Rach
Frontend DeveloperBay Area, CanadaMember since June 26, 2026
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
kuri
March 4, 2026 – Present
Browser automation, web crawling, and iOS + Android device control for AI agents. Zig-native, token-efficient CDP snapshots, HAR recording, native adb wire-protocol client, and a standalone fetcher.
View Projectmerjs
March 3, 2026 – Present
A Zig-native web framework. File-based routing, SSR, type-safe APIs, WASM client interactivity. No Node. No npm. Just zig build serve.
View Projectcodedb
March 3, 2026 – Present
Zig code intelligence server and MCP toolset for AI agents. Fast tree, outline, symbol, search, read, edit, deps, snapshot, and remote GitHub repo queries.
View Projectdevswarm
February 28, 2026 – Present
High-performance MCP server, code graph engine & evolutionary algorithm platform in Zig. 33 tools: GitHub project management, agent swarm orchestration, iterative review-fix loops, blast radius analysis, and code navigation via Model Context Protocol.
View Projectnanobrew
February 15, 2026 – Present
The fastest macOS package manager. Written in Zig. 3ms warm installs.
View Projectdhi
October 4, 2025 – Present
⚡ Ultra-fast data validation for Python & TypeScript. Drop-in Pydantic/Zod replacement powered by Zig + SIMD WASM.
View ProjectturboAPI
March 15, 2025 – Present
FastAPI-compatible Python framework with Zig HTTP core; 7x faster, free-threading native
View Projectbhumi
January 31, 2025 – Present
⚡ Bhumi – The fastest AI inference client for Python, built with Rust for unmatched speed, efficiency, and scalability 🚀
View Projectkew
October 31, 2024 – Present
🚀 Kew - A Fast, Redis-backed Task Queue Manager for Python
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on backend, systems programming, and performance optimization, primarily using Zig, Rust, and Python. While JavaScript and TypeScript are listed in some projects, the core contributions lean away from traditional frontend development. This suggests a potential mismatch with a 'Frontend Developer' target role, which typically requires deep expertise in UI frameworks, CSS, and user experience design. The candidate's profile indicates a strong preference for building infrastructure and tooling rather than direct user-facing applications.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's project descriptions indicate a strong drive for performance and innovation, but collaboration and communication styles are not evident.