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KAR AI

AI-powered car and accessory matcher using live European listings

The Problem

It removes the manual effort of gathering scattered listings, safety ratings, running costs and part compatibility, delivering an unbiased, data‑driven shortlist in minutes.

Overview

Kar is a web‑based service that generates a short list of cars or automotive accessories that match a user’s budget, body type, mileage and other constraints, using live market data from across Europe. After a user fills a brief form, the system queries a database of real dealer listings, Euro NCAP safety scores, fuel consumption, insurance, servicing and resale values. An internal AI model normalizes the data, compares each trim level against the constraints, and ranks the results, attaching the calculated total cost of ownership and the source listings. The same pipeline can be invoked for parts: the user supplies a component name and vehicle details, the engine matches OEM and aftermarket options, checks fitment, aggregates price and delivery windows from multiple suppliers, and returns a ranked set. All results are stored in the user’s account, allowing the shortlist, garage and history to persist across sessions without dealer bias.

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Submitted by

Nikolaos Korakianitis

Nikolaos Korakianitis

Nikolaos Korakianitis is the 17-year-old Founder & CEO of Korakianitis Automotive Research (KAR AI), an AI-driven car selection platform.

@https://twitter.com/nik_korakianitis
Launch DateComing Soon
CategoryAI Research & Analysis
PlatformWeb
Pricingfree

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KAR AI

AI-powered car and accessory matcher using live European listings

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Nikolaos Korakianitis

Meet the Maker

Nikolaos Korakianitis

Nikolaos Korakianitis is the 17-year-old Founder & CEO of Korakianitis Automotive Research (KAR AI), an AI-driven car selection platform.

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Overview

Kar is a web‑based service that generates a short list of cars or automotive accessories that match a user’s budget, body type, mileage and other constraints, using live market data from across Europe. After a user fills a brief form, the system queries a database of real dealer listings, Euro NCAP safety scores, fuel consumption, insurance, servicing and resale values. An internal AI model normalizes the data, compares each trim level against the constraints, and ranks the results, attaching the calculated total cost of ownership and the source listings. The same pipeline can be invoked for parts: the user supplies a component name and vehicle details, the engine matches OEM and aftermarket options, checks fitment, aggregates price and delivery windows from multiple suppliers, and returns a ranked set. All results are stored in the user’s account, allowing the shortlist, garage and history to persist across sessions without dealer bias.

The Vision

It removes the manual effort of gathering scattered listings, safety ratings, running costs and part compatibility, delivering an unbiased, data‑driven shortlist in minutes.