A few weeks ago, Audacity 4.0.0 started crashing on my Windows machine.

Not occasionally. Not after doing something weird inside the application.

It crashed every single time I launched it while my Philips TAH6509 Bluetooth headset was connected.

Turn the headset off, Audacity starts normally.

Turn it on, launch Audacity, wait a few seconds, crash.

That was enough to make me curious.

Instead of just working around the problem, I decided to find out what was actually happening.

Running LLM locally with Ollama: migrating my Job Finder project

More than one year ago I built a simple project to start studying AI.

At the time, I integrated it with the OpenAI API. It worked well, but over time I started to feel the usual friction: cost per request, dependency on external services, and limited control over the runtime.

Today, I migrated this project to run using a local LLM.

Faz um tempinho que eu não me sentia tão bem usando uma ferramenta quanto agora. No trabalho, a galera usa o Postman pra quase tudo, e eu também acabava usando, mesmo achando exagerado demais pra algo tão simples quanto testes de integração com chamadas de API.

Eu sei que o Postman tem um monte de recursos. O problema é que eu nunca precisei da maioria deles. Pra mim, era como usar um canhão pra matar um mosquito.

It’s been a while since I felt this good using a tool.

At work, people use Postman for almost everything, and I ended up using it too, even though it always felt like overkill for something as simple as integration tests with API calls.

I know Postman has a ton of features. The problem is that I never needed most of them. For me, it felt like using a cannon to kill a mosquito.

Ever worried someone might peek at your MacBook when you’re not around?

Last Friday, I built a simple, effective, and open-source solution to deal with that — and I called it Say Cheese.

Here’s the idea: if someone opens your Mac’s lid without authenticating via Touch ID, a photo is instantly taken and sent to your iPhone through iMessage. You get a live snapshot of the intruder — no fuss.

Já pensou alguém abrindo seu MacBook quando você não tá por perto?

Na sexta-feira criei uma solução simples, eficaz e de código aberto pra lidar com isso — e batizei de Say Cheese.

A ideia é a seguinte: se alguém abrir a tampa do seu Mac sem autenticar com Touch ID, uma foto é tirada na hora e enviada direto pro seu iPhone, via iMessage. Você recebe a cara do curioso em tempo real. Simples assim.

Hey everyone! I just wanted to share a new pet project I’ve been working on.

I built Job Finder to automate job searches, analyze descriptions using AI, and filter the best opportunities based on personal criteria.

Job Finder is an open-source project designed to automate job searching, analyze job descriptions using AI, and filter opportunities based on predefined criteria. Initially developed as a personal study project, it demonstrates the integration of automation, AI, and data processing, but can also be useful for others looking to streamline job searches.