Find your lost vehicles with vision and contextual AI
A lot of stolen vehicles get eventually sold on online marketplaces. Using vision and contextual AI, we periodically analyze thousands of online vehicle marketplace postings in real time to spot if your lost vehicle is up for sale and report it to you.
Even though a lot of stolen cars are not sold online, it is still refreshing to see a really impactful product and use of AI. Hope the team continues building this out to incorporate more types of stolen items and outcomes outside of just online marketplace. It would be cool to see this kind of tech be built into some internet-enabled cameras (or even dashcams) that could flag a stolen vehicle on the move. Nice work!
Looks wonderful, congrats on the launch!
Good usecase for real life. Congrats on the launch and all the best.
Excellent idea! Congrats Abi for giving life to this project and all the best to you!
Congrats on bringing to life a really imaginative (and practical) application for AI, two questions: 1. Do you think your product could be applied to other lost items, bicycle theft for example is a huge problem in London, Amsterdam and other European cities. 2. I notice the monetization play is to charge the owner, do you envisage licensing to the police or even insurance companies? Best of luck with the launch
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.