🕶️ $113M to babysit your AI agents

Good morning, champions of controlled chaos.

When one company's single month beats its entire previous quarter and another raises nine figures to install brakes on AI, you're watching the same story from opposite ends.

OpenAI is accelerating so fast it's lapping its own benchmarks. Onyx just made $113M betting enterprises will pay handsomely to slow things down. Both are right. Growth and governance used to take turns. Now they're the same budget meeting, and the founders who understand that timing will own the next twelve months.

Last month, 48% of visitors to documentation sites across Mintlify were AI agents, not humans.

Claude Code, Cursor, and other coding agents are becoming the actual customers reading your docs. And they read everything.

This changes what good documentation means. Humans skim and forgive gaps. Agents methodically check every endpoint, read every guide, and compare you against alternatives with zero fatigue.

Your docs aren't just helping users anymore. They're your product's first interview with the machines deciding whether to recommend you.

That means: clear schema markup so agents can parse your content, real benchmarks instead of marketing fluff, open endpoints agents can actually test, and honest comparisons that emphasize strengths without hype.

Mintlify powers documentation for over 20,000 companies, reaching 100M+ people every year. We just raised a $45M Series B led by @a16z and @SalesforceVC to build the knowledge layer for the agent era.

Make Your Docs Agent-Ready

Enterprises are finally budgeting for saying “no” to their own AI. Onyx’s new round makes governance for autonomous agents look less like checkbox compliance and more like core infra.

The startup raised $113M at a ~$640M valuation to sit as a “secure AI control plane” between agents and production systems, inspecting every step of their reasoning and blocking bad actions at runtime. It already watches over 1.1M+ agents and 66M real-time sessions across regulated, Fortune 500-heavy verticals.

This is the bet that the real money in AI isn’t just building agents, but arbitrating their access. For any product that touches AI workflows, the bar just moved: buyers will expect a single chokepoint for agent actions and a clear story on keeping humans in control.

💸 Most people think stock options are free money.
They’re not.

Employee stock options are one of the most misunderstood parts of startup compensation — by both founders and employees. In this episode, we break down what they actually are, what they’re worth (usually nothing at first), and how they can become life-changing… or completely useless.

OpenAI’s finance chief just slipped an important tell: July’s annualized recurring revenue is already above the entire second quarter, according to an internal meeting detailed by CNBC. For a company already north of ~$25B ARR, that implies growth re-accelerating, not decelerating, under heavy competitive fire.

The spike is tied to the GPT-5.6 launch wave, ChatGPT Work, and Codex’s catch-up in coding; classic “new SKU” growth rather than pure price hikes. That’s the playbook for every infra-heavy AI business trying to justify enormous capex.

OpenAI is still aiming to spend $600B on compute by 2030. If July’s numbers hold, the message to boards and LPs is simple: AI revenue remains volatile, but the ceiling keeps moving higher, fast.

Scale your growth: Join names like HubSpot, Ahrefs, and Deel. Put your product in front of 85,000+ startup founders. Let's talk.