This repository is a community-maintained static directory of remote-friendly tech companies, built with Eleventy v3 and deployed on Netlify. The core dataset consists of ~850+ Markdown files with YAML frontmatter, each representing a company profile with fields like remote policy, tech stack, region, and size. The site transforms this data into an accessible, searchable web interface with tagging, filtering, and SEO optimizations. While primarily a data curation project, it incorporates sophisticated build tooling: design tokens drive Tailwind CSS, custom WebC components provide UI patterns, and a CI pipeline validates contributions and checks for link rot. The repository is hybrid — it is both a curated dataset (data_research) and a static site application (application) — but its primary value lies in the maintained, validated collection of remote work opportunities.
This repository is a community-maintained domain classification dataset used by V2Ray/Project V for geosite routing. It contains over 1,500 plaintext list files organized by company, service, region, or functional category (e.g., ads, AI, education, porn). Each file uses a compact rule language supporting domain, full, keyword, regexp entries, attributes (@cn, @!cn, @ads), and include directives for hierarchical composition. A Go builder (main.go) compiles these lists into a protobuf binary (dlc.dat) with deduplication, redundant subdomain pruning, and optional custom profile assembly. A companion tool (cmd/datdump) reverses the binary back to plaintext for auditing. The repository is primarily a data pipeline: raw curated lists are transformed into a consumable routing artifact. While the Go tooling is essential, the core value lies in the curated data and its modular, attribute-based taxonomy. This hybrid nature (data with application tooling) is typical of domain-specific datasets that require compilation.
This repository maintains a denylist of Helium Hotspot public keys used to exclude specific Hotspots from Proof-of-Coverage challenges. It provides both human-readable CSV lists and machine-readable binary xor filters. The repository features a multisig approval process for updates, automated CI/CD pipeline for generating signed artifacts, and clear contribution guidelines. While the core data is simple lists of public keys, the release process demonstrates solid data engineering practices for secure, versioned data distribution.
This repository is the canonical source of tldr-pages, a community-maintained collection of simplified man pages for command-line tools. It contains tens of thousands of Markdown files organized by language and platform, each providing concise usage examples for a CLI command. The repository also includes a suite of validation scripts, a build system for generating indexes and archives, and a client specification for consuming the pages. While primarily a documentation project, the tooling (Node.js and Python scripts) constitutes a small application layer that ensures consistency, quality, and automated releases. The repo supports translations in over 30 languages, with strict formatting and linting enforced by CI/CD pipelines. It is not a standalone application but the authoritative dataset and tooling for the tldr ecosystem.