[PhotoMeh] Improve AI estimate accuracy to 90%

Hey r/SaaS, I spent the weekend building PhotoMeh, an AI-powered tool that estimates car repair costs from just a photo. As someone who's dealt with minor car damages in the past, I always found it frustrating to get estimates—running around to shops, waiting for quotes. So I thought, why not streamline that process? Here’s how it works: you upload a picture of the damage, and our AI analyzes it to give an instant estimate for repairs, complete with a detailed breakdown of costs. The goal is to provide users with a quick, hassle-free way to gauge repair expenses without the traditional wait times. We're currently in MVP stage and, honestly, it's been a rollercoaster. Our key focus has been on refining the AI’s accuracy. Early tests showed a decent estimate accuracy of about 70%, but it needs to be closer to 90% for me to feel confident launching it more widely. I'm also figuring out how to balance marketing with product development; I’ve set a revenue target for the first few months post-launch, but it’s hard to project without user feedback. Next up, I’m eager to start beta testing with real users. I’m planning a campaign to bring in a few micro-influencers from car enthusiast communities for feedback and outreach. Looking ahead, it’s all about refining the product and exploring new customer acquisition channels—local ads seem promising. I’d love your thoughts on this! What metrics should I be tracking long-term? Anyone with experience in launching AI products, what struggles did you encounter in the early stages? Thanks for reading! 🛠️