All autopsies

// STARTUP COMPARISON

Leetchi vs Silicon Valley Bank

Leetchi failed in 2017 due to Acquisition Gone Wrong. Silicon Valley Bank failed in 2023 due to Unit Economics. Different causes, different sectors, different eras — but the same simulation outcome.

METRIC🔥 Leetchi🔥 Silicon Valley Bank
SectorFintechFintech
CountryFranceUSA
Founded20091983
Died20172023
Raised€50MPublic company (SIVB)
Peak5M users$209B assets
Primary CauseAcquisition Gone WrongUnit Economics

// WHY EACH FAILED

🔥 Leetchi
Acquisition Gone Wrong
Leetchi, France's pioneering group money collection platform, raised €50M and reached 5M users. Crédit Mutuel Arkéa acquired it in 2015 for approximately €50M. Post-acquisition, the bank's compliance and risk requirements slowed product development dramatically. International expansion was deprioritized in favor of French regulatory compliance. Competitors including PayPal Pools and Facebook Pay copied the core functionality. Leetchi lost its product-market fit lead under bank ownership.
// LESSON
Selling a consumer fintech to a traditional bank is not an exit — it is a speed constraint. Bank compliance requirements will slow your shipping velocity by 3-5x. If your moat is product speed and user experience, a bank acquisition destroys the moat on closing day.
🔥 Silicon Valley Bank
Unit Economics
Silicon Valley Bank collapsed in March 2023 after a bank run driven by duration mismatch. SVB had invested deposits in long-duration bonds during low-rate periods. When rates rose, those bonds lost value. SVB announced a $1.8B loss on bond sales and a capital raise — triggering a $42B bank run in 24 hours. The FDIC seized SVB on March 10, 2023 — the second-largest bank failure in US history.
// LESSON
Asset-liability duration matching is not optional for banks. Investing short-term deposits in long-term bonds is a structural bet against rising rates. SVB had $80B in long-duration bonds when the Fed began the fastest rate rise cycle in 40 years.

// IN THE SIMULATION

Leetchi triggers BANK_COMPLIANCE_PRODUCT_SLOWDOWN — the simulation models fintech acquisitions by traditional banks as creating a regulatory compliance overhead that triples time-to-feature. Competitors unencumbered by bank compliance ship 3x faster.

SVB triggers DURATION_MISMATCH_BANK_RUN — the simulation models banks with long-duration bond portfolios as having existential rate sensitivity. A 400bps rate rise on a long-duration portfolio creates mark-to-market losses that exceed capital when forced to sell.

// EXPLORE FURTHER