Alternatives
Products that do what Modeling the human body in Rust so I can cmd+click through it does
I started this trying to understand two things: why my Asian friends turn red after drinking, and why several friends all seemed to have migraine clusters. I was reading medical papers and textbooks, but kept getting lost jumping between topics. I thought: what if I could just Cmd+Click through this like code? What if "ALDH2 gene" was actually clickable, and took me to the variant, the phenotype, the population frequencies? So I started modeling human biology in Rust with my Ralph agent (Claude in a loop, ty ghuntley). Turns out the type system is perfect for this. Every biological entity is…
- 1LS
2021 · joelthelion.github.io
- 2GA
I made a web game inspired by Geoguessr and Wordle, where you get shown a 3D model of a random human protein each day, and you have to triangulate its gene name using similarity clues. My background is in wet lab molecular biology and I intend this game to be engaging mostly to other biologists. But if you're outside the field, I'm interested to know if you can still solve it with browser use LLMs, and if you learned something interesting doing so. Let me know what you think. I made it with Claude over the last 2 months. My coding experience is limited to basic python data analysis and…
Dec 2025 · geneguessr.brinedew.bio
- 3HO
Hey HN, we want to share HelixDB (https://github.com/HelixDB/helix-db/), a project a college friend and I are working on. It’s a new database that natively intertwines graph and vector types, without sacrificing performance. It’s written in Rust and our initial focus is on supporting RAG. Here’s a video runthrough: https://screen.studio/share/szgQu3yq. Why a hybrid? Vector databases are useful for similarity queries, while graph databases are useful for relationship queries. Each stores data in a way that’s best for its main type of query (e.g.…
2025 · github.com
- 4IB
I've been working on nodes.bio - an interactive tool for visualizing biological networks and systems thinking. The tool features interactive network visualization powered by Cytoscape.js, with real-time graph editing and manipulation capabilities. It supports JSON import/export and provides a responsive design that works seamlessly on the desktop (mobile-friendly version coming later). The tech stack combines modern frontend technologies with robust backend architecture. The frontend uses Next.js 14 with TypeScript and Cytoscape.js for the visualization engine. The backend is built with…
2025 · nodes.bio
- 5NE
Hey! I built this system to humanize NPCs by giving them emotions using Rust and ML. The system provides emotion coordinates (based on Russell's circumplex model) from text input or actions, with persistent emotional memory per entity. Think NPCs that remember how they feel about specific players or events. I pre-trained a DistilBERT model on ~1k video game dialogues (Skyrim, Cyberpunk, etc.) and plan to extract and evaluate 100k+ dialogues soon. However studio/team can manually add dialogues to enrich their own dataset. The matrix doesn't generate dialogue, it only analyzes content.…
Sep 2025 · github.com
- 6DT
at a pub in london, 2 weeks ago - I asked myself, if you spawned agents into a world with blank neural networks and zero knowledge of human existence — no language, no economy, no social templates — what would they evolve on their own? would they develop language? would they reproduce? would they evolve as energy dependent systems? what would they even talk about? so i decided to make myself a god, and built WERLD - an open-ended artificial life sim, where the agent's evolve their own neural architecture. Werld drops 30 agents onto a graph with NEAT neural networks that evolve their own…
Feb 2026 · github.com
- 7MR
Hey HN! We’ve just open-sourced model2vec-rs, a Rust crate for loading and running Model2Vec static embedding models with zero Python dependency. This allows you to embed text at (very) high throughput; for example, in a Rust-based microservice or CLI tool. This can be used for semantic search, retrieval, RAG, or any other text embedding usecase. Main Features: - Rust-native inference: Load any Model2Vec model from Hugging Face or your local path with StaticModel::from_pretrained(...). - Tiny footprint: The crate itself is only ~1.7 mb, with embedding models between 7 and 30 mb. Performance:…
2025 · github.com
- 8IM
My cofounder and I run a startup in oncology, where we handle cancer genomics data. It occurred to me that, thanks to a recent complexity theory result, there's a clever way to run bioinformatics algorithms using far less RAM. I built this Rust engine for running whole-genome workloads in under 100MB of RAM. Runtime is a little longer as a result - O(TlogT) instead of O(T). But it should enable whole-genome analytics on consumer-grade hardware.
Nov 2025 · github.com
- 9AR
I've come to prefer modeling state machines with nested states, but implementing them by hand requires a large amount of error-prone boilerplate that obscures the important logic of the state machine. I found that the existing offerings in the Rust ecosystem - while inspiring - lacked a number of features that I was looking for, so I spent the last few months building moku. Feedback is welcome!
2025 · docs.rs
- 10GT
Hi HN, In the past few years I've become more interested in machine learning. Since I'm sure the same is true for many here, I wanted to share this project I've been working on: glowstick uses type-directed metaprogramming to keep track of tensor shapes in Rust's type system and determine which operations are permitted or not at compile time. I find Rust has a lot of strengths when it comes to ML applications, but waiting until runtime to find shape related issues feels a bit strange since normally I don't run the code all that often while developing. Given Rust has fancy types available, I…
2025 · github.com
- 11CD
2023 · github.com
- 12RI
2020 · github.com
- 13PR
Hi HN, Founder here. We built Pica, an open-source platform in Rust to enable agentic AI with three main focus areas: - Access to APIs and tools: Universal SDKs that let AI agents use thousands of external actions without blowing up your context window. - Visibility and traceability: Full audit logs of every decision/action to ensure transparency and accountability. - Alignment with human intentions: Seamless guardrails for autonomous tasks; e.g., restricting certain email actions to human approval. Why this matters: As autonomy in AI grows, we need robust solutions for trust and…
2025 · picaos.com
- 14RL
2021 · github.com
- 15VC
Hi HN, I’m the creator of SynapsCAD, an open-source desktop application I've been building that combines an OpenSCAD code editor, a real-time 3D viewport, and an AI assistant. You can write OpenSCAD code, compile it directly to a 3D mesh, and use an LLM (OpenAI, Claude, Gemini, ...) to modify the code through natural language. Demo video: https://www.youtube.com/watch?v=cN8a5UozS5Q A bit about the architecture: - It’s built entirely in Rust. - The UI and 3D viewport are powered by Bevy 0.15 and egui. - It uses a pure-Rust compilation pipeline (openscad-rs for parsing and csgrs…
Feb 2026 · github.com
- 16OS
I just published an open-source protein and ligand viewer. Goal: fast and easy-to-use. Long-term: It's a platform for docking and molecular dynamics. The basic functionality for viewing and inspecting work. I'm currently working on Coot-like electron-density viewing. I'm gradually splitting it into standalone libs, published to crates.io. Some are up already, others are integrated, and will be split off when sufficiently mature and decoupled. Uses parallel execution when able, through thread pools (Rayon), CPU SIMD and Cuda. The default control scheme is non-standard, unless you play video…
2025 · github.com
- 17RA
Rustacean AI, a weekly newsletter exploring how Rust is shaping the future of AI and Machine Learning. Issue #1: From Models to Data — Rust’s Expanding Role in AI Covers the growing Rust ecosystem around AI frameworks (Burn), data systems (Polars, Qdrant, Daft), and emerging tools that power safe, high-performance pipelines. The goal is to curate news, releases, and experiments from across the Rust + AI community — helping developers follow how the language is influencing the next generation of infrastructure. Read first issue here →…
Oct 2025 · rustacean.ai
- 18
A fast, native app for local coding agents. Amp, Claude Code, Codex, Cursor, OpenCode, Grok, and Pi — one timeline, entirely on your machine.
22d ago · waku.sh
- 19CA
Code is here: https://github.com/bebrws/bevy-snake I had a lot of fun practicing Rust and Learning some Bevy concepts with this repository. Bevy has an incredibly powerful dependency injection system and follows a pattern called ECS which makes it very powerful (and new to me). This simple < 300 lines of code might help with learning some Bevy concepts. It also shows how to copmile for the web/WASM and inject a canvas for the game (or use a pre existing div).
2024 · bbarrows.com
- 20AB
2022 · thesciencegab.com
- 21
Hi HN, I built VT Code, a semantic coding agent. Supports all SOTA and open sources model. Anthropic, OpenAI, Gemini, Codex. Agent Skills, Model Context Protocol and Agent Client Protocol (ACP) ready. All open source models are support. Local inference via LM Studio and Ollama (experiment). Semantic context understanding is supported by ast-grep for structured code search and ripgrep for powered grep. I built VT Code in Rust on Ratatui. Architecture and agent loop documented in the README and DeepWiki. Repo: https://github.com/vinhnx/VTCode DeepWiki:…
Apr 2026 · github.com
- 22
- 23TI
I'm an "ideas person" who messes around with AI on a low budget. I got tired of watching my tokens vanish and context windows filling up while agents fumbled around trying to find the right thing. Agents don't flail like they used to with shell tools, but there are still weak/blind spots and back-and-forth episodes — especially when using tools in combination/sequence. So I built "tilth" today. Or rather, AI built it — every line is Opus 4.6. I spent a lot of my precious tokens getting it to "not shit" (at least several of the different vendors' AI overlords assure me it's not…
Feb 2026 · github.com
- 24GR
Hi everyone, wanted to share about gline-rs, an inference engine for GLiNER models written in Rust. This family of lightweight language models proved to be efficient at zero-shot Named Entity Recognition (NER) and other tasks such as Relation Extraction, while consuming less resources than large generative models (LLMs). This implementation has been written from the ground up in Rust, and supports both span- and token-oriented variants (for inference only). The goal is to provide a production-grade and user-friendly API in a modern and safe programming language, including a clean and…
2025 · github.com
Ranked by how close each launch is in meaning, then by votes. Refine with a description →