All autopsies

// STARTUP COMPARISON

Auxmoney (stagnation) vs LendingClub (2016 crisis)

Auxmoney (stagnation) failed in 2020 due to Bad Timing. LendingClub (2016 crisis) failed in 2016 due to Founder Chaos. Different causes, different sectors, different eras — but the same simulation outcome.

METRIC🔥 Auxmoney (stagnation)🔥 LendingClub (2016 crisis)
SectorFintechFintech
CountryGermanyUSA
Founded20072006
Died20202016
Raised€160M$1.3B
Peak€300M annual loan volume$9B valuation
Primary CauseBad TimingFounder Chaos

// WHY EACH FAILED

🔥 Auxmoney (stagnation)
Bad Timing
Auxmoney pioneered P2P lending in Germany, raising €160M and processing €300M+ in annual loans. However, German banks's slow adoption of open banking standards (PSD2 implementation was delayed and inconsistent), combined with Germany's conservative credit culture, prevented Auxmoney from achieving the data-driven underwriting advantages that made P2P lending successful in the UK and US. Growth stagnated and the company never reached profitability.
// LESSON
Fintech models built on open banking data require open banking adoption to function. Germany's conservative banking culture and delayed PSD2 implementation created a market where data-driven credit underwriting was permanently disadvantaged versus the UK and US.
🔥 LendingClub (2016 crisis)
Founder Chaos
LendingClub CEO Renaud Laplanche resigned in May 2016 after an internal review found that $22M in loans had been sold to an investor with falsified application dates, and that Laplanche had failed to disclose a personal conflict of interest. The stock fell 50% in a single day. LendingClub survived but spent years rebuilding institutional trust.
// LESSON
For marketplace lenders, loan data integrity is the product. Falsifying origination dates is not a compliance technicality — it invalidates every institutional investor's credit risk model and destroys the trust that marketplace lending is built on.

// IN THE SIMULATION

Auxmoney triggers OPEN_BANKING_ADOPTION_LAG — the simulation models P2P lenders as dependent on bank data APIs for underwriting. In markets where open banking adoption is slow, P2P credit models cannot differentiate from traditional bank models.

LendingClub triggers FINTECH_FOUNDER_DATA_MANIPULATION — the simulation models loan data integrity as a hard constraint for marketplace lenders. When origination data is falsified, every institutional investor's credit model becomes invalid simultaneously.

// EXPLORE FURTHER