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The Discourse Podcast

Discourse

The Discourse Podcast Hosted by Joan Westenberg

The internet has a coordination problem. We built tools for connection and ended up with fragmentation. We built spaces for conversation and ended up with noise. Something went wrong, and a lot of smart people are trying to figure out what.

The Discourse Podcast talks to the people working on it. Builders, researchers, community architects, and thinkers who are paying attention to how humans gather online and why it keeps breaking down.

Each episode is a conversation about the state of the web, what healthy communities actually look like, and what it takes to get from here to something better.

Hosted by writer and critic Joan Westenberg, produced by Discourse.

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  • 3 episodes
  • Avg 48 min
  • English

Episodes 3

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  • S1 · E3
    April 20 · 53 min

    Episode 3: Richard Millington

    Richard Millington sits down to dismantle the idea that community is something you can manufacture on a deadline. We get into why belonging is the whole game, what actually goes wrong when enterprises copy-paste community playbooks, and how influencers and OnlyFans models quietly rewrote what "community" even means. Also on the table: the future of hosted platforms, AI's appetite for community data, brand risk and inertia, and the one question most founders never think to ask. Is this community actually doing anything? Takeaways Community Building Psychology over Technology Changing Trends Embracing New Approaches Chapters 00:00 Building Communities and the Psychology of Belonging 09:26 Intentional Design vs. Organic Growth 20:35 Psychology Over Technology in Community Building 29:21 Innovation in Enterprise Community Building 35:21 Defining Community and Audience 40:50 Brand Risk and Inertia 46:01 AI and Community Data 52:55 Starting a Business and Community Mindset

    • Transcript
  • March 29 · 38 min

    Episode 2: Hawk

    What does it take to build an online community that actually lasts? In this conversation, I sit down with Hawk to talk about the evolution of digital communities - from the early days of forums to the algorithm-driven platforms we're stuck navigating today. We dig into why so many online spaces burn out, what the attention economy is doing to the way we connect, and what community builders can do differently. We cover the shift from growth-at-all-costs to sustainable stewardship, why open source matters more than ever for community infrastructure, how to know when it's time to migrate your community to a new platform, and what role AI might play in all of this going forward. Key takeaways: "Slowing down doesn't mean doing less." "Start planning your community migration early." "Open source is safer for community builders." Chapters: 00:00 The State of Online Communication 02:09 The Search for Authenticity in Online Spaces 05:32 The Impact of Attention Scarcity on Communities 10:25 Valuing Time and Attention in Community Building 14:02 Navigating Real-Time Communication Challenges 18:34 Ownership and Control in Online Communities 21:44 Planning for Community Migration 26:30 Recognizing Critical Mass in Community Growth 29:45 Addressing Loneliness Through Community Engagement 31:24 Designing for Depth and Longevity in Communities 34:30 The Future of Communities and AI

    • Transcript
  • S1 · E1
    March 11 · 53 min

    Episode 1: Sam Saffron

    Sam Saffron co-founded Discourse over a decade ago because he thought internet forums had stopped getting better. In this episode, he talks about what's actually changed now that AI is inside the development loop, why he thinks most teams are misusing it, and how Discourse is building AI into moderation, search, and community management without breaking what makes communities work. Joan and Sam get into the mechanics: how Sam codes with AI tools day-to-day, what MCPs are and why context management is the real problem nobody's solving well, and why programming languages matter less than they used to. They also talk about what it takes to run a platform that has to serve a 10-person forum and a 10-million-post community on the same codebase. Takeaways Most AI hype in engineering teams is real, but the gains are unevenly distributed Moderation at scale requires AI, but trust requires humans Context and provider flexibility matter more than which model you pick Delegation and planning are harder to automate than writing code A community platform that does everything is harder to build than it sounds, and probably worth it Chapters 00:00 Sam on AI hype: what's real and what's theatre 05:22 How AI changed Discourse's engineering team 13:00 AI moderation: where it works, where it breaks 19:05 The reporting problem: what communities flag vs. what they should 24:22 Scale, activity, and moderation load 29:42 Why provider flexibility matters more than model choice 54:27 One platform for every community: the product vision

    • Transcript
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