# Week 36, 2025

> Markdown version of https://brajeshwar.com/2025/week36/ — 2025-09-07

[Fanaka](https://fanaka.readthedocs.io) is  handbook for African success in the international software industry. It is focused on helping African tech workers work successfully in international tech companies. However, this should be applicable to other regions of the world for those early professionals or even while they are in colleges.

[Frame0](https://frame0.app/) Make hand-drawn style wireframes quickly and easily.

[FUTO](https://www.futo.org/) is an organization dedicated to developing, both through in-house engineering and investment, technologies that frustrate centralization and industry consolidation.

[FCast](https://fcast.org) is an [open-source](https://gitlab.futo.org/videostreaming/fcast/) media caster for all OSes.

[Free Public APIs](https://www.freepublicapis.com) tested everyday.

[Fably](https://stefanom.github.io/fably/) is an [open-source](https://github.com/stefanom/fably) setup that tells bedtime stories to kids.

[Octarine](https://octarine.app) is a fast, lightweight tool for writing, planning, and organizing — in Markdown that stays yours. Octarine overlaps with [Obsidian](https://obsidian.md), but follows different methodologies about having less but baked in features, over an extensible plugin system.

[LandChad](https://landchad.net) is a site dedicated to turning internet peasants into Internet Landlords by showing them how to setup websites, email servers, chat servers and everything in between.

[UnsuckJS](https://unsuckjs.com) is a list of JavaScript libraries to Enhance HTML with lightweight JavaScript (or CSS) libraries.

[Apertus](https://www.swiss-ai.org/apertus) is a fully open, transparent, multilingual language model.

EPFL, ETH Zurich and the Swiss National Supercomputing Centre (CSCS) released [Apertus](https://www.swiss-ai.org/apertus), Switzerland’s first large-scale, open, multilingual language model — a milestone in generative AI for transparency and diversity.

An beautiful [LLM Visualization](https://bbycroft.net/llm) - walkthrough of the GPT large language model exploring the model nano-gpt, with a mere 85,000 parameters.
