In this episode of the Product Podcast we chat with Jeremy Forrester, VP Product at Twitch and a key player in the world of short videos and live streaming. From his work on Vine for Windows Phone at Twitter to his impactful eight-year stint at Twitch, Jeremy offers incredible insights into the challenges and successes that have shaped today’s media scene.

Jeremy talks about Vine's legacy and its influence on platforms like Instagram Reels and TikTok. Moving on to Twitch, he gives us a behind-the-scenes look at what keeps streaming audiences engaged and growing. We dive into how activities like gaming and DJ sets keep viewers hooked, with highlights like Ibai’s record-breaking streams and Ninja’s celeb collabs. Jeremy also explores the future of live streaming, including mobile game streaming and the impact of generative AI.

Discover how Twitch stands out from the crowd and the cool tools that make user experiences better. Jeremy also shares tips on how Twitch’s team structure supports both viewers and creators. This episode is packed with lessons on handling conflicts, continuous learning, and the importance of networking. Whether you’re a content creator or just love streaming, this episode is full of valuable insights and inspiration.

Content

(00:00) 🎬 Intro
(03:00) 🚀 The evolution of Jeremy at Twitch
(07:33) 📊 Key indicators of Twitch’s content
(11:09) 🧑‍💻 How does Jeremy define a content creator?
(13:48) 🌐 Twitch expansion: from community to events
(19:43) 🔮 What’s next for Jeremy
(24:10) 🎮 The gaming scene
(28:37) 🤖 How does Twitch implement Gen AI
(33:54) 🏢 Jeremy’s role as a VP of Product at Twitch

Key Takeaways

Learn from predecessors: Vine's influence on platforms like Instagram Reels and TikTok underscores the importance of studying and understanding past products. This can provide valuable insights and guide the development of new features or products.
Focus on community: Jeremy's role in evolving Twitch highlights the significance of fostering a strong community. Product people should prioritize features that help users build and sustain their own communities.
Utilize machine learning for personalization: Implementing personalized recommendations can significantly enhance user engagement. Additionally, features like polls and channel points can create interactive and engaging user experiences, emphasizing the need for continuous innovation in user engagement strategies.

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