Catherine Wu
San Francisco, California, United States
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16K followers
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Catherine Wu shared thisMy new favorite way to use Claude Code! You can now manage all your agents across local and cloud, pin your active sessions, see Git status of each session, and open multiple sessions at once in the Claude Code in desktop app. Let us know what you think!Catherine Wu shared thisToday is a big day! We're launching a ~ new ~ version of Claude Code in the desktop app. It's been redesigned from the ground up for parallel work and is a lot faster. It's been my main way to use Claude Code for the last few weeks. Some of the new features: An integrated terminal, in-app file editing, a rebuilt diff viewer, side chats, SSH connections - and a large amount of little quality of life improvements. Download or update the Claude desktop app to get started: https://lnkd.in/gxSHwtDH
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Catherine Wu shared thisI've gotten many questions about how the product management role is changing. Here is what has worked on our team: 1. Plan in short sprints since model capabilities improve quickly 2. PMs, designers, and engineers build demos instead of write docs 3. Revisit what's possible when new models come out We're seeing the PM, designer, and engineer roles blend together, allowing us to ship frontier products far more quickly than before. Thanks Bihan Jiang and Kai Xin Tai for sharing your perspectives from Decagon and Datadog!Catherine Wu shared thisClaude Code's head of product, Cat Wu, has run the same test on every new model since October 2024: ask Claude Code to add a table tool to Excalidraw. For months, it got closer each time and still failed. With Opus 4, it started working occasionally. With Opus 4.6, it works reliably enough to demo live in front of a room of professional developers. The technical constraints you plan around can disappear before you ship. In a new blog post, Cat shares what the PM role looks like now, and how her team uses Claude Code and Cowork to keep pace with evolving model intelligence. Read it here: https://lnkd.in/gh5B5a2u
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Catherine Wu shared thisWe were surprised to learn how many Claude Code users at Brex weren’t engineers. - Andy Reed, a content designer, uses CC to make PRs directly, tackling projects that had been on his infinite backlog, and even building a Figma plugin. - Sumeet Marwaha, Head of Data, built Brex Explorer, a text-to-SQL tool powered by CC and MCPs, that allows employees to query data in plain text. Excited to see what they’ll build next! https://lnkd.in/geyySj-qHow Brex improves code quality and productivity with Claude Code | ClaudeHow Brex improves code quality and productivity with Claude Code | Claude
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Catherine Wu shared thisBoosting this opportunity to help companies successfully adopt Claude Code!Catherine Wu shared thisAre you building. loving. living in. obsessed with. #claudecode? And have 2+ yrs of SWE or SA experience? Then, we have the job for you - https://lnkd.in/gFaABFeb This is a unique customer-facing role to be part of the founding applied AI team focused exclusively on building, accelerating and growing Claude Code. Some incredible CC milestones from this year: - 120,000 + of developers use Claude Code every day - 200 million lines of code are processed weekly - over 5x revenue growth in 2 months since launching Claude 4 models Tag friends + colleagues + school programs!
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Catherine Wu shared this🚀 We are growing the Claude Code team! We've been blown away by the developer enthusiasm for Claude Code and we have ambitious plans to continue transforming how developers do their best work. Some incredible milestones from this year: - Hundreds of thousands of developers use Claude Code every day - Over 5x revenue growth in the two months since launching Claude 4 models - Claude Code is the preferred coding tool for many world-class engineers If you're passionate about empowering developers and want to work with people who genuinely care about their craft, we'd love to hear from you. Product management: 1. SDK - https://lnkd.in/gYaidVBq 2. Enterprise - https://lnkd.in/gasrB8Uu Engineering: 1. Software Engineer - https://lnkd.in/gTpyzuni 2. Engineering Manager - https://lnkd.in/gQEwx_wX Applied AI (helps customers be successful with Anthropic products, including Claude Code): 1. Product Engineer, Applied AI - https://lnkd.in/g92bzi9D 2. Solutions Architect, Applied AI - https://lnkd.in/gyaR4JR7 Looking for other roles? Check out: https://lnkd.in/gVvQvawF
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Catherine Wu shared thisDream job alert in the big 🍎! Apply to join our team as an investor in New York.Catherine Wu shared thisWe're looking to hire a new investor for our NYC-based investment team at Index Ventures. Ideally, this is someone with 2-4 years of experience at a high-growth company and is excited to learn the craft of venture capital. This person will work closely with our team to identify, diligence, invest in, and support new investments. This person will also share our goal to back the next generation of founders to sit alongside those at Datadog, Figma, Revolut, Roblox, and more. We'd love to hear from you - application here: https://lnkd.in/etXmiY-i
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Catherine Wu shared thisJoin us for Index Ventures's 2022 AI summit to learn from an incredible line-up: Kevin Scott (CTO at Microsoft), Sam Altman (CEO at OpenAI), Pieter Abbeel (Chief Scientist/Co-founder at Covariant), Alexandr Wang (CEO/Founder at Scale) and many other AI leaders! Happening virtually this Jan 19-20 2022. Rsvp here:
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Catherine Wu shared thisWe're excited for all of the production use cases Dagster 0.10.0 enables! Exactly-once scheduler, external sensors, dynamic orchestration, i/o managers for data flow, etc!Catherine Wu shared this1/ Last week we at Elementl, the team behind Dagster, pushed out 0.10.0, code-named “Edge of Glory”. A big release a long time coming! 📖 Read the announcement post: https://lnkd.in/gPfKKyr Release highlights - Exactly-once, Fault-Tolerant Scheduling: Dagster now includes a fault-tolerant run scheduler with exactly-once semantics, based on a reconciliation loop. - Sensors: Dagster now supports sensors (event-based schedules) managed by our scheduler process. Dagster sensors are fault-tolerant, exactly-once, and supported by best-in-class operational tools. - Mature Kubernetes Execution Engine: Production-ready, cloud-native execution environment built on Kubernetes. - I/O Managers: Programming model improvements to cleanly separate I/O and compute. Especially compelling for users who would like to use data frames and target data warehouses and data lakes. Feel free to check out this tweetstorm for more pictures and explanation! https://lnkd.in/gKVPbzY
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Catherine Wu shared thisDebating going back to college for the 2020-2021 school year? Come work with Elementl on Dagster instead! https://lnkd.in/gRRfJiq
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Catherine Wu reacted on thisCatherine Wu reacted on thisI haven't touched an IDE or terminal in weeks. Today we're launching a completely redesigned Claude Code on desktop, rebuilt from the ground up to make parallelizing work with Claude ridiculously easy. Try it and let me know what you think?
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Catherine Wu reacted on thisCatherine Wu reacted on thisNow in research preview: You can enable Claude to use your computer to complete tasks in Claude Cowork and Claude Code. It opens your apps, navigates your browser, fills in spreadsheets—anything you'd do sitting at your desk. Claude uses your connected apps first: Slack, Calendar, and other integrations. When there's no connector for the tool you need, it asks for your permission to open the app on your screen directly. Assign a task from your phone, turn your attention to something else, and come back to finished work on your computer. The conversation picks up where it left off—tell Claude once to scan your email every morning or pull a report every Friday, and it handles it from there. It won't always work perfectly, and complex tasks could need a second try. We're sharing it early because we want to learn where it works and where it falls short. Available on Pro and Max, macOS only. Update your desktop app and pair with mobile to try: https://lnkd.in/gFEAnNZmPut Claude to work on your computer, from anywherePut Claude to work on your computer, from anywhere
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Catherine Wu reacted on thisCatherine Wu reacted on thisI’m excited to announce that Simple AI has raised a $14M Seed round led by First Harmonic, with support from Y Combinator, True Ventures, and other strategic investors. For the past year, we’ve been building AI voice agents to transform direct-to-consumer sales. We fundamentally believe that voice AI is the future of all inbound and outbound B2C calls. We’ve been so busy building for our customers that we forgot to launch. :) Simple AI’s voice agents automate phone calls while creating a delightful customer experience. They know every detail about every product SKU. They’re trained on the best reps, so every call is handled at top-performer quality. The amazing side effect is that the call center director’s job shifts from fixing underperformers to optimizing the top performer: Simple AI. With built-in experimentation tools, they can tune voice, speed, gender, and accent, and arm agents with rich customer context like preferences, purchase history, and more. Today, Simple voice agents sell everything from steak to self storage to home insurance. And they already outperform trained live reps by 30% on conversion and upsell. Zach Kamran and I are grateful to all of our early supporters, including Ali Rowghani, JJ Fliegelman, Michael Seibel, Jared Friedman, Mike Vernal, Joseph Malchow, Michael Montano, Eric Woersching, Alexandr Wang, Suhail Doshi, Scott Wu, Matt Van Horn, Jamie Haenggi, Sophia Luo and many others. If you’re excited about joining an all-star team working on hard, interesting problems with real-world impact, please reach out.
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Catherine Wu reacted on thisCatherine Wu reacted on thisToday’s drop: We are excited to release a fast version of Claude Opus 4.6! It’s 2.5x faster, and available as a research preview on Claude Code and on our API. Our teams have been using fast mode, and it's been one of the biggest improvements to how we work. We wanted to get it into your hands so you can experience it for yourself. It's more expensive to run, so it's not for every task. But when the opportunity cost requires both intelligence and speed — a prototype under time pressure, a multi-day project you need done now — it makes a real difference. Claude Code users with extra usage enabled can try it today with (use /fast). Thank you to our launch partners and to our builder ecosystem. Fast mode is available on these platforms in research preview today: Cursor, Emergent, Factory, Figma, GitHub, Lovable, v0 by Vercel, Windsurf
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Catherine Wu reacted on thisCatherine Wu reacted on thisI spent my third day at Netic onsite with an HVAC and Plumbing customer. Three things stood out to me: 1) While Silicon Valley successes are cool, it's so inspiring to see the amazing businesses that entrepreneurs across the country have built without raising gobs of VC money. These companies obsess over delivering amazing service on every job, and are relentless in finding new ways to innovate within huge constraints. It's next-level grit. I can't wait to do my part in helping these real builders win with AI. 2) Being in-person sealed it for me: Netic is on to something big. Seeing the reactions to not only our existing product, but also what's to come, got me so pumped. AI is the worst it will ever be, so the fact that we are already seeing such customer love and integration into core business workflows makes me very optimistic about the future. 3) Netic has grown quickly with zero marketing. Our customers have incredible, inspiring stories to tell, and we're going to be their microphone. Melisa Tokmak and I know that great marketing is all about passion and connecting with the souls of our buyers. And we're going to build a marketing team and culture that reflects this. There's so much to build and we need your help! I'm admittedly behind on getting a bunch of jobs posted, so if you're ready to build AI for America's "real economy" send me a note even if you don't see a role online yet for you.
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Nick Durham
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Zifeng L.
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The end of human drivers? Tried Tesla Robotaxi in the Bay Area for the first time, 8.8 miles from Meta SF to Daly City station for $18. Unlike Waymo, Tesla’s Robotaxi can take the freeway. The ride was smooth, and the decision-making felt far closer to human than “bot-like.” What surprised me most: it’s just a regular Model Y. With the built-in rear screen, any Tesla could potentially be activated as a Robotaxi. That’s scalability at an entirely different level. Waymo might have an early lead, but Tesla’s vision-only approach gives it massive coverage and faster rollout potential. If this scales, Uber, Lyft, and even car ownership itself could be disrupted faster than expected. This is exactly why I quit my job to go all-in on ElasticDash We’re entering a new industrial revolution, the real question is: will you shape it, or be forced to adapt?
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Jordan Steiner, CFA
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TestSprite, a Seattle-based startup, has secured $6.7 million in seed funding led by Trilogy Equity Partners. The company, founded by Yunhao Jiao, automates AI code testing and validation, addressing a critical bottleneck in the software development lifecycle. Sofia Chesnokova | Tech Funding News https://lnkd.in/eXHzr5H3 #AI #ArtificalIntelligence
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Alex Lazovsky
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AI Pulse Journal
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🔥 Headline: Cerebras Shatters Fundraising Records As AI Capital Frenzy Hits New Peak -- Cerebras’ Landmark Funding Signals Investor Conviction -- - Cerebras, a Silicon Valley-based artificial intelligence chipmaker, secured a monumental 1.1 billion US dollars in fresh funding—one of the largest rounds for any AI company this year. - The funding round, led by Saudi Arabia’s Public Investment Fund and other heavyweight backers, underscores a strategic global race for AI infrastructure dominance. - Cerebras specializes in building some of the world’s most powerful AI chips designed to challenge Nvidia’s stronghold—a bold positioning that investors clearly believe has scale potential. -- AI Infrastructure Is Becoming A Geopolitical Asset -- - This round reflects a growing trend: AI infrastructure is now treated as national economic security, not just a commercial bet. - Sovereign wealth funds, including Saudi Arabia’s PIF, are aggressively backing companies that could help nations reduce dependency on US chip suppliers. - Cerebras’ technology, which focuses on training large language models at unprecedented speeds, aligns with government ambitions to secure domestic AI capabilities. -- Market Dynamics: Competitive Pressure Intensifies -- - Nvidia’s dominance is being challenged on two fronts—cost efficiency and speed—where Cerebras aims to differentiate through its wafer-scale chips. - Investors are positioning Cerebras as a key alternative supplier, anticipating that demand for high-performance AI chips will far outstrip current supply. - The funding sets the stage for faster product rollouts, deeper R&D investment, and potential long-term supply contracts with global AI players. -- Implications For Investors And Startups -- - This scale of investment in a single company will likely redirect capital flows toward AI hardware, signaling that investors see long-term infrastructure value, not just application hype. - Startups operating in complementary spaces—such as AI software optimization, model training, and energy-efficient compute—stand to benefit from ecosystem expansion around Cerebras. - For institutional investors, this move reinforces that the next wave of AI winners may emerge from the infrastructure layer, not just consumer-facing applications. Reference: https://lnkd.in/eqdh-Ra6. #ArtificalIntelligence #AutonomousAgents #LLMAgents #AgenticWorkforce #AgentApplications #AIProductivity #AIAgentNewsletter #AgenticAI #AgenticWorkflows #AIAutomation #AIAgents #AgenticAI #FutureOfWork #Innovation #AIInvestment #AIBusiness #AIBank
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BaseFrame (YC W26) helps hardware teams find mistakes in their project designs and explore tradeoffs early. Anshul and Vaibhav were roommates at Berkeley and faced these issues themselves when working on robotics startups in the past. Their vision is to help hardware teams bring breakthrough products to market faster, leaner, and with data-driven compromise. To make this work, BaseFrame’s specialized AI agents validate your scope against industry best practices to surface gaps and areas for improvement. They then generate a Bill of Materials by parsing datasheets, manufacturer data, and past designs made by the team and give comprehensive comparison tables and citations. No more 15 tabs of datasheets clogging your workflow. Teams can branch designs, manage versions, and test multiple architectures simultaneously to highlight tradeoffs in cost, price, and lead time. Congrats Anshul Paul and Vaibhav Agrawal on the launch! https://lnkd.in/e6xnmnm2
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Venya Goyal
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Stop building chatbots. Start building agents with MCP. 🤖⛓️ After our Claude Code deep dive, the Claude Builder Club is back, this time with Notion UMD. We are diving into the Model Context Protocol (MCP), the emerging standard for connecting AI to tools, data, and real world workflows. If you want to move beyond simple chatbots and start building real AI agents, you should come.
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