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fabrice grinda

T3 · host / generalist

Serial entrepreneur who built and sold multiple companies including OLX (300M users across 30+ countries), and prolific angel investor. Founded FJ Labs, which has backed over 1,100 startups including Alibaba, Coupang, Delivery Hero, and Rappi. Known for quantitative marketplace evaluation frameworks and rapid conviction-based investing.

1 call·1 name·100% bull·last heard 6 months ago·Generating Alpha Podcast
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$BABAAlibabaposition

Grinda reveals early Alibaba investment thesis: marketplace dominance and Alipay monetization

Grinda invested in Alibaba around 2010 via a Tiger Global tender offer at roughly a $15B valuation because he knew Jack Ma, deeply understood marketplace dynamics from building OLX, and saw the company beginning to monetize through Alipay and financial services.

Generating Alpha Podcast2026-04episode →

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  • Marketplace Business Models1
  • AI Economics & Business Models1
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Alibaba
HIGHfabrice grinda·Generating Alpha Podcast·6 months ago·Episode 51: Fabrice Grinda - Founding Partner of FJ Labs· position
Grinda reveals early Alibaba investment thesis: marketplace dominance and Alipay monetization
Grinda invested in Alibaba around 2010 via a Tiger Global tender offer at roughly a $15B valuation because he knew Jack Ma, deeply understood marketplace dynamics from building OLX, and saw the company beginning to monetize through Alipay and financial services.
"turns out that Tiger had invested in the early days in '98 or '99 and their LPs were you know after 10 years or 12 years retired and so they organized a tender to sell their share…"
21:39
8
Marketplace Business Modelstailwind
Grinda defines seed-stage marketplace metrics: >25% sell-through, falling CAC, unit economics
Great marketplaces show early liquidity signals: sell-through rate above 25%, supply retention where the platform represents 25%+ of supplier revenue, and network effects that drive customer acquisition costs down as they scale — unlike traditional businesses where CAC rises. Founders who articulate supply-building, demand-matching, and expansion logic with unit-economics fluency are the ones who scale.
7
AI Economics & Business Modelstailwind
Grinda: technology is deflationary and can solve inequality, well-being, and climate crises
Grinda argues technology's deflationary nature — making things cheaper, better, faster — directly addresses the 21st century's three core problems: inequality of opportunity, mental/physical well-being crises, and climate change. He explicitly links this to decarbonizing the grid and backs founders building scalable solutions to these problems.
7
Venture Capitaltailwind
Grinda cites AngelList data: 500 companies per fund optimizes power-law capture
Referencing AngelList analysis, Grinda states that investing in roughly 500 companies per fund provides sufficient diversification to reliably capture the power-law distribution of venture returns; fewer companies risk missing outliers, while more yields diminishing marginal returns. His own curiosity-driven approach naturally produces this breadth.