From frustration to idea
After a run of disappointing test drives, hidden faults, and confusing ads, we started prototyping a tool that reads car listings the way a seasoned mechanic would: detail by detail, system by system.
Buying a used car should feel exciting, not like a gamble.
Autoscore reads the fine print, checks patterns for your exact model, and estimates likely repair costs so you can:
No sales talk. Just structured, technical context around each listing.
After a run of disappointing test drives, hidden faults, and confusing ads, we started prototyping a tool that reads car listings the way a seasoned mechanic would: detail by detail, system by system.
We launched a simple Telegram bot and early web demo. Early clients used Autoscore to avoid obvious lemons and overpriced cars. Their feedback shaped our risk summaries, repair-cost ranges, and mechanical confidence levels.
We released the full web app with instant reports, model-specific weak points, and shareable links so you can show a friend, family member, or trusted mechanic in seconds.
We expand supported marketplaces, improve service-interval logic, and refine region-aware pricing so reports match how cars age where you live.
We explain why each risk appears - no black box magic. If our AI is unsure, we say so and show what to check in person.
Autoscore is built for buyers, not sellers. We help you avoid bad cars, overpaying, and surprise repair bills.
We combine public listings, technical documentation, and real-world repair references to estimate likely costs - localized whenever possible.
Autoscore doesn't make the decision for you. It gives you the technical context you need to make it with open eyes.