Show HN: Cardog – AI interface for vehicle ownership | Hacker News Reader

Show HN: Cardog – AI interface for vehicle ownership

cardog.ai

4 pointssamsullivan6 comments

Hi HN! I wanted to share something I've been working on after an interesting pivot. Last year I built a vehicle search tool that ran into legal issues with major listing sites. That experience led me to tackle a different problem - making the entire car ownership experience more accessible and data-driven.

Ended up building an AI interface that helps research any vehicle, access documentation, and manage ownership - think having a car expert, market analyst, and personal assistant rolled into one. Core features:

- Natural language interface to research any vehicle, parse manuals, and search relevant web/YouTube content (think perplexity for cars) - Monitor market values and listings across North America - Track maintenance, service records, registration dates for your garage - Store ownership documents, recall info, service bulletins

Live demo: https://cardog.ai | Example: Ask about reliability ratings for the latest SUVs or "What should I look for when buying a used Model 3?"

Would love to hear what aspects of car ownership you find most frustrating.

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It seems that there are currently no SUVs available for under $45,000 in your area (Toronto, ON) within a 50 km radius.

If you're open to expanding your search criteria, such as increasing the price range or considering different body styles, please let me know, and I can assist you further!

Great first impression with design but you lost me after 1 search

Hey, is not accesible :

500: INTERNAL_SERVER_ERROR Code: MIDDLEWARE_INVOCATION_FAILED ID: cdg1::c6j9r-1740442231005-18f5698b5887

Could you ask what legal issues you had with other listings? As far as I know, scraping publicly available information is legal. I want to develop something similar for another category. Thanks!

this feels like a feature of claude.ai or chat.deepseek.com not a stand alone product. I can already get what you are selling for "premium" for free with deepseek search toggle.

The LLM interface isn't the main feature - it's the combination of vehicle-specific data sources and tools:

Vehicle maintenance history aggregation Automatic quote retrieval from sellers Registration/insurance document management Market value tracking across North America VIN-specific recall and service bulletin monitoring Manual parsing and model-specific guidance

The LLM makes this data accessible, but the value is in having everything about your vehicle centralized and contextualized. Claude/Deepseek can give general car advice, but they can't track your specific vehicle's history or provide personalized maintenance alerts.

Would you find value in having all your vehicle's data and documents in one place?

well I'm not looking to buy a car. But even if I was I'd be happy searching with deepseek reason + search and ask questions with "include VIN-specific recall and service bulletin monitoring data". That for free is very hard to complete with. Your data comes from the open web?

Cardog guides users through the complete vehicle ownership cycle. Start by researching models using our comprehensive specs database, owner reviews, and curated video content. When ready to buy, analyze real-time listings from sellers across North America, with data organized by exact trim and feature configurations.

After purchase, the garage becomes your ownership hub - tracking maintenance, storing documents, and monitoring market values. Get proactive alerts for service needs, recalls, and registration renewals. When it's time to sell, use historical price data to time the market and determine optimal listing price.

Unlike search engines providing scattered information, Cardog unifies vehicle data with practical ownership tools. Whether you're researching your next car or managing your current one, everything stays organized and updated automatically. The AI interface makes this comprehensive dataset accessible, while the garage helps track your vehicles through their entire lifecycle.

Each phase feeds into the next: research informs purchase decisions, purchase details populate your garage, and garage history helps optimize your eventual sale - creating a seamless ownership experience.

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