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
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
Building AI calling agents shouldn't require a commercial license or massive per-minute markups. If you are a Python developer, you should be able to spin up a sub-500ms latency voice agent on your own machine. Prerequisites Python 3.10+ A Twilio or Telnyx SIP Trunk LiveKit Credentials An OpenAI API Key First, clone the Siphon repository and install the requirements. pip install siphon-ai Next, c