How do we shut down SF's drug market? Start with the data. Five years ago, drug-dealing arrests hit a low: 1,780 a year. Three years ago, the city launched the Drug Market Agency Coordination Center, uniting public health and public safety for the first time. Arrests spiked to 3,223 under then-Commander, now Chief, Lew. Convictions tripled from 16% to 46% under DA Jenkins. It worked. The market shrank. Daytime dealing is gone. So what's stopping us from finishing the job? Adaptation. First, fewer dealers are left (good news!), with 1,948 arrested last year. But the ones who remain are harder to catch. They've switched from open dealing to drops and moved to nighttime, when police are stretched thin. Second, judges keep letting them go. Of 1,172 pending dealing cases last year, only 10% were held pre-trial. Over 1,000 dealers went right back to the street. To shut it down for good, we need to: 1. Put more police on the street at night 2. Launch a drug market intervention strategy that pairs prevention with enforcement 3. Hold judges accountable for releasing fentanyl dealers pre-trial 4. Change state law to treat fentanyl dealing as the deadly crime it is

Great to be in NYC! The team stopped by @Nasdaq to celebrate the first flight of our X1 demonstrator and our new agreement with @JSX. It’s been a year of real momentum for Heart and we’re just getting started. Thank you to JSX for your partnership, and to Nasdaq for the invitation and recognition.

Gumloop (YC W24) is building a platform that lets employees across a company build and share AI agents, while giving IT control over the data, permissions, and infrastructure behind them. Today it’s used by companies including Shopify, Gusto, and Instacart to automate work across sales, customer success, operations, and more. In this fireside, @gumloop co-founders @MaxBrodeurUrbas and @rbehal1729 joined @gustaf to share how they built Gumloop before models were ready for agents, then found product-market fit as the technology caught up. They talk about landing early enterprise customers, making companies AI-native, and why the people closest to the work should be the ones automating it. 00:00 — The AI Agent Builder for Every Team 03:38 — From Workflow Automation to Enterprise AI 07:20 — What It Takes to Win Enterprise Customers 11:02 — How the Founders Met and Got Into YC 15:00 — How Gumloop Uses Its Own Agents 18:02 — Landing Shopify and Rethinking Pricing 21:23 — Fundraising and the Limits of Staying Lean 24:35 — Letting Employees Automate Their Own Work 27:43 — Building Agents Companies Can Control 31:23 — Getting IT to Say Yes

Today we’re launching a mobile app that will make your next trip magical. ✨ We’ve helped 10,000s of travelers plan real trips, step-by-step. We’ve learned how AI can help you save time, money, and stress. We’ve used that knowledge to build an assistant that goes on your trip with you. Take a look at what it can do:

YC has the largest partnership in history now - 19 including me. We all went through YC and are alums and founders ourselves. I'm so proud to welcome Vivian and Raphael to the partnership.

We’re excited to welcome @vivianmshen and @raphaelschaad as YC’s newest General Partners! Vivian and Raphael first came to YC as founders. Vivian co-founded Juni Learning (W18), which teaches kids coding and math, and later founded Acely, an AI tutor for college prep. Raphael founded Cron (W20), the calendar app that became Notion Calendar. They built products used by millions of people, then returned to YC as Visiting Partners to help other founders. Now they're doing it full-time. ycombinator.com/blog/welcome…

Startup School is coming to Taipei on November 12! 🇹🇼 Hear from founders like @andyfang of DoorDash, @jeffchanginvest of Vest, @moseslo of Xendit, @mchiang0610 of Ollama, and more. And join builders and hackers from across Asia for a day of talks and sessions with YC partners.

This morning, @MaxJunestrand joined Bloomberg's The Opening Trade from their London studio. He walked through a Q3 that added 800 new customers in three months, bringing Legora's total past 2,300 across more than 80 countries, with more ARR added this quarter alone than the company's entire ARR at the end of 2025. Asked whether AI is costing legal jobs, Max's view was clear: legal work is supply constrained, and our customers are hiring more lawyers as a result. Better tools close the gap between the work that should get done and the work that actually does, while judgment stays with the lawyer. Watch the full interview below.

🇺🇦 General Biletsky's Vivaldi operation is Ukraine's most important win since 2022. It is also a clear playbook for how 🇺🇦 can fight and WIN a robotics war. The real success of Vivaldi is not how much land was taken back. It is the change in how the army works, and the use of robots. The 3rd Corps spent months fixing itself & their brigades. They changed commanders, rebuilt units, and improved how they scout, supply, and plan. Then they linked it all into one system - trained to play like the best symphony orchestra :) The first step was speed. They built a way to make decisions in minutes, not hours. The second step was a long campaign against Russian supply lines. They hit logistics so hard that fuel ran short — and without fuel, Russian drones and jamming systems lost power and support. It took 36,000 strikes to break Russian logistics during Vivaldi. The third step was beating Rubikon, Russia's best drone unit, in this area. The last step was secrecy. The whole operation stayed hidden for months, so Russia never understood the real plan. But the biggest new idea was simple: send machines in before people. Vivaldi used more than 15,700 ground-robot missions. Heavy bomber drones even carried kamikaze ground robots more than 10 km behind enemy lines. The idea is to give the first and most dangerous jobs to machines — clearing obstacles, opening routes, making the enemy show his sensors, carrying supplies, and evacuating the wounded. This keeps soldiers safer. Air robots and ground robots are starting to work as one system — a real robot army. This is the most important lesson, because it can be repeated for the 2026 robotics war. Vivaldi also matters for morale. It proves Ukraine can still win locally and push the line forward. In a robotics war, big operations like the Kharkiv or Kherson liberations are very unlikely. Most wins will be slower, smaller, and add up over time. That is why Vivaldi matters so much. Many things the 3rd Corps did — faster decisions, better command, joined-up drones and logistics, robots, secrecy, and hitting one weak spot — can be copied across Ukraine. It is much harder for Russia to reach the same quality. The real win is a fully connected system, not a few separate tools. The 3rd Corps has shown how to break a frozen front — and what the first human-machine warfare will look like.

I was in the Bloomberg studio in London this morning. Q3 was the most hectic quarter in @WeareLegora's history. We added 800 new customers in three months and now work with more than 2,300 across 80+ countries. We also added more ARR this quarter than our total ARR at the end of 2025. I was asked the jobs question, and my answer hasn't changed: our customers are hiring more lawyers. Legal is supply constrained. If you could review every contract, you would. If you could run full diligence on every asset before it goes to investment committee, you would. Better tools mean more of that work gets done, and a lawyer still owns the judgment. We talked about junior lawyers wondering whether they need to learn to code. With large language models, the programming language is English. I'm not especially good with words. Lawyers are, and they turn out to be some of the best drivers of our product. I've said it before, and I'll say it again: I think this is the best time in history to be a lawyer. Thanks @TomMackenzieTV for having me on The Opening Trade. Full interview below.

China's diesel consumption fell ~12% in H1 2026. Gasoline demand dropped ~8%. EV truck sales grow faster than EV auto sales in China! US diesel truck pays ~$101 to go 200 kilometers, while an EV truck in China pays $21! Energy security drives EV. bloomberg.com/news/features/…

Live from DC with NASA Administrator Jared Isaacman (@NASAAdmin) x.lingyaoai.com/i/broadcasts/1jGXgBpjE…

The Startup Industrial Base: Building for the Next 250 — Washington, D.C. x.lingyaoai.com/i/broadcasts/1jGXgBpjE…

We're hosting an evening in SF with @oakhcft and π for early-stage builders in physical AI: robotics, autonomy, and intelligent hardware. Join us for a fireside chat with @physical_int co-founder @QuanVng on what it takes to build in the physical world. events.ycombinator.com/yc-oa…

SECRETARY RUBIO on AMERICA.GOV PASSPORTS: No printing forms, no drugstore hostage photo, no appointment, no line, no middleman that you're paying to do something that should be available to you.

It turns out that hosted OpenClaw was a really good idea

Founders @jordan_dearsley and @nikhilro_ sat down with @gustaf at YC to tell the Vapi story. Many pivots, including a Zoom button and AI therapy, led to voice agents. Now a billion calls a year and the goal to help every business build a human interface. piped.video/watch?v=2otGNwNO…

OpenScience runs on a custom harness built for scientific workloads: domain-specefic skills, native access to scientific databases, and remote execution on GPUs and HPC clusters. This makes it state of the art on agentic science benchmarks, with any model you choose.

Happy Petrov Day

One of the biggest surprises in AI over the last few years has been how well coding agents generalize beyond software. In a recent essay, MIT professor Philip Isola argued that we may be entering the era of robot-use agents: general-purpose models that can control different robots, write policies, and learn new physical tasks with little or no robot-specific training. In this episode of Decoded, we're joined by the founders of @theWaddleLabs and @Robocurve, two of the startups whose work helped drive this realization. They're working at the frontier of using general-purpose models to control robots, and their recent demos helped inspire the growing conversation around robot-use agents. Together, we dig into the research behind that idea, from code-as-policies and vision-language-action models to the harnesses and evals needed to make these systems work in the real world. 00:00 — What Are Robot-Use Agents? 02:11 — From Vision-Language-Action Models to General LLMs 04:07 — The Bitter Lesson for Robotics 07:04 — How Coding Agents Learned to Control Robots 10:41 — How Robots Learn From Experience 14:22 — The Harness as a Form of Robot Intelligence 16:14 — Watching Astra Control a Robot 20:55 — Why General Models May Win in Robotics 26:05 — How Close Are General-Purpose Robots?