Brandon Ong

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Introducing: PlayerZero The world's first Engineering World Model that puts debugging, fixing, and testing your code on autopilot. We've raised $20M from Foundation Capital, @matei_zaharia (Databricks), @pbailis (Workday), @rauchg (Vercel), @zoink (Figma), @drewhouston (Dropbox), and more PlayerZero frees up 30% of your engineering bandwidth by: 1.⁠ ⁠Finding the root cause for bugs & incidents in minutes that engineering teams take days to identify. 2.⁠ ⁠Predicting in minutes, edge case issues that a 300-person QA team would take weeks to find. ------ Here's why this matters: No one in your org has a complete picture of how your production software actually behaves. Support sees tickets. SRE sees infra. Dev sees code. Each team builds their own fragmented view - and none of these systems talk to each other. When something breaks, everyone scrambles to stitch the picture together by hand. PlayerZero connects all of it into a single context graph - → The Slack thread where your lead said "we went with X because Y fell apart in prod last time" → The PR review where an engineer explained the tradeoff → The lifetime history of your CI/CD pipeline, observability stack, incidents, and support tickets So you can trace any problem to its root cause across every silo. And it compounds. Every incident diagnosed teaches the model something new. The longer it runs, the deeper it understands - which code paths are high-risk, which configurations are fragile, which changes tend to break which customer flows. So when you sit down to debug a live issue, you have your entire org's collective reasoning and production memory behind you - instantly. ------ Zuora, Georgia-Pacific, and Nylas have reduced resolution time by 90% and caught 95% of breaking changes and freeing an average of $30M in engineering bandwidth. ------ Our guarantee: If we can't increase your engineering bandwidth by at least 20% within one week, we'll donate $10,000 to an open-source project of your choice. Book a demo - bit.ly/3NlLMeN

Our team @a16z calculated AI adoption per capita across the world. The results were surprising. The U.S. leads AI development...but it ranks down at #20 in adoption. At the top? Singapore, Hong Kong, the UAE, South Korea, and much of Europe 🤯

Today, we're announcing @join_EF's Series D: $200M of fresh capital, at a unicorn+ valuation. We're in a golden age of entrepreneurship. More individuals than ever before are taking the leap, with the world's most transformative technology at their fingertips. For over a decade, we've backed extraordinary people without asking what idea they're working on. We call this Talent Investing; believing in someone from Day 1 and giving them the peer group, environment, and capital to find their life's work. And it works! Companies built through EF are now worth $16bn, up from $3bn at our last raise in 2021. Thank you to our investors for their continued belief, the EF team for bringing this vision to life, and the founders who rejected the status quo to build globally important companies with us. And, of course, a huge thank you to @matthewclifford, my exceptional cofounder.

we (w/ @Aufa_HR) won 1st place at the @GeminiApp Singapore Hackathon! your agent has taste. it's leaking into yours. Gemini's favorite color is indigo. Lyria's favorite genre is hip-hop. if you're not overriding these defaults, your agent is designing for you.

1/ General-purpose robotics is the rare technological frontier where the US / China started at roughly the same time and there's no clear winner yet. To better understand the landscape, @zoeytang_1007, @intelchentwo, @vishnuman0 and I spent the last ~8 weeks creating a deep dive on humanoid robotics hardware and flew to China to see the supply chain firsthand. Here's everything we've created + our takeaways about the components, humanoid comparisons, supply chains, and geopolitics👇

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Wrote a blog post about my journey here. Has some scalability limitations & will fix them soon. Appreciate any pointers/feedback! jytan.io/blog/firecrack…