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Products that do what We developed an AI tool to diagnose car problems does

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…

  1. 1

    Instant AI diagnosis for your car

    2024

  2. 2

    Open-source monitoring for machine learning models

    2021

  3. 3

    AI-first recommendations system for automakers & dealerships

    2017

  4. 4

    AI reviews your code

    2022

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    Curated content & bot updates about your favorite cars

    2016

  6. 6

    See what breaks your AI agent and fix it automatically

    Jan 2026

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    Your AI co-pilot for buying used cars confidently

    Jan 2026

  8. 8

    Introducing intelligence for your car.

    2014

  9. 9

    Check if your text sounds human

    2025

  10. 10AA

    2022 · autopredict.co.uk

  11. 11TO

    Hey Hackernews! We’ve launched our new AI-powered report builder and we’re eager to get feedback. We set this up with some demo retail data, but this can plug into any SQL database to provide customer reporting through natural language. I’ve seen this type of feature demo well on other platforms, but never actually work, so we’re putting this out into the world for anyone to actually try themselves. We’re leveraging OpenAI under the hood and have made a ton of improvements to the prompt engineering to configure the reports (OpenAI doesn’t actually write the underlying SQL). Click into a…

    2025 · custom.explo.co

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    Your AI tools. Found. Fixed. For your business.

    Dec 2025

  13. 13IB

    I’ve spent the last 2.5 months building a product that runs LLM-powered code reviews on my pull requests — and I just launched it. The tool is built specifically for solo developers. You install it on your repo, trigger a scan by creating a pull request, and it leaves structured review comments using OpenAI under the hood. Funnily enough, I used the dev version of this app to review its own pull requests while building it. It helped me spot bugs, simplify structure, and keep quality high — all with minimal need for another human in the loop. Things I want to try out in the next months : -…

    2025 · codii.dev

  14. 14DA

    Hi HN, we’re Rohan and Michael from Decipher (https://prod.getdecipher.com/docs) and we’re working on an AI-powered error monitoring tool that helps engineers quickly understand what went wrong, the user impact, and how to fix it. It’s an alternative to tools like Sentry and BugSnag. We noticed that when there’s an application error it often takes too much time to figure out which issues are important and how to fix them. Because the overhead is too high, people (including us…) sometimes just pay attention to bugs that come directly from a user complaint. We were initially…

    2024 · decipherai.mintlify.app

  15. 15BY

    Hey HN - We're building wispbit (https://wispbit.com/) - a tool that lets you build your own AI code reviewer. We built this because we worked in big and complex codebases where we kept hitting booby traps - often the same ones. People forgot things, or quit altogether, amplifying the problem. We looked for other ways to fix this, but the solution is usually a combination of: - Writing a linter rule - too difficult and time consuming. - Writing docs and having frequent meetings on alignment - basically a full time job. - Using plug and play code reviewers - too generic and…

    2025

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    The second opinion you take to the garage

    25d ago · torqueback.co.uk

  17. 17AC

    I put together a directory of agentic coding tools & things like autonomous app builders, CLI agents, VSCode copilots, and multi-agent dev platforms. Most of these tools can plan, scaffold, and write code with minimal input. Some are polished, some experimental. I wanted a way to compare them all in one place. You can filter by autonomy level, LLMs used, pricing, open source, etc. It’s a compact UI—works on mobile, has dark mode, and no signups or fluff. Would love feedback: Are there tools I’ve missed? Anything that should be organized differently? Info you wish was included? Cheers.

    2025 · aisnoop.org

  18. 18OS

    Hey HN! We built EvalKit, a library you embed to capture agent actions and a UI where domain experts give feedback, evaluate and improve AI agents. We experienced, in large agentic systems, prompt-engineering or auto-prompt improvement tool can get accuracy from 0 to 50% but for increasing accuracy to 100% we had to work with domain experts. Example -> In a law ai agent, lawyers are needed because law is complex and lawyers have a deeper context compared to non-lawyers. Other evaluation tools in the market focus on the experience of the developer and we are focusing on making as easy as…

    2025 · github.com

  19. 198S

    We made a dumb terminal for AI! Type \ to see commands you can use.

    2025 · vt320.odai.chat

  20. 20TT

    Hey HN, this is deepan from trulytyped (https://trulytyped.com). I am building a document writing app which makes it extremely easy to figure out how a document was created. Now that any text can be AI generated, how do you tell if something was actually generated or composed. It is impossible to detect AI after a piece of text has been generated. No amount of watermarking, linguistic checks or vibe checks work consistently. The AI detectors that schools and journals use are easy to bypass. Why do we need to solve this problem - First of all, this is not an anti-AI stance. I have…

    May 2026 · trulytyped.com

  21. 21MA

    Hi HN, I'm a solo developer learning to code, and I'd love to share my second real project: MapMyLearn, an AI-powered app that automatically generates personalized learning paths based on any topic you input. What it does: Takes a topic (e.g. "history of capitalism", "learn Rust", or "data storytelling") Uses AI to break it down into a structured course with modules and submodules Each submodule includes: - Detailed, pedagogical content (developed based on online sources to mitigate hallucinations) - A quiz of 10 questions - Recommended resources - An AI chatbot for Q&A - Optional audio…

    2025

  22. 22KT

    Hi HN! I built this tool, because Large Language Models are hallucinating their asses off and I wanted to test just how bad it is with a topic I know best - myself. I'm sure there are other egos out there who google themselves and essentially this is the new googling yourself. It's early beta, so lots of room for improvement of course.

    2023 · haveibeenencoded.com

  23. 23IB

    Hey everyone! I'm Alex, the co-founder of Excel Dashboard Ai. I’m excited to share our AI tool that turns your Excel data into awesome dashboards and detailed reports. Think visualized charts, diverse analysis angles, and almost 10,000 words of AI-driven insights—all in one place. Say goodbye to endless hours of data analysis and report writing. ExcelDashboard is here to boost your productivity! Why did we build this? Back in my previous company, we were constantly asked for data-driven insights and long reports. This process was a huge time drain. I used to joke, "Wouldn't it be great if…

    2024 · exceldashboard.ai

  24. 24IA

    Hello HN! My name is Max, and I’m a co-founder at Lynx (https://uselynx.ai). We’re building an AI-powered incident resolution platform to help engineers debug and resolve on-call issues faster. If you’ve ever been paged in the middle of the night and had to spend hours piecing together logs, metrics, and code, we’d love your feedback. * The Problem * On-call hasn’t kept pace with modern engineering. Even with great observability tools, diagnosing incidents is slow because: - Systems are increasingly complex. - Logs, dashboards, and documentation are scattered. - Context often…

    2025

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