Teslas sold out in the U.S. for 2026 (new orders): • Model 3 RWD • Model Y L Launch Series Teslas almost sold out in the U.S. for 2026 (new orders): • Model Y RWD • Model Y AWD

DigitalOcean Managed Agents is now in public preview. Run Claude Code, Codex, or your own LangGraph agent in a runtime environment that pauses when idle. Put its tools behind one governed endpoint, and pick from 75+ open and proprietary models. One cloud, one bill. Prompts to get started available in the blog:

Teslas sold out in the U.S. for 2026 (new orders): • Model 3 RWD • Model Y L Launch Series Teslas almost sold out in the U.S. for 2026 (new orders): • Model Y RWD • Model Y AWD

EXCITED TO LAUNCH: Akai ( Deel added >$140M ARR in 90 days without increasing headcount by automating~600 Full Time Employees' equivalent in work with Akai. Akai was an internal tool to automate our painfully repetitive operations in Finance, HR, Accounts Payable, and Compliance, etc. We never intended to make this a product. But we watched revenue per employee grow from $130K to $215K We built >8k agents that do the work of ~600 employees It had such a dramatic impact on our business that today we are launching it for everyone. How it works: Say you're automating payment reconciliation: 1. Record your screen while manually matching a messy transaction and Akai will capture your screen, voice, server requests 2. Akai will see that you pulled unformatted wire transfer info from an archaic bank portal, put it in some excel sheet, checked NetSuite invoices, payment history, and put a ticket on Zendesk 3. Akai reads between the lines and build a workflow + steps + conditional guardrails. It learns tacit edge cases, like resolving malformed invoice references without you writing a single regex 4. Simply connect NetSuite, your ledger, Zendesk, PSPs, and even legacy bank portals with zero API access 5. Run the workflow and tell it what to adjust in plain English: "strip slashes on wire memos and auto-apply partial payments." It adapts instantly 6. Once it works for you, add 100s of colleagues. Your entire payment ops team forks and extends the workflow for new PSPs, secondary ledgers, or regional settlement rules 7. We automated 85% of our payment reconciliation end to end, eliminating 500+ hours of soul-crushing manual grunt work every single week. Claude Code/Codex can't do this in multiplayer mode. Every person rebuilds the same skill from scratch in their own way. Deel built Akai to: 1. Understand backend operations edge cases (it had to work for our 7000 person team first) 2. Collaborative across 1000s of employees 3. Self-Learning from millions of runs 4. Optimises cost and gets cheaper every run We're so confident that we're announcing an Automation Guarantee: If our engineers can't automate a thousand of hours of work in your first 30 days, you get a full refund. Book a demo: if you're an exec at a company with hundreds of employees

China is winning the AI race. So we raised $12M from @8vc to build thousands of new AI data centers in America. Here's what will make the AI bubble pop: Data centers are needed for AI. Every invoice to build a data center is hundreds of millions of dollars and thousands of pages long. The finance teams that need to approve these invoices are drowning. The entire AI race is being bottlenecked by human approval. AI should fix this. That's why we’re launching Kos. Kos is a team of AI agents that work the way humans work. Tag Kos in Microsoft teams, or get on a Zoom call. It doesn't hallucinate, and it has verifiable proof for it's work. Kos is purpose built AI for Datacenter, Energy, and Manufacturing Finance. Think Harvey but instead of for law, it's specialized for Finance. Book a demo here: ------ We’re backed by the founders and C-Suite of billion dollar companies: Keith D. Taylor (former Equinix CFO), Dave Ferdman (CyrusOne Founder), Heather Paduck (STACK Infrastructure CFO), Matthew DeNezza (former Crusoe CFO), and @sk7037 (Stanford, OpenAI). Our institutional investors are @8VC, led by @AlexKolicich, XYZ (@fubini), MVP (Alex Li) ------ One more thing, I made a huge notion doc on everything I learned building my last company (SpotAI) to >$100M in sales and funding. I give away my secret framework to find the right market, my exact interview process, and how to close enterprise deals. If you want it, just let me know and I'll shoot it over :)