Coredump Sessions

• #016: From Startup to Global Brand: Scaling Engineering at reMarkable

  In today’s Coredump Session, we sit down with Nico Comier, CTO of reMarkable, to explore the journey from early-stage startup to global brand. Nico shares insights on scaling engineering teams, balancing technical credibility with leadership responsibilities, and what it really takes to bring a hardware product to market. From the pressures of product launches to the importance of customer connection, this conversation dives into the realities of building impactful technology.Key Takeaways:Nico Comier emphasizes the importance of customer impact in engineering roles.reMarkable's journey from startup to global brand involved scaling engineering teams.Cross-functional collaboration is key to successful product launches.Understanding customer needs is crucial for product development.reMarkable focuses on creating tools that help people think better.The Paper Pro Move was developed in response to user feedback.reMarkable values a hacker culture and allows device jailbreaking.Telemetry and customer feedback are vital for product improvement.reMarkable's leadership believes in maintaining technical credibility.Cross-functional teams enhance empathy and collaboration within organizations.Chapters:00:00 Introduction to reMarkable and Nico's Journey04:21 The Path to CTO: Insights and Experiences07:21 Technical Leadership and Staying Relevant10:03 Understanding Customer Needs in Tech Leadership13:00 The Launch of Paper Pro Move: A Major Achievement15:17 Preparing for Product Launch: Challenges and Strategies18:07 Balancing Agile and Waterfall in Product Development21:04 Product Decision-Making: Insights from the Paper Pro Move23:39 Navigating Challenges in Hardware Development26:30 Final Thoughts on Product Launch and Future Directions29:30 The Importance of Hypercare Post-Launch35:44 Scaling a Startup: Lessons Learned39:41 Building Cross-Functional Teams47:13 The Role of Firmware in Product Development50:48 Integrating Accessibility and Customer Feedback57:02 Leadership and Team Dynamics01:00:00 OutroJoin the Interrupt Slack ⁠⁠⁠⁠Watch this episode on YouTube Follow Memfault⁠⁠LinkedIn⁠⁠⁠⁠Bluesky⁠⁠⁠⁠Twitter⁠⁠Other ways to listen:⁠⁠Apple PodcastsiHeartRadio⁠⁠⁠⁠Amazon MusicGoodPodsCastbox⁠⁠⁠⁠Visit our website

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• COREDUMP #015: Developing kid-safe tech at Gabb: what it takes and why it’s so important

  In today’s Coredump Session, we explore the rise of kids safe tech with leaders from the GABB team, creators of connected devices designed specifically for children. From designing products that prioritize child safety to integrating AI in ways that support families, this conversation unpacks the complexities of building secure, intuitive technology for the next generation. The team also shares real-world lessons on hardware partnerships, customer trust, and what it takes to innovate responsibly in the IoT space.Key Takeaways:Kids safe tech is an emerging category centered on digital safety for children.IoT connectivity is essential for building trust between parents and kids.Gabb’s mission is rooted in protecting families through intentional technology.Strong partnerships are critical to scaling hardware, firmware, and software development.AI enhances product safety by filtering content and flagging risks in real time.Security and data privacy are foundational to Gabb’s product design philosophy.Product development requires aligning launch timing, market needs, and platform strategy.Managing multiple product lines demands balance between innovation and sustainment.Kids often outpace parents in tech fluency—celebrating young users can inspire product direction.Efficient QA processes are necessary to uphold product quality and customer trust.Customer feedback and word of mouth are vital inputs for roadmap decisions.Data minimization is a core principle when designing for young users.Cross-functional collaboration drives more effective and family-first product development.Chapters:00:00 Episode Teasers & Intro04:46 Understanding Kids Safe Tech10:25 The Role of Partnerships in Product Development14:59 Navigating AI in Product Design20:20 Balancing Needs of Kids and Parents28:14 Ensuring Security in Kids Tech32:31 Celebrating Advocacy and Security Solutions33:45 Navigating Privacy in Child Analytics37:30 Product Development Cycle and Timelines41:31 Balancing Current and Future Product Development45:53 Sustaining Products Amid New Launches48:37 Customer-Centric Approach in Product Maintenance52:42 Firmware Versioning Challenges and StrategiesJoin the Interrupt Slack ⁠⁠⁠⁠Watch this episode on YouTube ⁠Follow Memfault⁠⁠LinkedIn⁠⁠⁠⁠Bluesky⁠⁠⁠⁠Twitter⁠⁠Other ways to listen:⁠⁠Apple PodcastsiHeartRadio⁠⁠⁠⁠Amazon MusicGoodPodsCastbox⁠

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• #014: Why Your IoT Project Still Hasn’t Taken Off — And How to Fix It

  In today’s Coredump Session, the team takes a hard look at why some IoT projects stall before they ever hit scale. From organizational missteps to product-market fit challenges, they explore the hidden forces that derail even technically sound products. You’ll hear candid insights on why being “connected” isn’t enough—and what it really takes to succeed in IoT today.Key TakeawaysThe biggest blockers for IoT teams aren’t always technical—they’re organizational, strategic, and systemic.Shipping a connected device doesn't guarantee product-market fit, especially if it's missing the right workflows or visibility.Engineers often build what's technically possible instead of what's valuable for the business.Collecting data from devices is table stakes—but what matters is how you use that data to drive action.Many teams lack a clear owner for post-deployment success, leading to blind spots in field performance.“Observability” should go beyond crash logs and include signals that help prioritize engineering work.Product-market fit isn’t static—it has to be reevaluated and maintained across the device lifecycle.Chapters:00:00 Introduction to IoT Challenges01:54 Afzal’s Journey in IoT & Early Expectations04:11 The 500K SIM Card Mirage08:10 Why IoT Projects Stall: Internal Resistance & Misaligned Incentives14:25 Rethinking the “IoT” Label: Lessons from Pebble17:28 When Good Tech Still Fails: The Organizational Blindspot20:43 Field Reality Check: Why Real-World Feedback is Critical26:00 Who Owns It? Accountability After Launch29:07 Designing for Fault Tolerance in Connected Devices32:52 Fragmentation in IoT: Meeting Diverse Customer Needs37:27 Niche Focus as a Winning Strategy39:57 What IoT Can Learn from AI’s Go-to-Market Playbook44:42 Drivers for Success in the IoT Space47:14 The Future of IoT: Regulation, Trust & E-Waste50:32 Final Reflections on Long-Term Ownership & Customer ImpactJoin the Interrupt Slack ⁠⁠⁠⁠Watch this episode on YouTube Follow Memfault⁠⁠LinkedIn⁠⁠⁠⁠Bluesky⁠⁠⁠⁠Twitter⁠⁠Other ways to listen:⁠⁠Apple PodcastsiHeartRadio⁠⁠⁠⁠Amazon MusicGoodPodsCastbox⁠⁠⁠⁠Visit our website

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• #013: Prepping Your AI Model for the Wild: Building Edge AI Models That Work in the Real World

  In today's Coredump Session, we dive into the fascinating world of building Edge AI models that truly work in real-world environments. Joined by David Tischler, Developer Program Manager, and Alessandro Grande, Head of Product at Edge Impulse (A Qualcomm Company), we unpack what it takes to deploy AI on tiny devices, explore practical applications from wearables to industrial use cases, and discuss why customization, hardware choices, and continuous monitoring are critical for success. Tune in to explore how Edge AI is transforming device development and enabling smarter solutions.Key Takeaways:Edge AI empowers devices to process data locally, significantly reducing latency, bandwidth usage, and improving privacy.The best use cases for Edge AI today often involve video and audio analytics, wearables, and industrial sensor applications.Customization is the key value of AI, making it easy to fine-tune models for specific tasks or customer needs without extensive traditional coding.Effective Edge AI requires thoughtful pre-processing (DSP), not just AI models—this combination significantly improves model performance.Hardware selection is crucial; developers must balance model complexity with device constraints, such as available RAM and compute power.Many AI co-processors marketed for embedded systems today are essentially DSP units rebranded as AI accelerators, and usability matters more than raw performance.Observability and OTA (over-the-air) updates are critical components in Edge AI deployment, enabling continuous monitoring, data-driven refinements, and quick responses to issues in the field.Production readiness in Edge AI involves not only initial deployment but ongoing data collection, model retraining, and continuous improvement cycles.Chapters:00:00 Intro & Teasers: Edge AI's Real-World Promise01:57 Meet Our Guests: David Tischler & Alessandro Grande from Edge Impulse05:19 How Edge AI Took Off: From Hyped to Essential09:21 Beyond Voice Commands: Emerging AI Use Cases12:02 Defining the Edge: Wearables to Factories19:09 AI's Hidden Superpower: Customization and Fine-Tuning26:15 Why AI Belongs at the Edge: Latency, Privacy, and Power28:38 Building the Software Stack: Edge AI for Embedded Engineers34:17 Choosing Your Hardware: Constraints and AI Accelerators45:42 Observability and OTA Updates: Essential for Edge AI52:28 Audience Q&A: Fine-Tuning, TinyML, and the FutureJoin the Interrupt Slack ⁠⁠⁠⁠Watch this episode on YouTubeFollow Memfault⁠⁠LinkedIn⁠⁠⁠⁠Bluesky⁠⁠⁠⁠Twitter⁠⁠Other ways to listen:⁠⁠Apple PodcastsiHeartRadio⁠⁠⁠⁠Amazon MusicGoodPodsCastbox⁠⁠⁠⁠Visit our website

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• #012: Plug-and-Play Cellular Connectivity: Nearly Here or Never Happening?

  In today's Coredump Session, we delve into the evolving landscape of cellular connectivity, particularly focusing on eSIM technology and its implications for IoT devices. The discussion features insights from industry experts on the challenges and opportunities presented by cellular connectivity, the cost considerations for device makers, and the technological advancements that are shaping the future of connectivity. Key themes include the vision behind Kigen, the role of SIM technology, emerging business models, and best practices for managing device connectivity and profiles. Key TakeawaysCellular connectivity is essential for modern IoT devices.Kigen aims to secure trillions of connected devices.Cost reduction in cellular modules opens new opportunities.Device makers must consider the total cost of ownership.Emerging business models include rental and subscription services.iSIM technology is gaining traction in the market.Device management and profile updates are critical for success.Security by design is a priority for device manufacturers.Interoperability between eSIM products is improving.Chapters00:00 Intro & Teasers03:54 The Vision Behind Kigen06:36 Challenges and Opportunities in Connectivity09:09 Cost Considerations in Cellular Technology12:01 Innovative Business Models for Device Makers14:46 Understanding SIM Technology17:22 The Future of iSIM and SoftSIM20:19 Global Considerations for Cellular Products30:25 Navigating IoT Network Choices33:41 Choosing the Right Cellular Technology36:56 Understanding eSIM and Network Management42:05 Optimizing Device Connectivity and Provisioning47:43 Key Considerations for New Device Makers54:42 OutroJoin the Interrupt Slack ⁠⁠⁠⁠Watch this episode on YouTubeFollow Memfault⁠⁠LinkedIn⁠⁠⁠⁠Bluesky⁠⁠⁠⁠Twitter⁠⁠Other ways to listen:⁠⁠Apple PodcastsiHeartRadio⁠⁠⁠⁠Amazon MusicGoodPodsCastbox⁠⁠⁠⁠Visit our website

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