A Netflix storage engineer walks into YC and ships an “infinite, shareable disk” on top of S3—30× faster and up to 90% cheaper—then dials GTM for the AI era. This is the file system’s comeback story.

Today I sit down with Hunter Leath (ARL) to unpack how a decade inside AWS + Netflix revealed a gap the hyperscalers won’t close: developers want storage that feels local, scales like S3, and doesn’t nuke the budget. We get into: YC as confidence engine, moving a family to SF, rebuilding for speed, why AWS won’t copy this, and why the file system—not object storage—becomes AI’s universal interface.

You’ll learn

-Why the clouds won’t ship a product that cannibalizes billions in revenue

-The architecture that makes ARL 30× faster and up to 90% cheaper

-How to catch customers exactly when new AI workloads start (the real ICP)

-Post-batch velocity: how SF energy kills the YC slump

-Why “serverless everything” needs a serverless disk to persist state

-The contrarian bet: the file system is the future data interface for AI

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

Chapters

00:00 The Risk of Leaving Big Tech

00:33 Introducing Hunter Leh and Aril

01:32 Hunter's Journey from AWS to Netflix

02:47 The Birth of Aril

06:55 Challenges and Insights from YC

07:26 The Solo Founder Experience

19:39 Building and Launching Aril

21:01 Go-to-Market Strategy and Customer Acquisition

24:04 The AI Industry's Growing Demand

24:49 Fundraising Journey and Investor Insights

26:35 AWS and Market Dynamics

29:17 Innovations in Data Storage

36:23 Maintaining Momentum Post-YC

38:27 Future Predictions in Data Infrastructure

42:22 Contrarian Views on AI and Data Storage

44:20 Conclusion and Contact Information

🎧 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