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Products that do what I made a Raspberry with Qwen my local car AI does
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…
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Aug 2026 · github.com
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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…
2012
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Hi HN, we’re Sai and Aayush, and we’re building Hypercubic (https://www.hypercubic.ai/), bringing AI tools to the mainframe and COBOL world. (We did a Launch HN last year: https://news.ycombinator.com/item?id=45877517.) Today we’re launching Hopper, an agentic development environment for mainframes. You can download it here: https://www.hypercubic.ai/hopper, and you can also request access and immediately get a mainframe user account to play with. There's also a video runthrough at https://www.youtube.com/watch?v=q81L5DcfBvE.…
May 2026 · hypercubic.ai
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Hi I'm Dan from Elodin, making an open source real-time capable flight software simulation. For AI Grand Prix contestants, the wait for the Round 1 virtual qualifier simulation has been grueling. If you’re competing, check out our simulation harness to tide you over, built to match the published competition constraints and message format. It runs against real Betaflight, which we learned requires at least 1000 sensor samples per second to run real-time correctly. The competition warranted introducing a new feature to generate the camera sensor directly in the simulation loop. Typically…
May 2026 · elodin.systems
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Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…
Jul 2026 · oodle.ai
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Hey HN, We built AutoAI – an AI tool that tells you what's wrong with your car in plain English. Just enter: Your car’s make/model/year The OBD2 error codes (optional) (like P0420, P0171, etc.) Any symptoms you're noticing (e.g. “rough idle” or “weird sound when starting”) And we’ll tell you: The most likely issue How to verify it yourself Whether it’s a DIY fix or shop-worthy No more endless Googling or forum-hopping. Built for car owners, tinkerers, and pros who want fast, reliable answers. Powered by a repair-trained AI using real-world automotive data. We’re trying to make…
2025 · autoai.help
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Drive more, Spend less. We make your car more reliable
May 2026 · carmy.ai
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Qwen 3.5 Small dropped two days ago. I had it running on a mid-tier Android phone within hours. It's great seeing the on-device AI community light up around this release. Off Grid brings it to Android: phones with 6GB RAM in the $200-300 range, ~8 tok/sec on the 2B model. Fully offline. Text generation, vision AI, image gen, voice transcription, tool calling, document analysis — all on-device, nothing uploaded, ever. Works in airplane mode. 780+ GitHub stars. ~2,000 downloads across Android and iOS. Early days. GitHub:…
Mar 2026 · github.com
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https://github.com/jrcichra/smartcar Hey HN, This is my first microservices project. It's designed to be an extendable platform for collecting data about your car (and acting on it). It uses a "centralized pub/sub" message queue system I developed. This was designed for a Raspberry Pi, but has support for x86 (minus the RPi specific containers) I use Redis to manage the state of the car. The microservices currently communicate with TCP JSON payloads. In its current state, it can record dashcam footage and download it when you get home. Let me know what you think!
2019
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Jul 2026 · github.com
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