The Idea After deciding to build an iOS app using AI, the first thing I set out to create was a metronome app designed for dark stage environments. Back in college, I played drums — and while that was a while ago, there weren’t many metronome apps that felt both clean and professional. (Turns out, that’s still true today.) That’s what led me to the idea: a simple, black-and-white metronome where
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
For the longest time, I was the classic "builder who doesn't ship content." I'd ship features, take notes, have insights... but turning them into consistent posts on X, LinkedIn, or Threads? That part always felt like a chore. The context switching, reformatting, trying to sound natural on every platform — it killed my momentum. So I built Elevenwritt. You paste anything: A rough idea Meeting note
My scrapers run on PythonAnywhere. My phone runs Termux. I wanted them to talk to each other. The standard options all had the same problem: they required infrastructure I didn't want to maintain. Firebase — cloud lock-in, SDK overhead, costs money at scale Ngrok — exposes a port on my phone, dies when the tunnel resets A VPS with Redis — another server to maintain, SSH into, keep alive Webhook to
Before you train a model, you need data in the right format. This took me longer than I expected and taught me a lot about how LLMs actually learn. I used MedQA USMLE — real medical licensing exam questions used to certify doctors in the US. It's available on HuggingFace for free. from datasets import load_dataset dataset = load_dataset("GBaker/MedQA-USMLE-4-options") Each sample looks like this:
Series: How Machines Learn: A Complete Guide from Zero to AI Engineer Phase 6: Machine Learning (The Core) You've been hearing "machine learning" for years now. Your phone uses it. Netflix uses it. Your spam filter uses it. Every tech company puts it in their job posts. And yet, if someone asked you right now to explain what machine learning actually is in plain words, you might freeze up a little
Hey Dev Community, Like many of you, I hit a wall with GA4. It’s powerful, sure—but it’s also cluttered, slow, and often feels like it was designed for a data scientist rather than a developer or a brand owner who just needs to see what’s working. I wanted something different. I wanted a platform that felt like a developer tool: minimalist, tech-oriented, and focused on actual insight rather than
The 3 AM Nightmare Last week, I let an AI agent run loose on my production server. It was fine — until 3 AM. To interact with the agent, a user must first authenticate across Gmail, a support desk, and a payment platform — all before the agent takes its first action. Permission denied. Permission denied. Permission denied. Three different connectors. Three different auth systems. One very tired