Software Engineer from India. Started with "how does this even work?" and ended up reading documentation at 3 AM to find out. One thing led to another, and now I build the tools I once struggled to understand. Specializing in networking protocols, distributed systems, and backend development.
- ๐ญ Currently Building: NexoralDNS - A Docker-based DNS server for LANs
- ๐ฑ Learning: Database design, Database internals, Networking, Golang, Node.js internals
- ๐ฏ Collaborating On: AxioDB - A custom NoSQL database built with Node.js & TypeScript
- ๐ผ Organization: Nexoral - Where I host my infrastructure and tooling projects
- ๐ Writing At: blog.ankan.in - Documenting what I experience and learn
- ๐ฌ Talk to me about: DNS, TCP/IP, Message queues, Database internals, Node.js runtime
- ๐ซ Email: connect@ankan.in
๐ก Fun Fact: I get my best project ideas in the washroom. ๐ฝ Every single repo I've built started as a shower thought. My brain works best at 3 AM sitting on the toilet. ๐
Docker-based smart DNS server for Local Area Networks with custom domain management, DNS traffic monitoring, and security filtering. Features web-based management interface and Docker deployment. Built with Node.js and TypeScript using dgram for UDP/TCP socket handling, Fastify for the API layer, and Next.js for the management dashboard.
Why built: Ever edited /etc/hosts on five different machines just to test one local domain? Ever wanted your own DNS server for your home lab without exposing it to the internet? That's why this exists.
Problem solved: Eliminates the hassle of managing /etc/hosts files across multiple machines, provides network-wide custom domain resolution, and adds security filtering for home/office networks.
Tech Stack: Node.js, TypeScript, Docker, dgram, Fastify, Next.js
Lightweight embedded NoSQL database for Node.js applications. Pure JavaScript alternative to SQLite with MongoDB-style queries, AES-256 encryption, zero native dependencies, and built-in web GUI at localhost:27018. Uses tree-like file structure for fast retrieval and worker threads for parallel processing. Optimized for 10K-500K documents.
Why built: Started building an Electron app and needed local storage. Tried JSON files firstโworked fine with 50 records, got painfully slow at 1K+. Switched to SQLite, spent 6 hours fighting node-gyp rebuild errors across Windows and Mac. Deployed to production, got native binding errors. That weekend, I built AxioDBโpure JavaScript, no native dependencies, works everywhere Node.js runs. 2000+ downloads on NPM later, turns out I wasn't the only one tired of this struggle.
Problem solved: AxioDB gives you MongoDB-like queries (find, insert, update, delete, aggregate) without the hassle. Just npm install axiodb and you have a databaseโno mongod process, no native bindings, no cross-platform compilation nightmares. Perfect for Electron apps, CLI tools, small websites, and anywhere you need a lightweight database that just works.
Tech Stack: Node.js, TypeScript, Worker Threads, Filesystem APIs
Universal Linux package builder that converts standalone binaries into native package formats (.deb, .rpm, tar.gz). Automates the creation of reproducible packages with configurable metadata, installation scripts, and service files. Designed for CI pipelines and Linux software maintainers.
Why built: I know many friends who code in C, Golang, Rustโthey build, run ./bin, and it works. But ever thought about how to ship your binary to real users who install packages with sudo dpkg -i? That gap between "it works on my machine" and actual distribution is why this exists.
Problem solved: Streamlines the packaging process for Linux software distribution, automating repetitive tasks like metadata generation and file layout management. Makes CI/CD packaging simple with one command.
Tech Stack: Go, Linux packaging formats
CLI tool for automating containerized database management. Provides instant setup of MongoDB, Redis, MySQL, PostgreSQL, and MariaDB with one-click installation of management tools (phpMyAdmin, pgAdmin, RedisInsight). Features Docker network integration, data persistence, and Docker Compose export/import capabilities.
Why built: Ever faced "core dumped" errors while installing MongoDB on your local Linux machine? Ever spent three hours debugging Docker network configurations just to connect pgAdmin to PostgreSQL? This tool was born from that pain.
Problem solved: Turns database environment setup from a multi-hour debugging session into a single command. Solves version compatibility issues, complex Docker configurations, and provides consistent development databases across teams.
Tech Stack: Go, Docker, CLI
Additional infrastructure and tooling projects available at the Nexoral organization.
Technical articles covering networking, infrastructure, and low-level programming:
๐ blog.ankan.in - Implementation notes and protocol deep-dives
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