Hi there π 
I'm Stan, a software engineer interested in all parts of the stack, from low-level system programming and infra to web development and mobile apps.
I love building and contributing to open-source projects in my free time. I spend a bit too much time on GitHub, so you might find interesting things in my starred projects.
Projects
Here are some of my projects. I hope you find them interesting!
Web π
- Larafeed: Web-based feed reader, built with Laravel, Inertia and React with some neat features
- Gongyu: A modern, self-hosted bookmark manager inspired by Shaarli, built with Laravel, Inertia and React
- Bulla: A self-hosted commenting system for static websites and blogs, built with Laravel, Inertia and React
Tools π
- Netclode: A self-hosted personal coding agent with sandboxed sessions accessible from iOS, built with Go, SwiftUI, and Kata Containers microVMs
- fast-resume: A fuzzy finder TUI to search and resume coding agent sessions, built with Python and Textual
- hue-tui: A TUI to control Philips Hue lights, built with Go and Bubble Tea
- MacThrottle: A macOS menu bar app to know when your Mac is thermal throttling, built with SwiftUI
- matomo-to-umami: A Python tool to migrate analytics data from Matomo (MySQL) to Umami (PostgreSQL)
- trakt-cli: A CLI tool for trakt.tv in Go.
- opencode-wakatime: An Opencode plugin written in Typescript to track code activity in Wakatime
- codex-wakatime: A Codex CLI plugin written in TypeScript to track code activity in Wakatime
Home automation π‘
- teleinfo2mqtt-rs: Convert TeleInfo frames from a Linky meter's serial port to Home Assistant-compatible MQTT messages. I also built my own MQTT client for this.
Scripts πΎ
School projects π¨βπ
- Tereus: Code transpiling platform (Go, ANTLR, React with Remix, NSQ)
- firstfm-ios: iOS client for Last.fm written with Swift and SwiftUI
- Codebench: Code benchmarking platform (NestJS, React, Go workers, Firecracker microVMs)
- Soundhive: Music sharing service (NestJS, Angular, JavaFX, audio fingerprint in C++)
- palette: Extract color palette from an image with k-means and k-NN (OpenCV, sklearn, pandas, numpy)
DevOps π
Docs βοΈ
π The languages I use
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