Polsia just raised $30M at a $250M valuation. Approaching $10M annual run rate. One Founder AI. Zero employees. Polsia runs companies autonomously. It also ran its own fundraising. I just showed up for signatures.

New for financial services: ready-to-run Claude agent templates for building pitches, conducting valuation reviews, closing the books at month-end, and more. Install them as plugins in Cowork and Claude Code, or use our cookbooks to run them in production as Managed Agents.

Scrolling is on the decline More charts: a16z.news/p/charts-of-the-we…

Imagine every pixel on your screen, streamed live directly from a model. No HTML, no layout engine, no code. Just exactly what you want to see. @eddiejiao_obj, @drewocarr and I built a prototype to see how this could actually work, and set out to make it real. We're calling it Flipbook. (1/5)

Sierra co-founder @btaylor says the era of web apps is over: "We made these databases, these systems of record in the 80s and 90s. And then as the web browser came out, we said, 'We're going to give you some forms and fields in the web browser to manipulate these systems of record.'" "Now we think, in the future, most people are just going to be talking to AI agents, and they're just going to be performing those actions on your behalf."

Every B2B software company is (or should be) building a "headless" version of their product. One that can be used by agents. But "headless" doesn't mean "brainless". You don't just wrap your existing APIs into an MCP server and call it a day. The companies that succeed in the agentic era are those that take a thoughtful approach to *designing* an agentic user experience (AUX). Yes, that will likely involve APIs, MCPs and CLIs. But the difference will be in the *ergonomics* of the interface. We need to figure out *how* agents actually want to use our products/platforms. Because if all they wanted to do was use them like humans do, we have "computer use" for that. I'm personally very excited about this new agentic world when it comes to B2B software. HubSpot is all-in on building the #1 agentic customer platform. Just posted this in a private Slack thread with the HubSpot exec team: Being agentic is not just about agents running *on* our platform, it's about agents *running* our platform (being able to operate it). That's how you take AI from being a simple tool to a savvy teammate.

Another week on the road meeting with a couple dozen IT and AI leaders from large enterprises across banking, media, retail, healthcare, consulting, tech, and sports, to discuss agents in the enterprise. Some quick takeaways: * Clear that we’re moving from chat era of AI to agents that use tools, process data, and start to execute real work in the enterprise. Complementing this, enterprises are often evolving from “let a thousand flowers bloom” approach to adoption to targeted automation efforts applied to specific areas of work and workflow. * Change management still will remain one of the biggest topics for enterprises. Most workflows aren’t setup to just drop agents directly in, and enterprises will need a ton of help to drive these efforts (both internally and from partners). One company has a head of AI in every business unit that roles up to a central team, just to keep all the functions coordinated. * Tokenmaxxing! Most companies operate with very strict OpEx budgets get locked in for the year ahead, so they’re going through very real trade-off discussions right now on how to budget for tokens. One company recently had an idea for a “shark tank” style way of pitching for compute budget. Others are trying to figure out how to ration compute to the best use-cases internally through some hierarchy of needs (my words not theirs). * Fixing fragmented and legacy systems remain a huge priority right now. Most enterprises are dealing with decades of either on-prem systems or systems they moved to the cloud but that still haven’t been modernized in any meaningful way. This means agents can’t easily tap into these data sources in a unified way yet, so companies are focused on how they modernize these. * Most companies are *not* talking about replacing jobs due to agents. The major use-cases for agents are things that the company wasn’t able to do before or couldn’t prioritize. Software upgrades, automating back office processes that were constraining other workflows, processing large amounts of documents to get new business or client insights, and so on. More emphasis on ways to make money vs. cut costs. * Headless software dominated my conversations. Enterprises need to be able to ensure all of their software works across any set of agents they choose. They will kick out vendors that don’t make this technically or economically easy. * Clear sense that it can be hard to standardize on anything right now given how fast things are moving. Blessing and a curse of the innovation curve right now - no one wants to get stuck in a paradigm that locks them into the wrong architecture. One other result of this is that companies realize they’re in a multi-agent world, which means that interoperability becomes paramount across systems. * Unanimous sense that everyone is working more than ever before. AI is not causing anyone to do less work right now, and similar to Silicon Valley people feel their teams are the busiest they’ve ever been. One final meta observation not called out explicitly. It seems that despite Silicon Valley’s sense that AI has made hard things easy, the most powerful ways to use agents is more “technical” than prior eras of software. Skills, MCP, CLIs, etc. may be simple concepts for tech, but in the real world these are all esoteric concepts that will require technical people to help bring to life in the enterprise. This both means diffusion will take real work and time, but also everyone’s estimation of engineering jobs is totally off. Engineers may not be “writing” software, but they will certainly be the ones to setup and operate the systems that actually automate most work in the enterprise.

This might be the most unhinged AI video I've ever seen.

My dear front-end developers (and anyone who’s interested in the future of interfaces): I have crawled through depths of hell to bring you, for the foreseeable years, one of the more important foundational pieces of UI engineering (if not in implementation then certainly at least in concept): Fast, accurate and comprehensive userland text measurement algorithm in pure TypeScript, usable for laying out entire web pages without CSS, bypassing DOM measurements and reflow

NEW EPISODE: @jack & @roelofbotha unpack @blocks 40% staff cut and rebuilding the entire company as a mini-AGI. This isn’t “use AI to make people more productive.” It’s making the company itself the intelligence. If you’re a founder or operator wondering what work looks like in the next 5 years… this is the episode. The evolution looks like: • Manager mode = Pyramid 🔺 (command & control) • Founder mode = Flat ➖(founders decide fast) • Dorsey mode = Circle 🔵 w/ AI at the center, humans at the edge, and decisions flow from customer inputs → AI → humans steering it I’ve tried killing org charts before. Brutally hard. But we never had these tools. This is rewriting the CEO playbook for the AI era. Buckle up. 00:00 Existential Dread & Hope 02:56 AI Replaces Hierarchy 07:22 Block’s New Three Roles 26:47 Flattening the Company, Fast 35:23 Getting the Board to Buy-In, Fast 36:50 Building a Great Board 41:29 Founder CEO Lessons 48:18 Second Acts & Conviction 56:22 Timeless CEO Traits

Proud to share my two original BTC analysis tools: 1️⃣43A6’s ₿itcoin Oscillation eXtreme Evaluation Radar(BOXER): docs.google.com/spreadsheets… 2️⃣43A6’s ₿ull Market Peak Indicator Long List (BMPILL) Want more details? Follow and repost! For the BTC hardcore holders.

🚨 ProtonMail dévoile une fonctionnalité permettant à ses 100 millions d'utilisateurs d'envoyer du Bitcoin de manière transparente en utilisant simplement une adresse e-mail.

the new startup playbook looks NOTHING like the old one: – most of your team will be part-time contractors, creators, and ai agents – your first $1m will come from niching down. your next $10m will come from tastefully scaling out – one agent spins out 50 longtail SEO pages from transcripts, support tickets, or user reviews – startups are turning into QVC. except this time, you own the channel and the product – onboarding will feel like texting a friend. static forms are dead – every landing page rewrites itself based on who's viewing it (claude or chatgpt-4o session data) – every successful company will feel like a subculture. the product is just a portal in – outbound are agents scraping, qualifying, and writing personalized intros 24/7 – customer support = 1 human backed by 5 lindy agents trained on every support ticket ever written – micro-apps will outperform mega-tools. specific > general – growth isn’t an afterthought. it’s built into the product (agent-invite loops, ai-powered referrals) – if your product doesn't spark curiosity in 2 seconds, it’s invisible – the best products of the next decade will be memes first, software second – “launch” is outdated. leak it instead – the new pricing model: $0 to play, $x to unlock identity – you won’t sell software. you’ll sell outcomes, transformations, identity upgrades – more people will leave big tech to build solo. not out of rebellion, but because their side hustles are more interesting – the best homepages become a scene. your standard shadcn websites won’t hit the same – default alive is low burn, small team, owned audience, high-leverage systems – competitor research happens automatically. agents scrape, cluster, and surface positioning gaps – your CRM isn’t stale. agents log calls, summarize deals, and write follow-ups before you hang up – venture capital is optional – customer success isn’t reactive. agents predict churn based on tone in support chats and usage – we’ll see more “tiny empires”: one founder, one audience, and a constellation of tools they own – bug reports are summarized, tagged, prioritized, and triaged by an agent before eng ever sees them – IRL matters. founders become event planners – most SaaS is overbuilt. the next wave wins by subtracting – if your product can't be explained in a screenshot, it won't spread – the creative director is the new power hire. taste is now a growth lever – churned users get a custom winback campaign built by an agent based on why they left – knowledge base builds itself from slack threads, loom links, and discord q&a (agents gpt vision) – product feedback loops are instant. users speak → agents summarize, prioritize, and mock ui changes – most startups will die trying to be “all-in-one.” the winners do one weird thing stupidly well – startup advice used to be: find a technical cofounder. now it’s: find a distribution edge – your product isn’t finished when it works. it’s finished when people want to wear the hoodie – the people who win distribution will own demand. the rest will rent it if this felt like a glimpse into the future, it's because it is. instead of bookmarking this, share it with a friend, and start building. you don’t need permission to build like this. you just need to start. most people will ignore this. but this is the new reality... small teams, infinite leverage. Happy building. I'm rooting for you.

I stumbled upon cocommit, reminded me of coComment 🤓 github.com/andrewromanenco/c…

12 Rules to Vibe Code Without Frustration, by @petergyang creatoreconomy.so/p/12-rules… 13. Take breaks to avoid burn out and depression 😅

Insomnia = specifications 🤙 Dreaming of BitsLetter, my new app