A surfer duct-tapes a phone to his board… and ends up saving enterprise couriers 32 seconds per stop. The last meter of delivery — not the last mile — is where the money is.

In this Lobster Talks episode, Ingo Boegemann, co-founder/CEO of truemetrics, breaks down how sensor fusion + mission intelligence turn messy building entrances, courtyards, and wrong pins into precise, repeatable delivery actions. We go deep on Europe vs. US GTM, GDPR constraints (and why the US may unlock even more value), landing whales like GLS, and the unscalable POC that unlocked scale.

You’ll learn

• Why “a generic geocode is just the starting point” — and how to map entrances that actually work
• The POC → pilot → rollout playbook (and why Truemetrics charges for POCs)
• How to integrate via SDK without slowing ops — and show value before engineering lifts a finger
• Europe vs. US: privacy ceilings, data linking, and why boots-on-the-ground still wins enterprise sales
• The real driver bottleneck: pressure, compliance, and turning best drivers’ tacit knowledge into software
• The long game: building a data moat for autonomous last-meter delivery

Chapters

00:00 Introduction to Last Meter Delivery

01:07 Meet Ingo Boegemann: The Journey to Truemetrics

02:15 From Surfboards to Sensor Fusion

05:04 Challenges and Realizations in Delivery Solutions

06:47 European vs. US Market Dynamics

11:42 The Path to Scaling in North America

19:02 Innovative Solutions for Delivery Logistics

21:37 How Truemetrics Technology Works

26:36 Magnetic Field Intensity and Machine Learning Models

27:29 Challenges in Courier Data Integration

29:52 Sales Process and Proof of Concept

32:08 Logistics Industry Vulnerabilities

35:42 Future of Autonomous Deliveries

38:30 Data-Driven Delivery Solutions

48:31 Closing Remarks and Contact Information

📌 Watch now and subscribe for more smart, fast, founder-first interviews.

🎧 Listen on the go:

Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP

Apple: https://apple.co/4cZ8RMm

My other YouTube Channel: https://www.youtube.com/@GJarrosson

What if you could simulate human reactions — and know exactly how your customers, investors, or audience will respond before you act? James He is building precisely that with Artificial Societies.

In this episode, we dive deep with James, YC W25 founder of Artificial Societies — a wildly ambitious startup that simulates entire groups of humans using AI personas to predict how messages spread, markets react, and products succeed (or fail). From simulating 1,000 VCs to get into YC… to replacing $20,000 market research surveys, this conversation is a masterclass in founder execution, behavioral science, and AI-first GTM strategy.

What you’ll learn:

• How Artificial Societies works (and how founders are really using it today)

• Why traditional A/B testing and market research are broken

• Product-led growth lessons from 15,000+ activated users

• The surprising YC tricks James used to get into the batch

• Practical ways AI can upgrade your messaging, GTM, and PMF search

• The future of simulating entire economies (and why we’re not there yet)

📌 Watch now and subscribe for more smart, fast, founder-first interviews.

Chapters:

00:00 Simulating Investors: The Early Days

00:27 Introducing Artificial Societies

00:48 Journey to YC and Beyond

01:06 How Artificial Societies Works

03:02 The Science Behind Social Influence

05:27 Technical Insights and Applications

17:28 James' Personal Journey

22:29 Building and Growing the Startup

24:50 Using Internal Tools for Optimization

27:38 The Evolution of A/B Testing with AI

29:41 Challenges in Market Research

33:14 AI's Role in Market Research

34:40 Balancing Customer Feedback and Product Vision

42:55 Future Predictions and AI Capabilities

47:48 Closing Remarks and Final Thoughts

🎧 Listen on the go:

Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP

Apple: https://apple.co/4cZ8RMm

My other YouTube Channel: https://www.youtube.com/@UCahCIZ9KfmeK4rLosGNYpdg

My other YouTube Channel: https://www.youtube.com/@GJarrosson

YC just dropped its latest Requests for Startups — and they’re not just ideas, they’re roadmaps to the future. From AI-native enterprise software to 10-person $100B companies, these signals reveal where the smartest founders (and investors) should be looking.

In this episode of Lobster Talks, Laurie and I break down Y Combinator’s newest RFS — from retraining workers for the AI economy to video generation as a computing primitive. We debate the real opportunities, the traps, and how these trends could reshape the startup ecosystem.

What you’ll learn:

- Why YC’s RFS is one of the best ways to predict upcoming demo day winners

- The massive opportunity in retraining workers for the AI economy

- Why video generation is shifting from an output to a primitive

- How AI-native startups could disrupt giants like Salesforce

- Whether 10-person $100B companies are actually possible

- The risks, politics, and second-order effects of LLMs in government

Chapters:

00:00 Introduction: The Value of Customer Money

00:26 Y Combinator's Request for Startups

01:14 AI and Worker Retraining

02:30 The Future of Semiconductors and Deep Tech

04:34 AR, VR, and AI in Training

09:02 Video Generation: The Next Frontier

16:12 The First 10-Person $100 Billion Company

22:31 The Future of Small Teams and Fundraising

24:03 Challenges and Opportunities in Multi-Agent Systems

28:12 AI Native Enterprise Software

34:39 Using AI to Revolutionize Government Consulting

41:24 Conclusion and Upcoming Events

📌 Watch now and subscribe for more smart, fast, founder-first interviews.

🎧 Listen on the go:

Spotify: https://open.spotify.com/show/1u1JyRKH8JYFjhBkvTUOAP

Apple: https://apple.co/4cZ8RMm

My other YouTube Channel: https://www.youtube.com/@GJarrosson