Carmy AI is here for car owners
Drive more, Spend less. We make your car more reliable
Carmy AI is here for car owners launched on May 21, 2026 with 1 votes.
What it does
We help car owners fix, troubleshoot, maintain, and understand exactly what happened to their car with clear next step and follow up messages. You can just upload a picture and let it analyze it for you. This not a regular AI, it's bringing data directly from your car's manufacturer, so you don't have to google stuff or guess anything. Also, it speaks many languages, and you don't need to have any experience to use it.
Diagnose car problems in minutes with Carmy AI. Get likely causes, repair cost estimates, and step-by-step DIY instructions for your exact vehicle — free to start.
Carmy AI analyzes your car's symptoms and tells you what's likely wrong, how much it could cost, and guides you to fix itfrom carmy.ai
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I made a Raspberry with Qwen my local car AIAug 2026 · github.com · ▲146Found 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…


- WDWe developed an AI tool to diagnose car problems2025 · autoai.help · ▲5
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…


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Hey HN, Henry here from Cactus. We open-sourced Needle, a 26M parameter function-calling (tool use) model. It runs at 6000 tok/s prefill and 1200 tok/s decode on consumer devices. We were always frustrated by the little effort made towards building agentic models that run on budget phones, so we conducted investigations that led to an observation: agentic experiences are built upon tool calling, and massive models are overkill for it. Tool calling is fundamentally retrieval-and-assembly (match query to tool name, extract argument values, emit JSON), not reasoning. Cross-attention…
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