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The Lab is a podcast about AI, software, startups, and the messy reality of building with new technology. Hosted by the Lumin team, each episode explores what is changing, what is overhyped, and what actually matters when turning ideas into products.
ผู้จัด:
ความถี่ในการอัพเดต:
every 10 days
ความยาวเสียงโดยเฉลี่ย:
78 minutes
สัมภาษณ์แขก
ภาษาอังกฤษ
นิวซีแลนด์
6 ตอน
ตั้งแต่ 8 กรกฎาคม 2026
episodic
ตอนล่าสุด 🔗
What happens when crypto moves beyond the hype and becomes something people actually use?
In Episode 6 of The Lab, Justus sits down with Kodi Sinclair and Oliver Jenks from OnChain Education, a Christchurch startup building hands-on blockchain learning tools. They talk about selling to universities…
ตอนก่อนหน้านี้ 🔗
How should we make decisions when AI is becoming part of every workflow — and who is accountable when it gets them wrong?
In Episode 5 of The Lab, Justus, Max and Scott are joined by Dr Daniel van der Walt, Senior Lecturer in Civil and Environmental Engineering at the University of Canterbury. Dan…
Luke, founder of Lodge, joins Max, Scott, and Justus to talk about leaving school at 15, building a company that wants to reinvent tax and accounting, and competing in a world where AI has made software easier than ever to create.
They explore customer-led product development, viral marketing, soft…
Joe Cole, Co-Founder and CEO of Tacit Intelligence, joins The Lab to discuss how the hidden judgment of human experts can be captured and used to train more capable, reliable AI systems.
Drawing on Joe’s experience building technology for hundreds of professional sports teams and Olympic programmes…
In episode 2 of The Lab, we talk through what it actually looks like to build software with AI agents in the loop.
We cover the first MVP, why big codebases can make agents more useful, Scott’s prompting framework, enterprise-ready AI workflows, background agents, Cursor, Codex, merge conflicts, an…
In this first episode of The Lab, we talk about building real products with AI, what actually matters when hiring, the strange ways people trust confident AI systems, and why taste, persistence, and shipping still matter.
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