A message for recent YC founders

Introducing a Design System Agent, powered by Fable 5. Sync your components, typography, spacing, colors, rules. Share with your team, design anything. Watch me change everything within Duolingo's design system on @magicpatterns:

We offered 4 engineers $100,000 to break Artie. They tried everything. Schema changes. 10M-row updates. TOAST columns. Database version upgrades. Data type changes. Watch what happens 👀 Artie is a real-time data pipeline that streams your database changes into your warehouse with sub-minute latency and no infrastructure to manage – built to handle what actually breaks in prod. Sign up today and try it yourself: go.artie.com/signup Repost and comment ‘Artie’ and we'll DM you $10,000 in credits ⬇️

It can be hard to recognize the downsides of short-term thinking without having personally experienced the aftermath.

What it takes to reach $100B Fewer than 0.1% of startups will ever be worth more than $100B, but those that do will have an outsized impact, so it’s worth understanding which companies have the potential and what it takes to get there. Examining the history of these massively successful companies, it becomes clear that there are two ingredients necessary to reach $100B. First, they must be building in a rapidly growing market of unlimited size. For example, Microsoft, Apple, Intel and AMD all emerged as part of the exponentially growing microcomputer market. These companies started when microcomputers were still relatively new and obscure. Micro-soft’s first product, Altair BASIC, was incredibly niche — MITS only ever sold about 25,000 Altairs, but that was the start of what is now a $3T company. Likewise, Amazon, Google, and Facebook all became $T companies by growing with the Internet. Stripe ($160B) makes this dynamic explicit in its mission statement: “Our mission is to increase the GDP of the internet”. Why now? $100B opportunities only exist for a limited time. If a company could have been started 20 years earlier, then it’s unlikely to have $100B potential. Important new technologies create massive new opportunities, but those windows of opportunity don’t last forever. For example, it was not possible to start Uber or DoorDash five years earlier because mobile platforms such as the iPhone did not yet exist, and it wasn’t possible to create them five years later because the opportunity had already been captured. Large but slow growing markets rarely produce $100B companies. For example, startups selling to dentists or auto mechanics are not good candidates to reach $100B. A simple test is to ask if demand will increase 10x or 100x in the next ten years. Startups thrive when capturing a slice of a rapidly growing pie, not fighting zero-sum games against incumbents. The second ingredient is defensibility, a durable control point in the market. If your company is making billions of dollars, that will attract a lot of interest from potential competitors. This defensibility is typically provided by one or more of the following dynamics: - Marketplaces like Amazon, Google, Facebook, and Uber aggregate supply and demand. - Platforms like Apple, Microsoft, NVIDIA, Salesforce, and OpenAI provide a foundation for large ecosystems to grow. - Foundational infrastructure companies like TSMC, AWS, Stripe, and Arm become hard-to-replace dependencies. - Workflow systems like ServiceNow, Intuit, SAP, Oracle, and Workday become the default systems of record and action. - Deep tech companies like ASML, Tesla, and SpaceX require extraordinary technical, manufacturing, operational, regulatory, and capital execution to reproduce. Competing head-on with these companies is nearly impossible. They effectively “own” their slice of a large and rapidly growing market, which earns them high revenue multiples, lower cost of capital, and the ability to acquire smaller companies and hire top talent. Probably fewer than 1% of startups have the potential to reach $100B, and of those, fewer than 10% will ever realize that potential. However, it is our belief that we can improve those odds by building a community of the most impressive founders working on the most ambitious ideas. We are creating the “$100B Seed Group” to bring together these early founders in our group office-hours format, to periodically meet, review, revise and strategize their Path to $100B. Apply now if you would like to be a part of the program. The first cohort will be limited to 10 companies. Any startup from YC P26, W26, F25, or S25 is eligible. Applications are due by May 28th at 9pm PT. standardcap.com/100billion

YC founders from P26, W26, F25 and S25, this is for you 👇

Today, we're launching Screens on @magicpatterns A bird's-eye view of your entire design, like Figma, but everything is interactive and code-first. Our agent will intelligently lay out screens for you. We believe this is the future of design tooling.

Over 1 billion PDFs are created every day, but your agents still can’t read them reliably. Today we’re releasing Parse 2.0, the most accurate document parsing API in the world. Extend already processes millions of pages daily for leading AI teams like Brex, Mercury, Opendoor, Flatiron Health, and hundreds of others. Now, its even better. Parse 2.0 is SOTA quality on RealDoc-Bench, our open source benchmark that measures agent success rate on real world docs that agents actually encounter in production. We trained Parse 2.0 on 1M pages of the hardest documents seen in production. Here’s how it stacks up: - #1 in healthcare, real estate, logistics, and financial services - 95.7% agent Q&A accuracy on 581 docs (next best: 92%) - 0.847 F1 on layout (next best: 0.759) Give it a try today and build production-ready document agents with Extend.

Only YouTube channel where I watch 100% of what they post. @daltonc and @mwseibel easily have the most useful advice per minute for early stage founders.

Announcing fully autonomous AI agents for internal tasks. Hire a general AI agent for IT, compliance, and procurement. Starting at $5/hour. See use cases below.

Today, I'm thrilled to disclose Voker’s $2.2M in pre-seed funding from @ycombinator and @FundersClub. I’ve watched product teams ship AI agents with zero visibility into whether they're actually working. Logs don't tell you if your agent is helping users. You can't review 10,000 conversations manually. And metrics don't appear on their own. That's why we built Voker.

It's hard to believe you are prepared for a problem you haven't spent any time considering could be a problem

It’s possible to get so deeply embedded in optimizing for the wrong thing that one is completely unaware they are doing it. It’s like the fish saying “What the hell is water?”

Trigger is growing faster the bigger it gets via a combination of their existing customers growing the product rapidly improving which attracts new customers and usecases♻️

Removing constraints rarely makes decision making easier.