Welcome to Slow Ventures’ Snailmail, where we slow down and share what’s been on our partners’ and founders’ minds this week.

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Security’s Big Lie: Faster Isn’t Smarter in the Age of AI

Will Quist

Context:
Back in January, I wrote that “AI’s first major victims will be the cybersecurity oligarchs—Palo Alto, CrowdStrike, Zscaler.” Not because security doesn’t matter, but because the architecture underpinning these companies was built for a world that no longer exists.

What we’re seeing now isn’t AI coming for security. It’s the market realizing (maybe a little late) that the ground has already shifted. On Friday, Anthropic’s unreleased “Claude Mythos” model leaked—Fortune, CNBC, and Yahoo Finance all reported it poses “unprecedented cybersecurity risks,” capable of rapidly finding and exploiting software vulnerabilities at machine speed.

The market reaction was immediate and telling: CrowdStrike dropped 7%. Palo Alto Networks fell 6.8%. Zscaler, 4.5%. The iShares Cybersecurity ETF lost 4.5% in a single session. Okta, SentinelOne, Fortinet—all hammered.

Market Signal:
The market’s response has been to treat this as an acceleration problem. Smarter models on the same old stacks, faster correlation, more automation—but still running on the same primitives and assumptions, just at machine speed. The oligarchs—Crowdstrike, Okta, and the rest—are still optimizing to extend their platforms, not question their core premises. They’ll make better agents, or add ML to identity, but I’m not sure any of them are asking if “endpoint” or “identity” are even the right starting points anymore.

Takeaways:
I don’t know what the right solution looks like, but I’m pretty sure it’s not just “go faster.” The real opportunity is to rethink the core concepts: identity, trust, containment. Not just upgrade the stack, but question what still makes sense at all. For founders and operators, that’s the wedge: challenge the assumptions, don’t just optimize the status quo.

100x or Bust: The Untapped Goldmine in Premiumizing Everything

Sam Lessin

Context:
There’s a weird but undeniable market reality right now: in almost every product category, you can find a 100x (or even 1000x) price difference between the cheapest and most expensive options. Think about housing, travel, art. But in a surprising number of categories—groceries, media, basic consumer goods—this spread just doesn’t exist. The “ultra-premium” option either isn’t there, or if it is, it’s just a branding exercise, not a fundamentally better product.

This isn’t about making a value judgement on inequality, but the fact is: the 1% is getting richer, the Gini coefficient is up and to the right, and tech leverage means this trend isn’t going anywhere. Like it or not, there’s a small but rapidly growing segment of people who are incredibly price-insensitive, and a much larger group who are super price-conscious. The “middle” is shrinking.

Market Signal:
Here’s the opportunity: if you look at categories where there isn’t a 100x price range, that’s a flashing neon sign for founders. If you can actually deliver a product or service that’s genuinely, materially better—done “right,” to the 9s, not just with a fancier logo—there are customers waiting. And, ironically, they’re often easier to sell to: the wealthy are less price-sensitive, and if you deliver on quality, they’ll buy.

Takeaways:

  • The 100x Rule: Every product category should have at least a 100x price difference from cheapest to most expensive. Where it doesn’t, there’s a gap.

  • Tech-Driven Inequality = Opportunity: With wealth concentration accelerating, there’s a growing market for ultra-premium, best-in-class products and services—even in categories where it doesn’t exist yet.

  • Don’t Just Charge More—Deliver More: This isn’t about “luxury” for its own sake. It’s about building something you’re passionate about, done as well as it can be done, and charging what it actually costs.

  • Counterintuitive Sales Dynamics: The premium customer is often easier to acquire than the budget-conscious one, because price is not their primary concern.

Introducing: The Slow Lens—Train Your AI Agent On Slow’s Thinking

Team Slow

At Slow, we talk publicly about how we think. We post our takes in real time, debate them in the open, and let the record speak for itself. We figured, why not make that useful?

The Slow Lens is two downloadable files that turn our collective thinking into a tool any founder can use:

slow-lens.md is the knowledge base. It covers how we evaluate businesses, what we’re skeptical of, and what we actually look for—from our stance on SaaS and the Growth Buyout thesis to how we think about AI, cybersecurity, and equity efficiency. Every claim is backed by a real quote with a link to the original post, just things we’ve said publicly, organized into a framework.

slow-pitch-eval.txt is a system prompt. Copy it into ChatGPT, Claude, or whatever AI tool you use. Upload the knowledge base alongside it. Then paste your pitch deck, your business plan, or just describe what you’re building. The AI will evaluate it through our lens.

Why we’re sharing this: We rarely care for cold inbound but we believe the best founders want harder questions, not easier ones. If stress-testing your pitch against our thinking helps you build something sharper, that’s good for everyone. And if it makes you rethink your business model entirely—that might be the most valuable thing we could give you.

This is v1. Let us know your feedback and results.

More Musing From The Team

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