14 Oct 2025 3 min read

The Open Source Ward Weekly (14 October 2025)

Github Trendings:

Nanochat - Train your own LLM for 100 bucks

Train your own ChatGPT for just $100 or with only 8 H100 GPUs in under four hours. This repository provides a full-stack implementation of an LLM similar to ChatGPT, all within a single codebase. NanoChat is designed to run on a single 8×H100 node using scripts that handle the entire pipeline including tokenization, pretraining, fine-tuning, evaluation, inference, and web serving through a simple UI that lets you interact with your own LLM just like ChatGPT.

While the practical applications of such a repository may be limited, it offers tremendous educational value for anyone interested in exploring how large language models are implemented in practice.

Daytona - Secure and elastic infrastructure for running AI-Generated code

This can be considered a commercial product, as you’ll need an API key for the code to work. Nonetheless, it’s a really cool sandbox management tool that enables fast and efficient testing of messy or potentially hazardous code generated by your AI copilot.

Winboat - Run Windows apps on Linux

WinBoat is an Electron app that allows you to run Windows applications on Linux using a containerized approach. The code includes a dedicated data transfer module that forwards the necessary data from the virtual machine to your local system.

devpush - Like Vercel, but open source and for all languages

An open-source and self-hostable alternative to Vercel, Render, Netlify and the likes. It allows you to build and deploy any app (Python, Node.js, PHP, ...) with zero-downtime updates, real-time logs, team management, customizable environments and domains, etc.

Mole - A mac cleaner

A Mac file cleaner installable via Homebrew. Handy to run occasionally to keep things clean.

In the news:

How I made over $300K from a simple open-source side project using dual licensing.

In the last three years, I made over $300K from a simple JavaScript library called lightGallery using dual licensing. Here is everything you need to know about monetizing your open-source project using dual licensing.

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