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LIVE 01:21:49

AI and Enterprise Software: Distribution and Network Effects Trump Code

Benedict Evans and Bernard Leong discussed the significant challenges in software development, emphasizing that distribution, network effects, and product-market fit are more critical than the code itself. Evans highlighted the difficulty in even recognizing these underlying problems. The conversation explored the implications for the future of AI and enterprise software. AI

IMPACT Explores how distribution and network effects, rather than code, are key to AI and enterprise software success.

RANK_REASON The cluster discusses an opinion piece on software development challenges, featuring a guest speaker.

Read on Mastodon — fosstodon.org →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI and Enterprise Software: Distribution and Network Effects Trump Code

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    The hardest part of building software? It's not the code. 🤖 Guest Benedict Evans joins Bernard Leong to break down why distribution, network effects, and produc

    The hardest part of building software? It's not the code. 🤖 Guest Benedict Evans joins Bernard Leong to break down why distribution, network effects, and product-market fit are the real challenges. He discusses the difficulty of even seeing the problem exists in the first place. …