Sequoia paid $110M. The next investor paid $3.4B. Same month.

Good morning, crowd. ☕

Quick game before we start. 🎯

Guess the number: Sequoia invested in seven startups at an average $110 million valuation. Within one month, the next investor came in. What did they pay on average?

🅰️ $500 million

🅱️ $1.2 billion

🅲️ $3.4 billion

Hold that thought. The answer is in story #1, and it's the perfect lens for today's deep dive. The rules of private markets are being rewritten in real time: who gets the good price, how people get their money out, how the best companies grow without giving up equity, and whether regular investors finally get a seat at the table.

📋 Today's 30-second summary

If you only have a minute, here's the whole edition:

• 📈 Two-step pricing: first investors get in ~31x cheaper than the people who follow weeks later

• 🔄 Secondaries: a $112B market just passed IPOs, but its three biggest names are leaving

• ⚡ TypeSafe: from a $200M seed to a reported $10B in about a week

• 🏦 Venture debt: a record $68.8B, because the best companies hate dilution

• 🎟️ Retail IPO access: you can now get the offering price through tokens, but read the fine print

⏱️ Read time: 7 minutes (or 30 seconds if you stop here 😉)

NVIDIA's Founder Says Farmers Should Absolutely Use AI

“If I were a farmer, I would absolutely use AI.” 

That’s Jensen Huang, founder and CEO of NVIDIA. 

And he's pointing to one of AI’s biggest untapped opportunities: Farming. It’s an industry facing mounting pressure to produce more with less and it’s still massively under-automated. 

, nutrition automation, and real-time data to livestock production, helping ranchers boost productivity and get more from every animal. 

And it’s already proven in one of the world's toughest livestock environments: 

• 500+ units deployed 

• 370,000 head of livestock on the platform 

• Up to 55% higher daily weight gain 

Now expanding into the U.S. and Brazil, is targeting a 300M+ head cattle market. And the biggest barrier to adoption? Gone. Ranchers get the technology for free when they sign up for a three-year nutrition plan. 

can scale adoption faster, which means more data and more recurring revenue. 

Invest before this early-stage opportunity gets harder to access.

^{𝘐𝘯 𝘮𝘢𝘬𝘪𝘯𝘨 𝘢𝘯 𝘪𝘯𝘷𝘦𝘴𝘵𝘮𝘦𝘯𝘵 𝘥𝘦𝘤𝘪𝘴𝘪𝘰𝘯, 𝘪𝘯𝘷𝘦𝘴𝘵𝘰𝘳𝘴 𝘮𝘶𝘴𝘵 𝘳𝘦𝘭𝘺 𝘰𝘯 𝘵𝘩𝘦𝘪𝘳 𝘰𝘸𝘯 𝘦𝘹𝘢𝘮𝘪𝘯𝘢𝘵𝘪𝘰𝘯 𝘰𝘧 𝘵𝘩𝘦 𝘪𝘴𝘴𝘶𝘦𝘳 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘵𝘦𝘳𝘮𝘴 𝘰𝘧 𝘵𝘩𝘦 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘪𝘯𝘤𝘭𝘶𝘥𝘪𝘯𝘨 𝘵𝘩𝘦 𝘮𝘦𝘳𝘪𝘵𝘴 𝘢𝘯𝘥 𝘳𝘪𝘴𝘬𝘴 𝘪𝘯𝘷𝘰𝘭𝘷𝘦𝘥. 𝘋𝘐𝘛 𝘈𝘨𝘛𝘦𝘤𝘩 𝘩𝘢𝘴 𝘧𝘪𝘭𝘦𝘥 𝘢 𝘍𝘰𝘳𝘮 𝘊 𝘸𝘪𝘵𝘩 𝘵𝘩𝘦 𝘚𝘦𝘤𝘶𝘳𝘪𝘵𝘪𝘦𝘴 𝘢𝘯𝘥 𝘌𝘹𝘤𝘩𝘢𝘯𝘨𝘦 𝘊𝘰𝘮𝘮𝘪𝘴𝘴𝘪𝘰𝘯 𝘪𝘯 𝘤𝘰𝘯𝘯𝘦𝘤𝘵𝘪𝘰𝘯 𝘸𝘪𝘵𝘩 𝘪𝘵𝘴 𝘰𝘧𝘧𝘦𝘳𝘪𝘯𝘨, 𝘢 𝘤𝘰𝘱𝘺 𝘰𝘧 𝘸𝘩𝘪𝘤𝘩 𝘮𝘢𝘺 𝘣𝘦 𝘰𝘣𝘵𝘢𝘪𝘯𝘦𝘥 𝘩𝘦𝘳𝘦: https://bit.ly/4bzuWCi​  ​}

NEWS OF THE WEEK

Bloomberg

⚡ TL;DR

• Sequoia's two-step deals show a ~31x markup within a single month

• The first investor brings brand and help, the second brings a giant check

• Founders should pick the lead whose name re-rates them. Late investors should know which step they're buying

Sequoia partner Pat Grady recorded a 15-minute AI briefing for Boston College's investment committee, one of the firm's LPs. Then he posted it publicly. Slides from it spread alongside a video that hit 1.4 million views on X.

— (@)

Most people focused on his claim that AGI has already arrived. The number that matters for your wallet is buried later.

🔢 The numbers:

• 7 two-step deals in the past year

• $110M average post-money when Sequoia invested

• $3.4B average when the next investor came in

• Within a month between the two

• ~31x markup. Same company, same team, same product

🧠 Quiz answer: It was 🅲️, $3.4 billion. Did you guess it? Hit reply and tell us what you picked.

Here's how it works. The first investor brings brand, network, and hands-on help, so it gets a low price. The second brings a huge check and pays for access. Supporters inside Sequoia call it separating partnership from pure capital. Critics, including Mercor's founder, call it a two-tier market where insiders lock in gains before anyone else gets in.

And there's more context. Since Grady became co-leader of Sequoia in late 2025, the firm dropped its old rule against backing direct competitors. It now sits in OpenAI, Anthropic, and xAI at the same time.

🎯 What to do with this:

• Founders: your first lead's real value is the price signal they create. Choose the name that re-rates your company

• LPs and late-stage buyers: a $3.4B entry doesn't come with a $110M risk profile. Know which step you're in

🗳️ POLL: Is two-step pricing fair?

• 👍 Yes, the first investor earns it by taking the real risk

• 👎 No, it's an insider game that hurts everyone who comes later

• 🤷 Depends on how much the first investor actually helps

Typesafe ai

⚡ TL;DR

• TypeSafe's AI model Jev doesn't chat. It makes fast, cheap, structured decisions

• It's reportedly raising $1B+ at a $10B+ valuation about a week after a $200M seed

• The "$100M in 7 days" claim is Sequoia's, not the company's. Hype and traction aren't the same thing yet

If two-step pricing explains the system, TypeSafe is the most extreme example of it.

📅 The timeline:

• Sept 15: comes out of stealth with a $40M seed led by DCVC at a reported $200M valuation

• ~1 week later: The Information reports talks to raise $1B+ at $10B+

• Result: a roughly 50x re-rating in days. The round isn't closed and terms could change

So what does it actually do? TypeSafe was founded by former OpenAI researchers. Its model, Jev, doesn't generate text. It takes messy inputs and returns a structured choice or score with a confidence level. Think email classification, monitoring AI agents, or deciding which model should handle a request.

🔥 Hot or not? The claims vs. the caveats

🎯 What to do with this:

• Founders: the biggest opportunity may be the boring layer. Agents talking to agents need fast, cheap, predictable decisions, not essays

• Investors: first-week revenue tells you about curiosity. Month six tells you about retention

🗳️ POLL: Would you invest in TypeSafe at $10B?

• 🚀 Yes, this is the next infrastructure giant

• ⏳ Not yet, show me six months of retention

• 🫧 No, this is peak froth

Runway Growth Capital

⚡ TL;DR

• US venture debt hit a record $68.8B in 2025

• Growth-stage companies are borrowing because their equity has become too expensive to sell

• Debt speeds up a business that works. It doesn't save one that doesn't

While everyone watches the giant equity rounds, a quieter shift is reshaping how startups get funded.

🔢 The numbers:

• $68.8B in US venture debt in 2025, a record, up from $61.5B, according to Runway Growth Capital and PitchBook

• Deal count flat at about 1,000. The loans just got bigger

• Late-stage median loan: $10.8M. Average: $68.2M, a decade high in Q1 2026

• Growth-stage startups took 67% of US venture debt dollars, or $13.3B in one quarter

• SpaceX's debt grew from about $14B to $23B in a year

• Debt-backed companies made up 37% of total exit value in 2025

Why borrow when equity is flowing? Dilution. When your valuation is climbing fast, every share you sell today is expensive. AI companies are using debt for data centers and chips, where equity would cost too much.

Zoom out and it gets bigger. Private credit now manages more than $2 trillion and could reach $3.4 trillion by 2030, according to PwC. Saturday's Quartermaster deal, a $140M equity round plus a $40M debt facility, is the template.

But PwC also warns that private credit is entering its first real credit cycle, with technology among the sectors managers expect to show stress.

✅ Is venture debt right for you? Quick check:

• ☑️ You have predictable, recurring revenue

• ☑️ You know exactly what the money will grow

• ☑️ You'd rather pay interest than give up ownership

• ❌ You're borrowing to cover a gap you can't explain

Three checks and no ❌? Talk to a lender alongside your next round. Got the ❌? You're buying time, not growth.

⚡ TL;DR

• Kraken's parent Payward now offers retail investors tokenized shares at the IPO offering price

• The timing lines up with the SpaceX, Anthropic, and OpenAI listings

• Many "pre-IPO tokens" don't give you real ownership. Know what you're buying

For decades, buying an IPO at the offering price was a perk for institutions and private banking clients. Everyone else bought after the pop.

🚪 The new doors into private markets:

• Payward's xStocks: register before a US listing and get tokenized shares at the IPO price, backed one-for-one by real shares held by a regulated custodian

• OpenAI allocated $3B of a recent primary round to retail through intermediaries

• Two NYSE-listed venture funds now accept non-accredited investors

• The London Stock Exchange launched a regulated private stock market

• Reg CF and Reg A+ already let companies raise directly from their customers and community

Now the catch, and it's a big one. Not all "pre-IPO tokens" are equal. Many give you economic exposure to a company's value but no ownership, voting rights, or dividends. The SEC's January statement made it clear that tokenized securities are still securities, with all the same rules. And the hype has attracted presale tokens promising "pre-IPO access" for $10 that look more like crypto launches than investments.

🔍 Before you buy, ask these 3 questions:

1. Do I own the actual share, or a claim on someone else's?

2. Who holds custody, and are they regulated?

3. What happens to my money if the platform fails?

If you can't answer all three, walk away.

🗳️ POLL: Would you buy tokenized IPO shares?

• ✅ Yes, if they're backed one-for-one by real shares

• 🤔 Maybe, I need to see how the first few perform

• ❌ No, I'll stick to traditional brokers

⚡ Quick Hits

• 🧠 Meta's Muse is now free, and some VCs say consumer AI startups should retreat to enterprise and infrastructure

• 🤖 Instinct, fresh off a $1B raise at $10B, is betting the opposite: that a better product beats free

• 💼 Bain Capital Ventures' new $1.6B fund backs startups that sell finished work, not software seats

• 🇪🇺 European venture debt passed €21B this year, on pace for about 60% more than last year

• 📊 Startup M&A hit $56.6B in Q1, the third-best quarter since 2022, as acquisitions fill the IPO gap

• 📉 Product marketers are struggling to land roles. The fix: sharper positioning and showing how you'd solve the company's real problem

💬 What This Week Tells Us

Every story today comes down to one question: who gets the good price?

• 🥇 The first investor in a two-step deal

• 💼 The employee cashing out in a tender offer

• 🏦 The founder who borrows instead of diluting

• 🎟️ The retail investor who finally gets the IPO price instead of the pop

Private markets aren't closed anymore. But the gap between the best price and the worst has never been wider. Your job is to know which side of it you're on.

📣 Your turn

Pick one. Where would you put $10,000 right now?

• 🔄 A secondary stake in a top-20 private company

• 🏦 A venture debt fund

• 🎟️ Tokenized Anthropic shares at the IPO price

Hit reply with your pick and one sentence on why. We'll share the most interesting answers in Sunday's edition. 👀

📨 Know a founder raising right now? Forward this. The two-step pricing section alone could save them millions.

Hunt accordingly. ☕

Jose, Alberto, Mason & the Founderscrowd Team