All autopsies

// STARTUP COMPARISON

QuintoAndar (2022 crisis) vs Badi

QuintoAndar (2022 crisis) failed in 2022 due to Unit Economics. Badi failed in 2022 due to Bad Timing. Different causes, different sectors, different eras — but the same simulation outcome.

METRIC🔥 QuintoAndar (2022 crisis)🔥 Badi
SectorProptechProptech
CountryBrazilSpain
Founded20132015
Died20222022
Raised$780M$30M
Peak$5.1B valuation$30M raised
Primary CauseUnit EconomicsBad Timing

// WHY EACH FAILED

🔥 QuintoAndar (2022 crisis)
Unit Economics
QuintoAndar, Brazil's leading rental marketplace, raised $780M and reached a $5.1B valuation. In 2022 Brazil's SELIC rate rose to 13.75%, increasing mortgage costs and reducing rental market fluidity. QuintoAndar laid off 300 employees, reduced marketing spend, and took a 60%+ internal valuation write-down. The company survived but at greatly reduced ambition.
// LESSON
Real estate marketplaces are macro-correlated even when they don't hold inventory. Rate rises slow transaction velocity, reduce listings, and compress take rates simultaneously. The valuation that justified your headcount was built on a specific rate environment.
🔥 Badi
Bad Timing
Badi built a Tinder-style matching app for room rentals in urban markets (Barcelona, Madrid, London, NYC). The model depended entirely on urban density — young professionals needing affordable shared housing near work. COVID emptied city centers as remote work spread. Demand for urban room rentals collapsed in 2020-2021. By the time urban density recovered, cheaper competitors (Idealista, Fotocasa, SpareRoom) had consolidated the market. Badi shut down its platform in 2022.
// LESSON
Marketplaces that depend on urban density have zero pandemic resilience. Badi needed people in cities and needed them to be price-constrained. Remote work broke both assumptions simultaneously.

// IN THE SIMULATION

QuintoAndar triggers RENTAL_MARKET_RATE_SENSITIVITY — the simulation models rental marketplaces as indirectly rate-sensitive: rising mortgage rates reduce rental supply (owners hold rather than rent) and reduce transaction velocity as the overall property market slows.

Badi triggers URBAN_DENSITY_DEPENDENCY_FAILURE — the simulation models room rental marketplaces as having zero resilience to urban exodus events. The product use case requires both people in cities AND a supply/demand imbalance.

// EXPLORE FURTHER