Sam Lessin | Snailmail (by Slow Ventures)
Sam Lessin
The Themes That Matter for 2026
We’re officially in the phase where AI turns software into a consumable commodity and interfaces into something spun up on demand. 80% of the seed market is now “synthetic beta”—perfect pricing, no edge.
Welcome To The New AI Order: $150K SaaS Killed In A Week
We’re officially in the phase where AI turns software into a consumable commodity and interfaces into something spun up on demand. 80% of the seed market is now “synthetic beta”—perfect pricing, no edge.
The Only AI Questions That Matter for 2026
2026 is when the AI story stops being about a fairytale of infinity and starts being about proof. How will Meta, OpenAI, Google, and others survive the cheap-cash winter?
6 Predictions For 2026
Here are 6 predictions I’m not exactly comfortable making but I’ll make them anyway. Some are obvious, some are weird, and a few actively keep me up at night.
Writing AI Prompts Can't Be The Future
Most people are just not good writers. I saw this firsthand during my days at Facebook, watching millions of people freeze up at the sight of a blank text box. If you want evidence, look no further than the rise of photo and video sharing.
Why OpenAI’s “Code Red” Isn’t Facebook’s 2011 Google+ Lockdown
I can’t help but get déjà vu watching OpenAI’s “code red” response to Google Gemini. Fourteen years ago, I was in the only Facebook engineering building when Google+ launched. It truly felt like a sneak attack from a massive, well-resourced competitor. Google+ was polished, fast, and—at least on the surface—scary.
They’re Not Dumb. You’re Just Not Paying Attention.
This is especially true in early-stage VC, where the real job is less about analyzing markets or products and more about deeply grokking the teams. The best investors aren’t just spreadsheet jockeys, they’re empathy machines.
Waymo’s Real Disruption: Suburban Nannies, Not Uber Driver
Everyone’s talking about autonomous cars replacing Uber drivers, but that’s missing the real story. The actual disruption? Waymo is coming for the parent-chauffeur job. It’s coming for nannies.
The Co-Founder Myth: Why Investors Love It (But You Should Ignore It)
For the last decade, tech incubators and scaled seed investors have basically made having a co-founder a gospel: “Show me your founding team. Who are your co-founders?” If you’ve ever pitched at a YC Demo day or any of the big seed shops, you know the drill. But why is this such a big deal?
OpenAI is Playing Race To Becoming Too Big To Fail
We’ve seen this before, right? The “too big to fail” vibes are back—OpenAI’s recent comments about a government backstop were a real tell. It’s not just Silicon Valley anymore; Wall Street, sovereign wealth funds, the whole global capital stack is now in the game.
Request for Startup: Vanity Restaurant in a Box Platform
I’ve been thinking a lot about the future of restaurants, bars, and coffee shops. It feels like we’re headed toward a bifurcated world: on one side, there are the massive franchises (think Starbucks, Chipotle, etc.), and on the other, there’s this emerging category I call “vanity spots”.
Request for Startups: Marie Kondo 2.0
Let’s be honest: if you live in America, especially if you have kids, your house is a black hole for stuff. Drawers, closets, under the bed—everywhere you look, there’s stuff. Most of it you forgot you even owned. And yet, the cycle continues: buy, accumulate, bury, repeat.
Sora Is More Truth Social Than Instagram
I just spent some time with Sora’s new “social app,” and honestly, I’m left with mixed feelings. There’s some very real tech magic under the hood, but as a product and a market signal, it’s more interesting as a chess move than as an actual social network.
Memetic Warfare: Let Memes Recruit Your Army For Free
Memetic Warfare is the next phase after bot farms. Blasting the internet with automated messages is yesterday’s game; today, it’s about getting real humans to do the work, because only real engagement gets into the circles that matter.
The Real Inequality Crisis Isn’t Economic... It’s Social
If you can’t demonstrate mastery locally, you’re not showing it to the people you actually interact with. That has real-world consequences: it gets harder to feel good, get along, compromise, even date and build families.
Following the Money Doesn’t Work in Startups Anymore
The nice part about money? It’s supposed to be a standard API for interacting in the real world. The problem of our age is that that system is, unfortunately, breaking down. In 2025 it is critical to be precise in your interpretation of personal incentives like never before.
How "Lawfare" Became the Ultimate Power Move
This is a massive, under appreciated shift in the startup and investing landscape. Now, legal resources aren’t just a cost center, they’re a strategic moat. The richest and most powerful can use lawfare to bludgeon smaller players into submission.
The Next Big AI Power Move: Startups Buying Legacy Giants?
Strong companies right now can go out and buy AI talent at insane prices because the market rewards them for it. But here’s what’s more interesting to me—what happens if you’re not one of those companies?
Simply Having a Large Codebase is No Longer a Moat
AI tools like Cursor and large language models don’t (yet) replace deep engineering creativity—but they do dramatically accelerate the generation and manipulation of large volumes of boilerplate code. This levels the playing field...
Great Companies Need to Be Fun
Despite the downturn, successful founders (past and present) seem to share one trait: authentic enjoyment of the chaos. From Barry Piller’s profiles to Adam Neumann’s resilience, the ones who keep going are the ones having fun—not because it’s easy, but because they’re wired to love the grind.
The Rise of Intentional Billionaire Employees
Historically, a few extraordinary people might have been paid millions for their work, but no one’s labor was worth billions. The rare cases where someone ended up with billions were accidents of early equity, not deliberate shareholder-approved comp packages.
Prediction Markets 2.0: Betting on LLMs
The future of prediction markets has to look more like high-frequency trading, where machines compete by spotting tiny mispricings and trading rapidly. This isn’t just about AI for the sake of AI — it’s a natural progression.