Alternatives
Products that do what Glyph3D – A 3D text visualizer for macOS and iOS / iPadOS does
Hello internet folks! I'm happy to share the first TestFlight release of Glyph3D, a 3D text visualizer for macOS and iOS. It's free, supports pretty much any utf8 data, and is a pretty interesting way to navigate your repositories or data directories without the limitations of standard text windows! Download and bookmark for macOS and iOS: https://github.com/tikimcfee/LookAtThat/ - You should be able to download public repos from GitHub and render them. - Play with opening and closing windows. I've disabled many of the in-flight features to keep user confusion down,…
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2020 · bennettfeely.com
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Jun 2026 · glyphcss.com
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Glyph is an open-source, local-first Markdown notes app for macOS built with Rust (Tauri) It stores notes as plain files, supports fast search, wikilinks/backlinks, and includes optional AI chat, including implementation of Codex so you can use your chatgpt sub, all without requiring a cloud-first workflow. https://glyphformac.com/
Mar 2026 · glyphformac.com
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I'm the co-creator and maintainer of https://aframe.io/ and long time Web 3D graphics dev. Super excited about new techniques to author / render / represent 3D. Spark is a an open source library to easily integrate Gaussian splats in your THREE.js scene I worked with some friends and I hope you find useful. Looking forward to hearing what features / rendering techniques you would love to see next.
2025 · sparkjs.dev
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I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
Apr 2026 · github.com
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I built this as part of my quest to properly learn data visualization. The code is the easy part! Some lessons learned: - personal verification of the the general truth that pie charts are tough! and the returns are not great for the effort due to people's difficulties perceiving angles - may not use "vanilla" d3 with no React. was difficult to adapt for mobile - the GitHub API provides fairly standardized responses so building dynamic charts wasn't too bad. But when working with streaming data (say Kafka) I can see this getting interesting... schema registry should help but creating a view…
2024 · see-my-repo.netlify.app
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2024 · github.com
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Hey HN! I'm Zach from Adam (https://adam.new/). We’re building an AI co-pilot for mechanical CAD software. As part of our broader research, we built a browser-based Text-to-CAD app (https://news.ycombinator.com/item?id=44182206) and are now open sourcing it. This is a React SPA with a Supabase backend. What it does: * Generates parametric 3D models from natural language descriptions, with support for both text prompts and image references * Outputs OpenSCAD code with automatically extracted parameters that surface as interactive sliders for instant dimension…
2025 · github.com
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Hi folks, My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English. Vizly is built on Llama 2, llama.cpp, and runs fully on-prem (edit: meaning everything is local and your data never leaves your own computer). We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook. We tried to make Vizly very easy to share as well. Every Vizly instance…
2023 · vizly.fyi
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Here's a project I'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've used D3 extensively to create data visualisations so I figured I'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've added a few little niceties to Ripl that (as far as I know) some other libraries don't have such as CSS-like query selectors, DOM-like…
2024 · github.com
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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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I've been going through Cem Yuksel's "Introduction to Computer Graphics" course and thought that writing a volume renderer would be a good way to test my knowledge. It is a common technique used to render 3D medical data. Works by ray marching a specific step size, reading a 3D texture (e.g. MRI data), and calculating opacity values. Code should be easy to get started with for anyone familiar with the JS ecosystem. Questions for the HN community: I spent 20-25% of the entire time just setting up the project and fighting issues with the JavaScript ecosystem. This experience has made me…
2024 · github.com
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