The hottest Platform Strategy Substack posts right now

And their main takeaways
Category
Top Technology Topics
@adlrocha Weekly Newsletter • 909 implied HN points • 01 Mar 26
  1. Intelligence is becoming a commodity. What will matter most is the context, connections, and secure runtimes you give that intelligence — that context becomes the product and the moat.
  2. Software is shifting from static apps to adaptive agents with small cores plus many 'skills' or plugins, so value will sit in the integration, data, and runtime layer that lets agents work in the real world.
  3. An AI-first society raises real alignment and existential risks because autonomous agents can act on underspecified goals, so preserving human-centered values and community and improving how we communicate intent to AIs is essential.
Wrong Side of History • 669 implied HN points • 03 Mar 26
  1. Substack’s paid-subscription model has enabled many talented, quirky writers to earn money and publish longer, independent work outside traditional media.
  2. The current per-writer pay model creates subscription fatigue because many readers can’t afford multiple paid subs, which can limit audience growth for mid-tier writers.
  3. Bundling paid Substack subscriptions into discounted packages with shared revenue and limits on switching could lower costs and grow audiences, but it should be opt-in and may not attract the highest-earning writers.
Simon Owens's Media Newsletter • 49 implied HN points • 05 Mar 26
  1. They design journalism to live natively on social platforms like TikTok, Instagram, and YouTube Shorts instead of trying to pull young audiences back to a website.
  2. Reporters work as "triple-threat" video journalists who shoot, edit, and publish their own short-form stories using formats like vertical video, swipeable carousels, and short documentaries tailored to each platform.
  3. They combine platform-native storytelling with mainstream journalistic standards, which keeps the newsroom social-first while enabling growth into multiple brands, a creative agency, and an experimental creator platform.
Brad DeLong's Grasping Reality • 453 implied HN points • 05 Dec 25
  1. The AI boom probably won’t deliver a superintelligent AGI, but it will leave a lot of useful infrastructure, open models, and tools that improve weather forecasting, drug discovery, copilots, and other practical applications.
  2. Proprietary LLM businesses face high operating costs, thin moats, and fast commoditization, while big platforms are mainly spending to defend existing monopolies, so much innovation will diffuse rather than create new dominant platforms.
  3. If AI capex is financed mostly with equity a crash would look more like the dot‑com bust and leave stranded but reusable assets; watch signals like falling GPU prices, datacenter subleases, and free copilot bundles, and plan policies to repurpose assets and limit attention‑harvesting harms.
Enterprise AI Trends • 168 implied HN points • 30 Dec 25
  1. Meta's acquisition of Manus rescues a fast-growing but unprofitable startup and rewards its founders and investors, while adding geopolitical and competitive implications.
  2. Because Manus relied heavily on Anthropic's Claude, the deal creates strategic tension — Meta could replace Claude in Manus's agent loop and become a direct competitor to Anthropic.
  3. The purchase highlights a bigger industry debate: Meta is betting that agent scaffolding and tools — not just foundational models — hold the most value, a stance that could reshape AI strategy and competition.
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