Marketplace Tools
Avoiding Lemons: A Data-Driven Approach to Used Car Shopping
What second-hand car buyers actually need is not more listings. They need help spotting hidden risk before wasting time and money.
The information gap in used-car listings
Used-car marketplaces are efficient at showing inventory, but they are weak at showing risk. A listing can look clean, the photos can be sharp, and the description can sound reassuring while the underlying model still carries common mechanical or platform-specific problems.
That leaves buyers doing manual research tab by tab. The friction is high, and the most inexperienced buyers are usually the ones least equipped to catch the warning signs.
What the extension adds
Sahibinden Araç Analizi is designed to shorten that research loop. When a listing page opens, the extension analyzes the visible vehicle context and overlays a panel with known chronic issues, risk level, and model-specific warnings.
The goal is not to replace an inspection. It is to help users eliminate obviously risky candidates earlier and ask better questions before they spend time traveling to see a car.
Risk needs to be legible
We use a four-level system: Kritik, Yuksek, Orta, and Dusuk. That matters because a long list of issues is not automatically useful. Buyers need a first-pass signal they can interpret quickly while browsing many listings.
The extension also reads listing copy for common red-flag phrases such as damage history or repaint signals. Those clues are often present, but buried in seller language.
A calmer buying workflow
The point of the tool is not to create fear. It is to make caution cheaper. If a buyer can see likely failure patterns early, they can compare listings more rationally and reserve detailed inspections for cars that genuinely deserve the time.
In a noisy marketplace, clearer risk visibility is often more valuable than more raw information.