which itself was inspired from Neal Stepehenson's _The Diamond Age : A Young Lady's Illustrated Primer_ The dream is to build a tool that matches the right learning material to the right student at the right time. Wikipedia is great, but it doesn't do a good job of leveraging the rich variety of learning resources that exist on the Web. Same applies to GoodReads - which is focused only on books, whereas these days we actually learn from videos,…
2020
- 5NI
Understanding scientific articles can be tough, even in your own field. Trying to comprehend articles from others? Good luck. Enter, Now I Get It! I made this app for curious people. Simply upload an article and after a few minutes you'll have an interactive web page showcasing the highlights. Generated pages are stored in the cloud and can be viewed from a gallery. Now I Get It! uses the best LLMs out there, which means the app will improve as AI improves. Free for now - it's capped at 20 articles per day so I don't burn cash. A few things I (and maybe you will) find interesting: * This is…
Feb 2026 · nowigetit.us
- 6AI
2023 · x0axz.com
- 7DE
2015 · lewis500.github.io
- 8TP
Hi HN, we’re building deriveit.org, the website where you can learn any topic, quickly. On our website, you pay to ask any physics, computer science, or math question, and our community competes to give you the best explanation (for a cash reward). Right now, resources with high quality content are a time drain (papers, textbooks, and courses). We think that material is typically written in an unnecessarily hard-to-read way, but that there are tons of people who are passionate about explaining it well to others. We want to give the world access to those people, and remove barriers for them…
2023 · deriveit.org
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- 11TA
We’re building TheorIA— an open, high quality dataset of theoretical physics results: equations, derivations, definitions, and explanations — all in structured, machine- and human-readable JSON. Why? Physics is rich with beautiful, formal results — but most of them are trapped in PDFs, LaTeX, or lecture notes. That makes it hard to: - train symbolic/physics-aware ML models, - build derivation-checking tools, - or even just teach physics interactively. THEORIA fills that gap. Each entry includes: A result name (e.g., Lorentz transformations) Clean equations (AsciiMath) Straightforward…
2025 · theoria-dataset.github.io
- 12IC
I figured, "what better way to look at a list of (hopefully) inspiring projects?" The upvotes work and are globally synced.
2024 · guycombinator.net
- 13HU
Link here: http://beta.whatispolymath.com Despite all the educational material on the web, I found it pretty hard to learn how to code and design. I had trouble finding high-quality content, figuring out what to learn next, and staying motivated without easy ways to track my progress. So, my co-founder and I built Polymath. Our MVP is pretty simple right now: you can find & submit good content, bookmark & track your progress across different resources, and rate/comment on the material. We’re trying to build a really fun online learning community, and we’ve got some more cool features…
2012
- 14MO
Hi HN! We're happy to announce the launch of Mapedia.org, an open source crowdsourced learning map! Mapedia is a new kind of learning platform at the crossroad between Wikipedia, Google Maps and Khan Academy: a learning map built collaboratively to support online learners to learn any topic seamlessly. We built an interactive learning map of topics to be able to visualize the different fields of knowledge, what concepts are included in them and how they relate to each other. This allows for curiosity based exploration, identifying knowledge gaps (unknown unknowns) and figuring out what to…
2022 · mapedia.org
- 15TC
Hello, I wanted to share with you all a interactive map of the economics and physics constraints of the AI buildout. It has macro drivers, industrial chokepoints, and where that shows up in markets. I've added 393 nodes and 562 edges to capture other supply / physics constraints as well. There's no sign up, and no pay wall, it's all free. Please let me know what you think!
Jun 2026 · atomprophet.io
- 16HS
Hey HN – Stefan and Elijah here from DAGWorks (http://dagworks.io/, YC W23). If you don’t remember us from our previous HN launch (https://news.ycombinator.com/item?id=35056903), we’re the authors of Hamilton (https://github.com/dagworks-inc/hamilton), an open-source library for building self-documenting, modular dataflows in python that works for data, ML, LLM pipelines, & even web-workflows. We’ve been developing this UI for a while and we’re excited to say we open-sourced it! It comes out of the box with the following capabilities, and…
2024 · github.com
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During my (ongoing) engineering degree, I've often looked up formulas and been frustrated at the lack of reliable results. Some formulas (usually the easy ones) get their own blurb on Google results, while others are a few clicks away, or are most easily accessed by looking at random university slides on Google images. It felt like, in this day and age, there should be a site that serves the small but noble purpose of being a source of truth for formulas, while leveraging modern website technology to provide a fast and user-friendly experience. So, I made stemformulas.com (with some…
2023 · stemformulas.com
- 19BF
HN, first things first: one year ago you make me believe in my opensource AI project, and I'm forever grateful[1]. I am back with Beam - a technique to use diverse LLMs to generate responses, and Merge them - all within a snappy UX. I am no researcher, so you'll find a dark-mode blog, and not a light-mode PDF on arxiv :) Blog, open code, and live hosted demo, all published. You can use Beam early on in a chat, where looking at more options is key to be more confident in the answer, but also when no answer if perfect, but fusing many together will work well. Take a look and let me know what…
2024 · big-agi.com
- 20RO
A few weeks ago, during the LK-99 hype, I made a demo app to explain superconductors in simple terms using RAG over relevant Wikipedia pages. I thought it would be cool to extend this to all physics-related Wikipedia pages (which turns out to be ~ 14K). After getting the text and splitting the pages, I ended up with around 100K chunks. I created all the embeddings using OpenAI’s embedding API, which cost around $7. I stored all the vectors in Pinecone.
2023 · llm-99.vercel.app
- 21AP
Hi HN. I built a prototype AI physics tutor that can interpret, draw, and edit free body diagrams. Lately I've been transfixed with generating diagrams with LLMs. If you pipe generated JSON through a D3.js renderer, you can get pretty consistent SVG results with the smarter models. This physics tutor prototype is an example of an application. For a couple premade scenes, you can ask it to make an FBD, decompose an angled force into components, run through the math of Newton's Second Law, or off-road and try and generate a FBD for a scene of your own description. I previously made a similar…
2025 · physicsviewer.com
- 225D
597 days ago, I posted about the project our team was developing - https://news.ycombinator.com/item?id=3183322 - here on HN, and today we're finally taking the wraps off what we've been working on since then. At it's core, what we've been building is an end-to-end solution for creating, storing, and working with structured content in a way that's accessible to anyone. You can check out an introduction - http://team.marquee.by/introducing-marquee/ and dig into the technical/philosophical details of our approach -…
2013
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I built a dependency graph for entire tree of human science
Feb 2026 · build-five-dun.vercel.app
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