What does it take to back a technical founder before there's a product, a customer, or a dollar of revenue?
Ashmeet Sidana has been doing exactly that — and he's been oversubscribed on every fund he's ever raised.
Ashmeet is the Founder and Managing Partner of Engineering Capital, a seed-stage venture fund he runs as a solo GP in the Bay Area. A Stanford-trained engineer and former product leader at VMware, he brings one of the sharpest technical lenses in early-stage venture.
⭐ Sponsored by Podcast10x - Podcasting agency for VCs - https://podcast10x.com
In this episode we cover:
→ Why software still holds 63,000x more opportunity than hardware
→ Data as the new asbestos — and the AI slop contamination loop
→ Data sovereignty and the rise of isolated global cloud regions
→ Big tech's structural blind spots and the Gandhi model for startups
→ Backing technical founders at day zero, before product or revenue
→ Why running a fund alone is a structural advantage, not a risk
→ The VMware lesson every AI infrastructure founder needs to hear
Links:
Engineering Capital: engineeringcapital.com
Connect with Ashmeet on X: ashmeetsidana
Connect with Prashant: https://linkedin.com/in/choubeysahab
Subscribe to VC10X newsletter - https://vc10x.beehiiv.com
Subscribe on YouTube - https://youtube.com/@VC10X
Subscribe on Apple Podcasts - https://podcasts.apple.com/us/podcast/vc10x-investing-venture-capital-asset-management-private/id1632806986
Subscribe on Spotify - https://open.spotify.com/show/7F7KEhXNhTx1bKTBFgzv3k?si=WgQ4ozMiQJ-6nowj6wBgqQ
VC10X website - https://vc10x.com
Timestamps:
(00:00) - Preview
(01:22) - Introduction to Guest Ashmeet Sidana & Episode Overview
(03:00) - The Interconnect Layer Bottleneck in LLM Training
(04:52) - Physical Limitations: From Silicon Availability to Megawatt Capacity
(06:01) - Powering Data Centers: Consistent vs. Intermittent Energy Sources
(08:21) - The Case for Software: Unlocking 63,000x Performance Gains
(11:12) - Data Sovereignty and the Rise of Independent Cloud Regions
(13:19) - How Engineering Architectures Must Evolve to Handle "AI Slop"
(16:57) - Can AI Be Used to Detect AI-Generated Slop?
(18:26) - What Happens When a New AI Architecture Replaces the Transformer?
(20:19) - Startup Opportunities Arising from the Legacy CPU Stack
(21:48) - How Startups Can Compete with Big Tech's Infinite CapEx
(25:34) - Identifying Big Tech's Structural Blind Spots in the AI Cycle
(28:22) - Early Signals of Commercial Instinct in Technical Founders
(29:47) - How to Pressure Test a Founder's "Technical Insight" at Day Zero
(31:45) - The Solo GP Advantage: Turning Key Man Risk into Structural Alignment
(34:51) - Transitioning from an Operator to a Venture Capitalist
(36:34) - Managing the Workload as a Solo GP
(39:30) - Why AI Startups Struggle to Find a Specific Niche like VMware's Server Consolidation
(41:17) - Rapid-Fire Round: Investment Thesis
(42:40) - Rapid-Fire Round: How Founders Can Get in Touch
(43:05) - Rapid-Fire Round: Where to Follow Ashmeet Sidana
