All autopsies

// STARTUP COMPARISON

PerPule vs LendingClub (2016 crisis)

PerPule failed in 2021 due to Acquisition Gone Wrong. LendingClub (2016 crisis) failed in 2016 due to Founder Chaos. Different causes, different sectors, different eras — but the same simulation outcome.

METRIC🔥 PerPule🔥 LendingClub (2016 crisis)
SectorFintechFintech
CountryIndiaUSA
Founded20162006
Died20212016
Raised$10M$1.3B
Peak$10M raised$9B valuation
Primary CauseAcquisition Gone WrongFounder Chaos

// WHY EACH FAILED

🔥 PerPule
Acquisition Gone Wrong
PerPule built a checkout and billing SaaS for physical retail stores in India. After raising $10M, it was acquired by Amazon in 2019 as part of Amazon's push into physical retail in India. The technology was integrated into Amazon's retail operations, the PerPule product was discontinued, and the team was absorbed. The independent product ceased within 2 years of acquisition.
// LESSON
When Amazon acquires a retail technology company, they are buying the technology and the engineers, not the product. If your exit thesis depends on Amazon being a product-preserving acquirer, revise the thesis.
🔥 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

PerPule triggers STRATEGIC_ACQUISITION_PRODUCT_TERMINATION — the simulation models acquisitions where the acquirer's goal is capability, not product continuation. Amazon acquires to build its own retail infrastructure, not to maintain a competing product.

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