APR 2023, Venture planning
Thesis advisor: Allan Chochinov

De.fault is a recommendation engine built to reduce bias and broaden horizons.

What lies behind the phrase "You might also like”? Recommendation algorithms have become the beating heart part of any business, resulting in privacy trackers profiling our every online visit. The paradox of limiting our exposure to what we like is that it makes us more passive and less curious — the consequence of which is "the more you see, the smaller your world becomes."

De.fault is a recommendation engine that intentionally provides de-personalized information to broaden our perspectives and to counteract filter bubbles, ideological rigidity, social anxiety, and increasingly addictive and toxic content. Acting as a talkative friend, De.fault shares the underlying stories and diverse views around the content we view online — enriching the "default" lenses in each of our lives.

* The presentation below includes the full plan of De.fault as a venture business.

Design System

The branding focuses on the delightful nostalgia of the old internet by taking its visuals from pixel graphics, bold R·G·B colors, and explorations in digital typefaces.

Yoon Bee Baek 2024