惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Forbes - Security
Forbes - Security
T
Troy Hunt's Blog
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
H
Hacker News: Front Page
TaoSecurity Blog
TaoSecurity Blog
PCI Perspectives
PCI Perspectives
K
KPMG report finds enterprise disconnect between AI and its ROI | CIO
V
Vulnerabilities – Threatpost
博客园 - 【当耐特】
V
Visual Studio Blog
N
News and Events Feed by Topic
Security Archives - TechRepublic
Security Archives - TechRepublic
V
V2EX
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
Recent Commits to openclaw:main
Recent Commits to openclaw:main
Exploit-DB.com RSS Feed
Exploit-DB.com RSS Feed
WordPress大学
WordPress大学
T
Tor Project blog
钛媒体:引领未来商业与生活新知
钛媒体:引领未来商业与生活新知
美团技术团队
P
Proofpoint News Feed
A
Arctic Wolf
C
CERT Recently Published Vulnerability Notes
Last Week in AI
Last Week in AI
T
Tenable Blog
K
Kaspersky official blog
爱范儿
爱范儿
S
Security @ Cisco Blogs
Spread Privacy
Spread Privacy
大猫的无限游戏
大猫的无限游戏
Jina AI
Jina AI
博客园 - 三生石上(FineUI控件)
T
Tailwind CSS Blog
S
SegmentFault 最新的问题
Security Latest
Security Latest
T
The Exploit Database - CXSecurity.com
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
www.infosecurity-magazine.com
www.infosecurity-magazine.com
Threat Intelligence Blog | Flashpoint
Threat Intelligence Blog | Flashpoint
Project Zero
Project Zero
W
WeLiveSecurity
L
LINUX DO - 最新话题
Hacker News: Ask HN
Hacker News: Ask HN
阮一峰的网络日志
阮一峰的网络日志
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
C
Cyber Attacks, Cyber Crime and Cyber Security
小众软件
小众软件
Webroot Blog
Webroot Blog
Hacker News - Newest:
Hacker News - Newest: "LLM"
Attack and Defense Labs
Attack and Defense Labs

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
Anthropic Is Now the Most Valuable AI Startup. Here's the Developer's Read.
Conor Dobbs · 2026-06-12 · via DEV Community

Conor Dobbs

on may 28 anthropic announced a $65 billion series h round at a post-money valuation of about $965 billion, which makes it, on paper, the most valuable ai startup in the world. the round was led by altimeter capital, dragoneer, greenoaks and sequoia, on top of earlier hyperscaler commitments that included around $15 billion with $5 billion of it from amazon. the headline everyone ran with is that anthropic passed openai. that part is true, but the comparison is messier than the headline, and the more interesting story is what is generating the number.

i build small dev tools and write comparison content, and a lot of what i ship runs on top of anthropic's models. so when the company that makes the tools i depend on nearly touches a trillion dollars, i do not read it as a sports score. i read it as a question about whether the thing i am betting on is durable, and what i should do differently because of it. here is the honest version of both.

the number, with the caveats intact

the $965 billion figure is consistent across cnbc, axios, morningstar, al jazeera and euronews, so i trust it. what i would not do is state the gap over openai as a precise fact, because the sources do not agree on openai's number. axios pegged openai's most recent valuation at $730 billion. other outlets put it closer to $850 billion off a record round earlier in the year. either way anthropic is ahead right now, but "ahead by $115 billion" and "ahead by $235 billion" are different sentences, and anyone quoting one as gospel is rounding away the uncertainty. the safe claim is the one i will make: as of late may 2026, anthropic is the most valuably-priced private ai company, and it got there fast. the reporting has it roughly tripling from a $380 billion mark in february.

the part that matters more to me is the revenue. anthropic crossed a $47 billion run-rate earlier in may. that is the line that turns a valuation from a vibe into something with a floor under it. you can argue about whether $965 billion is the right multiple on $47 billion of run-rate revenue, and reasonable people are arguing exactly that. but a $47 billion run-rate is not a story about hype. it is a story about a lot of people paying for something every month.

what is generating it, from where i sit

the reporting attributes a large share of that demand to coding. i cannot give you anthropic's internal revenue breakdown, and i am not going to pretend i can. what i can tell you is what i see at my own small scale, because it lines up. the work that has moved from "interesting demo" to "i pay for this and would be annoyed to lose it" is almost all coding work. claude code sitting in a terminal, reading a real repo, making edits across files, running the tests, is the first version of this category that survived contact with my actual day. the chat-window version was a toy. the agent-in-the-repo version is a tool.

their cfo, krishna rao, framed the raise as helping them "serve the historic demand we are experiencing" and "bring claude to more of the places where work happens." that is corporate-speak, but the second half is the real strategy. the value is not the chat box. it is claude showing up inside the editor, the ci pipeline, the terminal, the places work already happens, so you do not context-switch to use it. that is also, not coincidentally, where the willingness to pay lives. people will expense a tool that closes prs. they will not expense a clever paragraph.

the part the headline skips: this is a platform-dependence story

a valuation headline never says this part out loud. when one company's models become the substrate under a lot of small businesses, including mine, the small businesses are now exposed to that company's roadmap, pricing, and priorities. i felt this directly a few weeks ago when microsoft pulled internal claude code licenses and moved staff to its own tooling. one large customer's procurement decision rippled out as news for everyone building adjacent to the same stack. a $965 billion valuation does not insulate you from that. if anything it raises the stakes, because the pressure to monetize a number that large eventually reaches your invoice.

i am not bearish. i keep building on this stack because right now it is the best version of the tool for the work i do. but i hold it the way you should hold any dependency you do not control. i keep my prompts and my workflows portable enough that the value lives in how i work, not in one vendor's api shape. i pay attention to the providers moving toward open models and cli-first interfaces, because optionality is cheap to maintain and expensive to acquire after you need it. and i treat the model as a component, not a religion.

what i would do with this news

if you are a developer reading the valuation headline, the useful takeaway is not "anthropic won." it is that the coding-agent category is now large enough to fund a near-trillion-dollar company, which means it is not a fad and it is worth getting genuinely good at. the gap i see in practice is not access to the model. everyone has that. the gap is the operating knowledge: how to configure claude code so it reads your codebase instead of guessing, how to structure a claude.md so the agent behaves consistently, when to reach for subagents, how to wire mcp and skills without drowning the context window, and how to review what it produces so you are not shipping the plausible-looking bugs it is happy to write.

that operating knowledge is the actual moat for an individual developer in this cycle, far more than which model is briefly on top. the valuation will move again next quarter. the skill of driving the tool well compounds.

if you want the concrete version of that, the config patterns, the claude.md rules, the subagent and mcp setups, and the review habits, i collected the ones i use into the claude code cookbooks. and if you like these teardowns, i write more of them at tools.thesoundmethod.me.