I took a deadlift video from r/formcheck, fed it to a Python script, and got back prioritized coaching cues. All running locally on my laptop. No cloud APIs, no subscriptions. Just MediaPipe for pose estimation, OpenCV for frame extraction, and Qwen 3.5-9B running on llama.cpp for natural-language feedback. The Idea r/formcheck is a subreddit where lifters post videos of their sets and ask for feedback. You film your deadlift, upload it, and wait for someone (hopefully qualified) to tell you what to fix. The problem is that feedback is inconsistent, slow, and often contradictory. [read more]

What if you could search for salaries not by exact keywords, but by describing a job in natural language? “Senior developer in Brussels with a company car” or “nurse working in Antwerp” — and get relevant results based on semantic similarity rather than string matching. This is exactly what I built with BeSalary: an AI-powered salary search engine that extracts structured data from Reddit posts using local LLMs and enables semantic search through vector embeddings. You can try it live at besalary-wine.vercel.app. [read more]

I got the question from a client who was making frames for medal with a cnc machine if we could determine the dimensions of a medal from a simple picture. Today the client has to request the physical medals being mailed to him in order to be able to create the digital model that can be consumed by his CNC machine. iOS 12 comes these days with the Measure app that uses augmented reality to provide dimension information on objects that are being scanned with the camera. [read more]