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Ryan Orban

Ryan Orban

Subject
6 entries

Business Strategy

Bookmarks

  1. Generative AI's Act Two — Sequoia Capital

    Sequoia's 'Generative AI Act Two' argues that one year after the ChatGPT moment, the real work begins: moving from demos and experiments to applications that deliver genuine business value. A VC thesis on where the durable opportunities in the generative AI wave actually lie.

  2. The Data Moat Myth for Generative AI

    A 2022 tweet arguing that the 'data moat' premise for GenAI startups is a false promise — foundational models commoditize the data advantage that once differentiated ML companies. An early articulation of why the 'ChatGPT for X with proprietary data' pitch was flawed.

  3. The Empty Promise of Data Moats (a16z)

    Andreessen Horowitz's 2019 essay arguing that data moats are largely illusory — data network effects are weaker than assumed, more data doesn't linearly improve model performance past a threshold, and the actual moat is usually elsewhere. Foundational piece in the AI business strategy debate.

  4. Proprietary Hadoop Is a Losing Strategy

    ReadWrite's 2013 argument that commercial Hadoop vendors who added proprietary lock-in would lose to those who contributed everything upstream — a prescient thesis that proved partly right, partly wrong over the following decade.

  5. The Enterprise Strikes Back — Suhail Doshi

    Suhail Doshi's 2012 essay on the return of enterprise software as a viable startup target — written as consumer apps were crowded and enterprise was being 'consumerized' by Dropbox, Box, and Yammer. Captures the SaaS era's opening.

  6. Peter Thiel's CS183: Startup — Class 5 Notes

    Blake Masters' notes from Peter Thiel's CS183 Stanford startup course, Class 5 — covering business strategy, competitive advantages, and how to think about building defensible companies. These notes later became the book Zero to One.

All bookmarks