Alternatives
Products that do what MQTT Alive Daemon – Report Custom Command Results to Home Assistant does
I've just released MQTT Alive Daemon v0.2.0, a lightweight go daemon for integrating computer status and custom commands with Home Assistant via MQTT. I built this because I wanted to know when my computers were on and I was at my desk, and existing solutions weren't responsive enough or were too resource-intensive. Key features: * Reports when the PC is on * Reports the result of any custom command * Seamless integration with Home Assistant * Support for launchd and systemd (new in v0.2.0) In my setup, it's helped me save energy by automatically managing 3 speakers, a mixer, a monitor,…
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Hello Hacker News, My co-founder and I have spent the better part of years developing a completely hackable Home Automation toolset that runs on a Raspberry Pi, or any machine running Linux. With just a Raspberry Pi and a $45 Z-Wave dongle (https://www.amazon.com/Aeotec-Z-Stick-Z-Wave-create-gateway/...), you can run a complete home automation system! Our hub will support any Z-Wave or Z-Wave plus device. We are cloud hosted service that doesn't require you to purchase any proprietary hardware. Our hub software runs on NodeJS and is completely open source. We encourage…
2018
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Hi HN we are Andrew and Dex. We built dialtone watcher, a small Go agent for macOS and Linux with a very specific goal: tell me what my machine is doing all day and help me compare that with others. What it does so far: - Watches running processes, CPU and memory use, and active network endpoints. - Groups traffic into human sized summaries by process, domain, and coarse protocol like HTTPS, DNS, QUIC, and Postgres. - Stores a local summary and can post bounded rollups to the dialtoneapp.com api so enough installs can turn the fleet view into something real. We kept circling the same…
Mar 2026
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Intended for 10-year (plus hopefully) deployment lifetime on $10-30 of silicon. The kind of thing you screw to a wall, plug in, and walk away from for a decade. No telemetry, no phone-home updates, no external dependencies. Storage decisions get a sanity checked against NVS wear... a write-per-PUBLISH would shred the flash in months, so the retained store and in tables that stay in PSRAM. Its heavily written with AI and borrowed a lot of visuals from Tasmota. Not for production use yet (been currently running it for a month with great results!)
Jun 2026 · github.com
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LLM observability is an absolute must-have for anyone running something in prod (or prod-like). While all the observability startups are great, you're essentially sending all your OpenAI usage history - prompts, generations, chats - to a random third party. So this script deploys a basic proxy in your Azure account, catches all incoming OpenAI requests, stores logs in your own resource group, and comes with visualizations premade (charts, timelines, chat history, cost estimation, etc). Thanks for any thoughts and feedback!
2023 · github.com
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Hey HN! I've been using RabbitMQ for about 10 years now, and while the web UI is handy, I've always found the experience frustrating. We all used to share scripts that would add JSON formatting and other small details to make it more practical. At some point, I even tried proposing improvements or a revamp of the UI on the RabbitMQ Slack. The answer I got was "don't fix what is not broken", which in hindsight was obviously the right one. So I took a different route and built the tool I wished existed: a desktop IDE for RabbitMQ. The key features I started with are: - Multi-connection support…
2025 · rabbitgui.com
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I vibe-coded a terminal tool called Pluqqy (I had a dormant domain on hand) to help me keep LLM context organized while coding with AI. It’s my first time writing Go and my first terminal app, built almost entirely with Claude Code. • What it does: Pluqqy lets you manage prompts, rules, and context as small building blocks, then stitch them together into a single file (like AGENT.md or CLAUDE.md) that your coding agent can consume. It’s meant to reduce context drift and make iteration easier. • Why I built it: I was losing track of my agent context between sessions and wanted something…
Oct 2025 · github.com
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Hi HN. This is a script I have been using for some time for coding tasks, which I have polished a bit and published. The motivation behind this script was to have an agent with persistent session which I can use from the shell like a regular command. It _can_ also be scripted, although I don't use it in such a way. The script uses a minimal prompt, which just tells it to use standard unix tools to do everything. I was surprised at how well it worked, when using a good model. Qwen3-coder is on openrouter, and it works well with the minimal instructions. I also tested qwen2.5-coder with ollama…
2025 · github.com
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Automate MQTT, BLE & REST APIs with visual flows in Android
Jul 2026 · mqttfy.com
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I've talked about this one on Reddit a bit, and I think it's finally about ready to talk about here. I started this project around 2013 for internal use, and GPL licensed it because I have no desire to own my own software business. Kaithem is, for the most part, somewhere between a SCADA and a Home Assistant clone, heavily focused on easy deployment with minimal tinkering. It allows for Python code based if-then events you edit via the web, along with web-editable HTML dashboards, but also includes loadable modules for more point-and-click style editing. One of these is Chandler, a…
2022 · github.com
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We kept hitting the same wall building voice AI systems. Pipecat and LiveKit are great projects, genuinely. But getting it to production took us weeks of plumbing - wiring things together, handling barge-ins, setting up telephony, Knowledge base, tool calls, handling barge in etc. And every time we needed to tweak agent behavior, you were back in the code and redeploying. We just wanted to change a prompt and test it in 30 seconds. Thats why Vapi retell etc exist. So we wrote the entire code and open sourced it as a Visual drag-and-drop for voice agents ( same as vapi or n8n for voice).…
Mar 2026 · github.com
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I built a demo of a voice AI task manager. You speak naturally and it updates your visible task list in real time. Try it here, no sign up: https://taskmaster.keithschacht.com I find it useful to talk aloud to figure out priorities. With this, I can just ramble, “Mark that first task as done. Actually undo that. Add a task to proofread it. Move that to the top…” It’s built on LiveKit with a Rails web UI. It listens continuously, maps speech to tool calls, and keeps full task-list state so it understands vague references like “the third item” or “the one with my kids.” Voice feels…
Dec 2025 · taskmaster.keithschacht.com
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