Been seeing some SF coffee tier lists floating around, and coffee is like 50% of my personality so heres mine. SF has maybe the best coffee scene in America, mostly because of the density of talented baristas (SF consistently places top 5 in the US barista championships!)

The 🐐 agent crunchwrap back with a banger

I estimate the number of agents per user will keep doubling every six months. Here's a look at some of the runtime changes we made to handle that growth.

Droid has consistently been the best place to work with any model. We've come a long way from our terminal bench #1 placement across all models a year ago, and the team has been cooking on making improvements across all vectors where models currently show inefficient behavior.

@FactoryAI builds Factory on @droid, and Finance is still one of the biggest internal users. Here are a few examples of how a lean team is building finance from the ground up on Factory, automating financial operations end to end:

Very excited to welcome @sonofalli as VP of New Media and Startups Marketing at @FactoryAI.

its time.

We're excited to share our customer story with @claudeai featuring Factory co-founder and CEO @matanSF. We cover topics like how @AnthropicAI frontier models in @Droid are enabling engineering teams to handle long-horizon tasks across large codebases, what it will take to build a fully autonomous "dark factory" for software, and more. youtube.com/watch?v=N6FkmdL0…

Factory now supports @Jira delegations. Delegate tasks and sub-tasks in Jira to Factory, and Droid will start running.

Nathan Fielder is just going to recreate the truman show for s3 of the rehersal

The Rehearsal season 3 was absolutely batshit crazy, where does he go from here

As the world’s largest alternative asset manager, @Blackstone requires the highest standards of deployment flexibility and governance. Factory made it possible to operate agentic software development within Blackstone’s own data centers without compromising model choice or workflows.

how I scaled my design workflow for a global billboard campaign that is live in NYC, Tokyo, London, and cities around the globe using coding agents in @FactoryAI 🧵🧵🧵 this thread is focused on using coding agents to reformat design assets for dozens of billboard panels that are often grouped, cropped, and placed in unexpected ways and less about designing the original motion graphics concept (which was created using a combination of generative AI video footage, and overlay graphics created with code / figma). Before coding agents, formatting all of these panels to spec would take hours / days of non-creative work...

Since this blew up, self plug for the only objectively and not at all biased S+ coffee popup in SF (and we have some great bagels too): instagram.com/mint.manor/

For the best pour overs, go to Kope House or TCM. For vibes, hedge has a gorgeous space. The pop up scene in SF is also great and showcases the care people put into the craft of coffee (self promo follow instagram.com/mint.manor/). Other favorites in the bay include The Crown in Oakland and the best cortado ive ever had was at Kaizen in San Mateo. All of these places deserve a try, the coffee here really is just that good.

Pictured: @walk_hild helping a drone in our office find its way to its own cloud environment

Birds aren’t real

Factory is a product company. In a year when a lot of smart money is betting on neoservices that is starting to sound contrarian. The AI wave makes it tempting to sell outcomes and deliver them with people. We think the bigger opportunity is software that gets better every time it's used. That's what we build for our customers, and it's how we run Factory. The products we build should help our customers build their own capacity to ship better software, faster. We think of the product as everything from the first time you hear about Factory through your Nth renewal. Building the right product starts with the old advice: listen to your customers' problems, not their solutions. In 2023, many people believed we should have built autocomplete. We understood that we instead had to build toward self-improving software and software factories, since that is what would come next. That is our product goal: self-improving software, which continuously improves from the data feedback loop of its users. Self-improving software doesn't happen on its own. You have to be data-backed and optimize the signal → deploy loop. That requires a software factory operating continuously and evolving alongside the software it produces. The factory also has to know what good looks like. It has to help the organization extract its tacit knowledge and embed it into the software that operates the business. Taste is not sufficient. You must enforce the unique decisions that define your product. And it doesn't stop at the product. The entire company is going to be defined by software that listens to the rhythm of the business and enforces it. The clear goal of a leader is to ensure the quality and correctness of these systems. We run Factory this way. Our unique product and technical decisions are codified as customizations to our harness, automations, CI/CD, lint rules, etc. Factory agents sit in our shared Slack channels, where they build context and execute tactical work on demand. It also changes how we organize. Your Engineering, Product, and Design team will ship your org chart, so you must design an organization where incentives are maximally aligned. Our pod structure maps directly to our product taxonomy, which gives each pod deep expertise and agency. We work carefully to make sure the product feels cohesive and not like multiple disconnected teams. This is not easy, and we still haven't perfected it. We keep the minimal number of layers between leaders and the organizational lines. 1:25 is not unreasonable for a true people manager. Our product operating system is itself self-improving software. It aggregates feedback, tracks launches across the team, and organizes our work. With it, our Head of Product @TaylorTheSavage runs a product surface that would otherwise require an army of PMs with just a handful of high-ownership, high-leverage ones. When an org is designed this way, its impact scales with software, not headcount. That is the real difference between a product company and a services company. Selling outcomes is right. Delivering them with people is services. Neoservices arbitrage the gap between how fast the technology moves and how fast buyers adopt it, and some will become large businesses. But that gap closes every time a product company sells the same buyer a better long-term solution. The market already knows how to value services: Infosys does about $20B in revenue and trades at roughly 2x, not 50x, and it's down about 40% this year. Being a product company is harder. @danlovesproofs once told me something I very much agree with. Product companies are like movie studios. You have to keep producing blockbusters, and that helps you build talent, brand, and resources. Gone are the days when you could coast on one hit. Do that, and you'll be acquired by Bending Spoons at a fraction of your value. The war is always being waged, and no winner is ever truly ahead by much. And demand for the movies is up. That's true even against the model labs. There is a value gap between the models and outcomes for users. Anyone can close that gap, and there's no reason to believe any company has an automatic right to win the products that matter most. If anything, access to the full pareto frontier of cost and quality gives model-independent, product-focused companies a focus, cost, and quality advantage. If someone asked me what to build today, I'd say go build a product company. It is harder, but the biggest outcomes are only possible through product.