I made a Raspberry with Qwen my local car AI
Found that you can actually run a 35B Qwen model on a Pi with very impressive intelligence and stability. Built connectors for car ODB to read all about car internals, and manufacturer's cloud service for stuff like changing AC or opening/ locking doors. Gave it info such as the full car manual. And then hooked it up with my other agents in our discussion room! So now it can answer car questions such as "when should I add oil and what kind of oil?" and help you fully offline, and when online talk with the agent family that includes all the most powerful models so they know how the car…
I made a Raspberry with Qwen my local car AI launched on August 25, 2026 with 146 votes, #215 of 23,274 launches that month and more than 95% of that year's launches.
In plain words
CarWatch runs a 35B Qwen language model on a Raspberry Pi 5 to create an AI assistant for vehicle maintenance and diagnostics. It connects to a car's ODB system to read internal data and integrates with manufacturer cloud services for remote functions like climate control and door locks. Users can ask the AI maintenance questions offline using the car manual as reference, or connect it online to collaborate with other AI agents for advanced problem-solving and planning.
written from the facts on this page · September 2026
From the sources
Your car as a chat-room agent: Raspberry Pi 5 + dashcam + local AI. CodeWatch's sibling for the garage. - ThinkOffApp/CarWatch
In the maker’s words, at launch
Found that you can actually run a 35B Qwen model on a Pi with very impressive intelligence and stability. Built connectors for car ODB to read all about car internals, and manufacturer's cloud service for stuff like changing AC or opening/ locking doors. Gave it info such as the full car manual. And then hooked…
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Opper AIJul 2026 · opper.ai · ▲229Hey HN! After the Car Wash Test post got quite a big discussion going (400+ comments, https://news.ycombinator.com/item?id=47128138), I spent the past few weeks building a tool so anyone can run these kinds of questions and get structured results. No signup and free to use. You type a question, define answer options, pick up to 50 models at a time from a pool of 200+, and they all answer independently under identical conditions. No system prompt, structured output, same setup for every model. You can also run a debate round where models see each other's reasoning and get a…
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I am not sure if this is fits the HN community, but I am posting it here if people are interested. This is the current iteration of the car: http://i.imgur.com/ko8YBh.jpg Details: I wrote a simple android app that streams the accelerometer data from the phone to the pi over a simple socket. The pi then uses this data to drive the DC motor and the servo motor. Tilting the phone to control the car feels very natural. In this[0] pic you can see the wifi dongle I've used. I am using Adafruit Occidental v0.2[1] as my OS because it has support for my wifi dongle. It also makes some hardware…
Axis OneNov 2025 · axis-one-psi.vercel.app · ▲78I’ve been building a small hardware box that runs local LLMs like Mistral, Qwen and Llama, and exposes an OpenAI compatible API on your local network. There’s no cloud, no login system and no telemetry. I built it because a lot of small firms want ChatGPTbstyle tools but can’t use cloud AI for privacy or compliance reasons, and most don’t want to deal with GPU servers, drivers, Docker or model configs. The aim is to make local AI feel as simple as plugging in a router. Right now the box boots into a very simple web UI where you choose a model and start using it. The API follows the OpenAI…
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Source: Show HN post ↗ · launch text quoted in part
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