Background
Lychuu marché addresses the needs of environmentally conscious Gen Z fashion enthusiasts seeking sustainable, affordable alternatives to fast fashion. While young consumers increasingly reject environmentally damaging practices, the current secondhand shopping experience—both online and in physical stores—presents significant barriers.
Other key findings
Through analysis of 10+ secondhand platforms and 100+ user interviews, we discovered that users exhibit three distinct psychological states when shopping online, each requiring different information density and presentation methods. Traditional catalog-based categorization works for standardized items but fails for clothing's variable sizes, styles, and conditions, creating overwhelming browsing experiences.
Additionally, we found that social context dramatically improves trust and engagement—people are more willing to purchase from acquaintances and enjoy the process when it feels like social sharing rather than transactional selling. Our offline market experiment validated this, with participants selling 30-40% of items, making 4-5 new connections, and achieving 98% satisfaction rates.
What's the impact?
Attracted 6,000+ participants to four pilot markets while growing social community to 8,000+ followers
Built resilient marketplace ecosystem with 100+ vendor partnerships that continues operating independently of digital platform development
Highlights
Multi-dimensional product display
An adaptive interface that responds to users' shopping mindsets through intuitive zoom interactions. Users seamlessly transition from high-density two-column grid for efficient comparison, to focused single-column browsing for detailed evaluation, to immersive short-form video discovery for entertainment-driven exploration—eliminating the need for separate browsing modes.
Circle-based social recommendations
Leveraged social homophily principle to create taste-driven product recommendations within user networks. By recognizing that social circles naturally share preferences—from vinyl collectors to vintage fashion enthusiasts—the platform delivers more relevant suggestions than traditional algorithmic approaches while building inherent trust through familiar social contexts.
AI-powered video listing
Streamlined the selling process from 15-minute manual uploads to simple 15-second video capture. AI automatically detects and populates product details including category, brand, condition, and attributes from video content, requiring only user review and price input—transforming tedious form-filling into effortless content creation.
