I built an AI agent that snipes underbidded cars from auctions in real time. It scans 150K+ cars weekly using data from 5 successful local dealerships to pick winners, order parts, and send them to my mechanic. I just pick it up, wash it, and post it to flip for profit.
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@Signalman23 really cool but probably among the lowest return on effort that you can do building with AI, which is pretty crazy if you think about
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@carlothinks The car dealers using it would disagree. It runs nonstop, automates their pipeline, and delivers 133% ROI per flip on average.
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@Signalman23 Signal coming through with more tech. We need to talk about this one brother. My dad has been buying salvage cars(with minimal damage) and rebuilding them to sell for years. Can this be used on https://t.co/7rDL5h7bjB? Insurance auto auctions. It’s where he bids most of his
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@Skifeman It’s great business jump in fam. The current agent is built around Copart, but if IAA provides a list of upcoming cars, it can adapt, clone taste, generate a watchlist, and automate the rest. Long term, a good move would be to aggregate all auctions into one unified system.
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@Signalman23 interesting idea, but don't you need to do a physical inspection of the car to determine what kind of repairs it actually needs?
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@codebysal Most auctions are online, and with yards spread across the country, physical inspections usually aren’t practical. My system uses computer vision to analyze photos, estimate parts, and automate everything with optional human review.
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@Signalman23 You could do this with a scrapper why do you need agentic workflow? It seems like a deterministic workflow
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