Alternatives
Products that do what Graphgpt - 2D, 3D, Stats & Econs Graphs does
Graphgpt turns prompts into publish‑ready graphs.
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Creator here. I built ChartGPU because I kept hitting the same wall: charting libraries that claim to be "fast" but choke past 100K data points. The core insight: Canvas2D is fundamentally CPU-bound. Even WebGL chart libraries still do most computation on the CPU. So I moved everything to the GPU via WebGPU: - LTTB downsampling runs as a compute shader - Hit-testing for tooltips/hover is GPU-accelerated - Rendering uses instanced draws (one draw call per series) The result: 1M points at 60fps with smooth zoom/pan. Live demo:…
Jan 2026 · github.com
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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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Let AI create a full-stack web app based on your description
2023
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Hi, we're MathGPT! MathGPT creates Khan-Academy-style animated math videos that intuitively explain complex concepts to students, helping them understand how to solve their problems step-by-step. We're currently serving over 2M users, processing 800M tokens / day and growing! If you try it out, we would appreciate feedback on how we can make the overall experience / video generation better! Email me at ygk2[at]cornell.edu.
2024 · math-gpt.org
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2024 · columns.ai
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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
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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
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Hey HN! I’m Zach one of the co-founders of Adam (https://www.adamcad.com). We're building AI-powered tools for CAD and 3D modeling [1]. We’ve recently been exploring a new way to bring GPT-style image editing directly into 3D model generation and are excited to showcase this in our web-app today. We’re calling it creative mode and are intrigued by the fun use cases this could create by making 3D generation more conversational! For example you can put a prompt in such as “an elephant” then follow it up by “have it ride a skateboard” and it preserves the context, identity and…
2025 · adamcad.com
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Hi everyone! Graphs is the intersection of data visualization and the daily web puzzle genre (Wordle, NYT Mini Crossword, Connections, etc.). Every day, you are given a nameless graph and 5 options to select the right dataset it is representing. Upon winning, you can access the underlying dataset and other info + maintain a streak and stats. It's super simple - check out today's chart and you should be able to get the gist quickly. My email + twitter account (@graphsgame) is on the page, would love a feedback or a follow. Don't hesitate to reach out!
2024 · graphs.world
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2023 · gptcalculator.xyz
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2015 · github.com
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