u/andy2na

I've been hoarding my Tesla Solar/Powerwall data the last 3 years without ever utilizing the data in any meaningful way. With all the useful MCP servers coming out for things like Teslamate, Home Assistant, Portainer, etc, I was surprised there wasnt one for Powerwall Dashboard.

I had my Hermes Agent create a MCP server for me and I dockerized it for others to use. Yes, AI helped create this, so use it at your own risk.

Examples of questions (What is my current solar ROI, was cleaning my panels worth it? etc) and responses can be found on the git:

https://github.com/ampersandru/powerwall-dashboard-mcp

I've been holding off on upgrading my roborock s7 maxv ultra to a robovac with a roller mop and that costco sells. It seems that the Aqua 10 will be the first roller mop at costco: https://www.costco.com/p/-/dreame-aqua10-roller-robot-vacuum-with-aquaroll-mopping-and-30000-pa-suction-power/4201023126?sp=lws&langId=-1&preselect=color%3Ablack

I was looking around for reviews and it seems that early units had a bad leaking, nav issues, etc - has this all been fixed yet? If not, Id be surprised for them to push this to Costco

Thanks to July 4th shenanigans, a firework came flying down into my backyard last night, caused an explosion and started a fire. Luckily the fire department and I were able to put it out before it spread.

Was wondering if we can add "fire" and "smoke" detection to frigate? I potentially wouldn't have noticed this if someone didnt come to my door and things couldve been much, much worse...

Created separate private API keys for each service within LiteLLM and started logging the usage via Prometheus to view in Grafana. Surprised the Frigate GenAI summaries tokens quickly add up!

This view is only the past 6 hours.

Google just released Gemma4 in E2B, E4B, 26B-A4B, and 31B and its looking good. One feature is that the small (E2B and E4B) now supports video and audio input. Once our inference engine (llama.cpp) supports audio/video input, can Frigate utilize this feature, or will it need to be implemented for GenAI review summaries (i.e. for Audio Speech Recognition (ASR))

https://unsloth.ai/docs/models/gemma-4

https://huggingface.co/google/gemma-4-E4B

Has anyone tested Gemma4 A4B compared to Qwen3.5-9b for Frigate daily usage? Which are you liking better?

>All models support image inputs and can process videos as frames whereas the E2B and E4B models also support audio inputs. Audio supports a maximum length of 30 seconds. Video supports a maximum of 60 seconds assuming the images are processed at one frame per second.