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
Revolutionize Mistral 2 vs RAG Comparisons: What Fails and How to Fix It Comparing Mistral 2, the widely adopted open-source large language model, to Retrieval-Augmented Generation (RAG) frameworks has become a common but deeply flawed practice in AI evaluation circles. This mismatch stems from a fundamental misunderstanding of what each tool is, how they interact, and what metrics actually matt
I needed to coordinate background scripts running across different machines. The obvious answer was Redis. Everyone uses Redis for this. The tutorials all use Redis. The Stack Overflow answers all say "just use Redis." So I looked at what deploying Redis would actually cost me: A running Redis server I had to maintain A broker to connect workers to it Celery or RQ on top of that Memory-based stora