- Berkeley, CA
- https://www.linkedin.com/in/douglas-holman/
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Empowering everyone to build reliable and efficient software.
Build smaller, faster, and more secure desktop and mobile applications with a web frontend.
An extremely fast Python package and project manager, written in Rust.
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
🦀 Small exercises to get you used to reading and writing Rust code!
ripgrep recursively searches directories for a regex pattern while respecting your gitignore
A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.
Lightweight coding agent that runs in your terminal
A markup-based typesetting system that is powerful and easy to learn.
An extremely fast Python linter and code formatter, written in Rust.
Extremely fast Query Engine for DataFrames, written in Rust
Servo aims to empower developers with a lightweight, high-performance alternative for embedding web technologies in applications.
Fullstack app framework for web, desktop, and mobile.
Rust / Wasm framework for creating reliable and efficient web applications
A smarter cd command. Supports all major shells.
The user-friendly command line shell.
Secure and fast microVMs for serverless computing.
A runtime for writing reliable asynchronous applications with Rust. Provides I/O, networking, scheduling, timers, ...
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Open-source search and retrieval database for AI applications.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Ergonomic and modular web framework built with Tokio, Tower, and Hyper
A Git-compatible VCS that is both simple and powerful
🦔 Fast, lightweight & schema-less search backend. An alternative to Elasticsearch that runs on a few MBs of RAM.
Neon: Serverless Postgres. We separated storage and compute to offer autoscaling, code-like database branching, and scale to zero.