I’m a car enthusiast/product designer and I hate dealing with car dealers. Lately I’ve been shopping for a weekend car and dealers have been a nightmare. I built a tool that plugs in multiple listings and APIs from all across the US and added an intelligence layer to it courtesy of my ML friend. Link: drivebright.ai Get negotiation analyses based on whether the car you’re looking for is over/under supplied Programmatic recommendation of a realistic counter-offer based on asking price and market data If you don’t know what you’re looking for take the quiz, it’ll guide you through to your options, and will generate a top 3 based on your driving taste/preference I also use market data for true maintenance and financing costs Open to feature ideas/feedback! My ultimate goal is being able to find a car, run the report, and send an offer to a dealer that gets accepted so that you only visit a physical location to pick up the car. Knows issues so far: It doesn’t list cars older than 2010ish, not sure who offers a good API for classics but need to look into it Latency with generating recommendations can be a little long, I’m using OpenAI for some query processing, and need to see if I can optimize the output when it comes in as natural language entries. I’m trying to balance it with not making the user fill out 10 different input fields   submitted by   /u/skibidi_spongebob [link]   [comments]