Anthropic is an AI safety and research company that's working to build reliable, interpretable, and steerable AI systems.
Based on the social mentions, users have mixed feelings about Anthropic. They're impressed by Claude's technical capabilities, particularly highlighting the swarm of agents that built a 100,000-line C compiler and Claude Opus 4.6's massive 1M token context window. However, there's significant frustration with pricing, with users joking about Claude's "$200 plan that gives you 5 prompts a day" and concerns about API costs potentially doubling with new features. Overall, users see Anthropic as technologically impressive but increasingly expensive, with developers appreciating Claude's productivity benefits while being cautious about the rising costs.
Mentions (30d)
41
1 this week
Reviews
0
Platforms
8
GitHub Stars
3,058
563 forks
Based on the social mentions, users have mixed feelings about Anthropic. They're impressed by Claude's technical capabilities, particularly highlighting the swarm of agents that built a 100,000-line C compiler and Claude Opus 4.6's massive 1M token context window. However, there's significant frustration with pricing, with users joking about Claude's "$200 plan that gives you 5 prompts a day" and concerns about API costs potentially doubling with new features. Overall, users see Anthropic as technologically impressive but increasingly expensive, with developers appreciating Claude's productivity benefits while being cautious about the rising costs.
Features
Industry
research
Employees
4,700
Funding Stage
Series G
Total Funding
$58.4B
42,321
GitHub followers
78
GitHub repos
3,058
GitHub stars
20
npm packages
2
HuggingFace models
12,247,059
npm downloads/wk
OpenAI’s Game-Changing o1 Description: Big news in the AI world! OpenAI is shaking things up with the launch of ChatGPT Pro, priced at $200/month, and it’s not just a premium subscription—it’s a glim
OpenAI’s Game-Changing o1 Description: Big news in the AI world! OpenAI is shaking things up with the launch of ChatGPT Pro, priced at $200/month, and it’s not just a premium subscription—it’s a glimpse into the future of AI. Let me break it down: First, the Pro plan offers unlimited access to cutting-edge models like o1, o1-mini, and GPT-4o. These aren’t your typical language models. The o1 series is built for reasoning tasks—think solving complex problems, debugging, or even planning multi-step workflows. What makes it special? It uses “chain of thought” reasoning, mimicking how humans think through difficult problems step by step. Imagine asking it to optimize your code, develop a business strategy, or ace a technical interview—it can handle it all with unmatched precision. Then there’s o1 Pro Mode, exclusive to Pro subscribers. This mode uses extra computational power to tackle the hardest questions, ensuring top-tier responses for tasks that demand deep thinking. It’s ideal for engineers, analysts, and anyone working on complex, high-stakes projects. And let’s not forget the advanced voice capabilities included in Pro. OpenAI is taking conversational AI to the next level with dynamic, natural-sounding voice interactions. Whether you’re building voice-driven applications or just want the best voice-to-AI experience, this feature is a game-changer. But why $200? OpenAI’s growth has been astronomical—300M WAUs, with 6% converting to Plus. That’s $4.3B ARR just from subscriptions. Still, their training costs are jaw-dropping, and the company has no choice but to stay on the cutting edge. From a game theory perspective, they’re all-in. They can’t stop building bigger, better models without falling behind competitors like Anthropic, Google, or Meta. Pro is their way of funding this relentless innovation while delivering premium value. The timing couldn’t be more exciting—OpenAI is teasing a 12 Days of Christmas event, hinting at more announcements and surprises. If this is just the start, imagine what’s coming next! Could we see new tools, expanded APIs, or even more powerful models? The possibilities are endless, and I’m here for it. If you’re a small business or developer, this $200 investment might sound steep, but think about what it could unlock: automating workflows, solving problems faster, and even exploring entirely new projects. The ROI could be massive, especially if you’re testing it for just a few months. So, what do you think? Is $200/month a step too far, or is this the future of AI worth investing in? And what do you think OpenAI has in store for the 12 Days of Christmas? Drop your thoughts in the comments! #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #o1 #o1pro #chatgpt #2025 #christmas #holiday #12days #cursor #replit #pythagora #bolt
View originalPricing found: $0, $17, $200, $20, $100
Inside Claude Code’s leaked source: swarms, daemons, and 44 features Anthropic kept behind flags
On Wednesday, security researcher Chaofan Shou discovered that Anthropic had shipped version 2.1.88 of Claude Code with a 59.8MB source The post Inside Claude Code’s leaked source: swarms, daemons, and 44 features Anthropic kept behind flags appeared first on The New Stack.
View originalAnthropic is having a month
A human really borks things at Anthropic for the second time this week.
View originalClaude Code users say they’re hitting usage limits faster than normal
Claude Code users say they’re reaching usage limits faster than before — an ongoing issue Anthropic confirms on Reddit and The post Claude Code users say they’re hitting usage limits faster than normal appeared first on The New Stack.
View originalClaude Code's source code appears to have leaked: here's what we know
Anthropic appears to have accidentally revealed the inner workings of one of its most popular and lucrative AI products, the agentic AI harness Claude Code, to the public. A 59.8 MB JavaScript source map file (.map), intended for internal debugging, was inadvertently included in version 2.1.88 of the @anthropic-ai/claude-code package on the public npm registry pushed live earlier this morning. By 4:23 am ET, Chaofan Shou (@Fried_rice), an intern at Solayer Labs, broadcasted the discovery on X (formerly Twitter). The post, which included a direct download link to a hosted archive, acted as a digital flare. Within hours, the ~512,000-line TypeScript codebase was mirrored across GitHub and analyzed by thousands of developers. For Anthropic, a company currently riding a meteoric rise with a reported $19 billion annualized revenue run-rate as of March 2026, the leak is more than a security lapse; it is a strategic hemorrhage of intellectual property.The timing is particularly critical given the commercial velocity of the product. Market data indicates that Claude Code alone has achieved an annualized recurring revenue (ARR) of $2.5 billion, a figure that has more than doubled since the beginning of the year. With enterprise adoption accounting for 80% of its revenue, the leak provides competitors—from established giants to nimble rivals like Cursor—a literal blueprint for how to build a high-agency, reliable, and commercially viable AI agent. Anthropic confirmed the leak in a spokesperson’s e-mailed statement to VentureBeat, which reads: “Earlier today, a Claude Code release included some internal source code. No sensitive customer data or credentials were involved or exposed. This was a release packaging issue caused by human error, not a security breach. We're rolling out measures to prevent this from happening again.” The anatomy of agentic memory The most significant takeaway for competitors lies in how Anthropic solved "context entropy"—the tendency for AI agents to
View originalMidjourney engineer debuts new vibe coded, open source standard Pretext to revolutionize web design
For three decades, the web has existed in a state of architectural denial. It is a platform originally conceived to share static physics papers, yet it is now tasked with rendering the most complex, interactive, and generative interfaces humanity has ever conceived. At the heart of this tension lies a single, invisible, and prohibitively expensive operation known as "layout reflow." Whenever a developer needs to know the height of a paragraph or the position of a line to build a modern interface, they must ask the browser’s Document Object Model (DOM), the standard by which developers can create and modify webpages. In response, the browser often has to recalculate the geometry of the entire page — a process akin to a city being forced to redraw its entire map every time a resident opens their front door. Last Friday, March 27, 2026, Cheng Lou — a prominent software engineer whose work on React, ReScript, and Midjourney has defined much of the modern frontend landscape — announced on the social network X that he had "crawled through depths of hell" to release an open source (MIT License) solution: Pretext, which he coded using AI vibe coding tools and models like OpenAI's Codex and Anthropic's Claude. It is a 15KB, zero-dependency TypeScript library that allows for multiline text measurement and layout entirely in "userland," bypassing the DOM and its performance bottlenecks. Without getting too technical, in short, Lou's Pretext turns text blocks on the web into fully dynamic, interactive and responsive spaces, able to adapt and smoothly move around any other object on a webpage, preserving letter order and spaces between words and lines, even when a user clicks and drags other objects to intersect with the text, or resizes their browser window dramatically. Ironically, it's difficult with mere text alone to convey how significant Lou's latest release is for the entire web going forward. Fortunately, other third-party developers whipped up quick demos with Pretext
View originalMicrosoft’s Copilot makes Anthropic’s Claude and OpenAI’s GPT team up
Microsoft’s AI strategy has, for the most part, been about using third-party large language models (LLMs). First this was mostly The post Microsoft’s Copilot makes Anthropic’s Claude and OpenAI’s GPT team up appeared first on The New Stack.
View originalAnthropic’s madcap March: 14+ launches, 5 outages, and an accidental Claude Mythos leak
I’m Matt Burns, Head of Content at Insight Media Group. Each week, I round up the most important AI developments The post Anthropic’s madcap March: 14+ launches, 5 outages, and an accidental Claude Mythos leak appeared first on The New Stack.
View originalAnthropic Fires Back: Claude Code Channels Brings AI Coding Agents to Your Discord and Telegram
Anthropic made a significant move this week that every developer paying attention to the AI coding...
View originalExtended Thinking Returns Two Blocks, Not One (Anthropic Academy Part 2)
Extended Thinking returns two distinct blocks with cryptographic signatures. My streaming parser worked by accident.
View originalI Was Caching Wrong This Whole Time (Anthropic Academy Part 1)
I passed all 12 Anthropic Academy certifications. Then I looked at my wrong answers. This is part 1...
View originalClaude Code Review: How AI Now Catches Bugs Before You Ship
Anthropic just launched Code Review for Claude Code. Multi-agent AI reviews catch bugs humans miss. Learn how it works, what it costs, and who can use it.
View originalClaude Code for beginners: what it is, how to set it up, and why people won’t shut up about it
TL;DR Claude Code is Anthropic’s AI coding agent that runs in your terminal, reads your...
View originalAnthropic Never Released Their Tokenizer. Here's What We Found Testing the Alternatives
bpe-lite accuracy benchmark — report Date: 2026-03-19 Model tested against:...
View originalHow Anthropic Actually Uses Skills in Claude Code — A 9-Category Framework
Thariq from Anthropic shared how they use hundreds of Skills internally. Here's the framework and how I implemented all 9 categories.
View originalNew Claude Model
The AI space doesn’t slow down—and Anthropic just dropped a new Claude model that’s worth paying...
View originalRepository Audit Available
Deep analysis of anthropics/anthropic-sdk-python — architecture, costs, security, dependencies & more
Yes, Anthropic offers a free tier. Pricing found: $0, $17, $200, $20, $100
Key features include: Course overview, Lecture 1: What is psychology?, Lecture 2: Research methods, Practice questions, Study strategies, Midterm exam 1: 20%, Midterm exam 2: 20%, Final exam: 30%.
Anthropic has a public GitHub repository with 3,058 stars.
Based on user reviews and social mentions, the most common pain points are: anthropic, claude, openai, token usage.
Based on 68 social mentions analyzed, 0% of sentiment is positive, 100% neutral, and 0% negative.
Chris Olah
Research Scientist at Anthropic
5 mentions
