Selected work

AI-assisted car buying

CarCompare

An AI-enabled buying assistant that turns a vehicle listing into a clearer view of price, risk and market value.

Platforms
Responsive web · AI-enabled workflow
Services
Idea validation · Product design
Role
Zero-to-one product partner
Verification
Owner review pending
A deep blue family car beside an abstract AI valuation report

The listing had plenty of data. The buyer still did not have an answer.

Used-car marketplaces are built to help people find vehicles, not decide whether one specific vehicle is a sound purchase. A polished listing can still hide an inflated price, a weak service history or model-specific risks the buyer does not know to ask about.

CarCompare starts with the behaviour buyers already have: copying a link from mobile.de or AutoScout24. From there, the product translates a dense listing into a clearer assessment of price, risk and market value.

The product idea is not more information. It is a second opinion at the moment of commitment—surfacing likely defects, missing evidence, ownership costs and market context in language a buyer can act on.

Explore the live product

Finding the useful product inside the complex problem.

A used-car listing contains plenty of information but rarely answers the buyer’s actual question: is this specific car a confident decision at this price? The experience needs to turn a pasted listing into an understandable assessment.

Clarity before complexity.

  1. Reduce the initial interaction to one familiar action: paste a listing link.
  2. Explain the expected analysis in buyer language—price, risks and market value.
  3. Offer a sample report so visitors can understand the product before committing.

A focused experience, built around the next decision.

The public product presents a focused AI-assisted workflow, sample analysis entry point and a confidence-led narrative for buyers evaluating listings from major marketplaces.

CarCompare wide product surface
CarCompare concept artwork representing vehicle analysis

Strategy, craft and engineering in one product team.

  • Opportunity framing and validation
  • AI-enabled product design
  • Responsive UX/UI
  • Full-stack implementation

Evidence first. No invented metrics.

The product makes a complex analysis feel approachable through a single-input journey. Accuracy, conversion and customer outcomes require owner verification before publication.

Details to confirm before production.

  • Pink Panther Labs role — owner verification needed
  • Engagement dates — owner verification needed
  • AI and application stack — owner verification needed
  • Accuracy and conversion outcomes — owner verification needed