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Cardog – AI car companion that democratizes automotive expertise

Hacker News

Cardog – AI car companion that democratizes automotive expertise

Hey HN, I'm Sam, 22, just launched Cardog after getting frustrated with how broken car buying is. The platform gives you AI-powered research, real-time market analysis on any listing, and tracks your car's maintenance and value over time. Think of it as having an automotive expert in your pocket. Built this because the average person spends 18 hours researching cars online and still overpays by $2,000. Meanwhile dealers have access to wholesale prices, auction data, and market intelligence that buyers never see. The AI can answer questions like 'what's better for a young family, CR-V or RAV4?' with comprehensive analysis, or you can paste any car listing to see if it's fairly priced. Currently live on the app store, built the whole thing solo while at university. Happy to answer questions about the technical stack or the broader problems with automotive transparency.

Visit product View on Hacker NewsJun 23, 2025

Actual performance

1points

Did not reach leaderboard

Launch Intel predictions

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Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting

64%64% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

best fitHighest predicted score across all platforms for this description.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: 000, io · Missing: https docs, excited, just released

41%41% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

Product HuntUnlikely to reach the leaderboard · Missing: mac, agents, macos

38%38% predicted probability of success on Product Hunt, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews

32%32% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue

12%12% predicted probability of success on Acquire.com, based on ML models trained on real launch data.

BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto

0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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