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The Secret Marketing Strategy That Built a16z: From Zero to Legendary VC Firm
a16z· 2025-11-26 14:01
I cause a lot of antagonism between us and the other firms in those days. >> Your filter is like you're going to get the deal or I'm going to get the deal. You die or I die. >> And they're not exactly shrinking ballots themselves. >> They hated that cover story. Look at him on the cover of the magazine. That's not supposed to be him. Not supposed to be the entrepreneur. What the hell? D. I mean, they just like we didn't have any entrepreneurs at the time. >> VC was like a big secret. And then actually build ...
Marc Andreessen on "the clip"
a16z· 2025-11-18 01:37
Content Consumption Trends - Clips are the primary method for content consumption [1] - Sports games generate approximately 5 to 8 clips that often go viral [1] - Clips commonly achieve distribution that is 1000 times greater than the original content [1]
Sam Altman on Sora 2
a16z· 2025-11-14 18:46
Cuz videos are expensive to me. For people that are doing that like hundreds of times a day, the traditional naive thing that it's like 1% of users create content, 10% leave comments, and 100% view. Maybe a lot more want to create content, but it's just been harder to do.I think that's a very cool. ...
The Brutal Truth About Biotech: Why $2B Per Drug Is Killing Innovation
a16z· 2025-11-14 16:08
Industry Challenges & Opportunities - Biotech industry faces record lows and structural challenges [1] - Technology progress is disconnected from market reality [1] - Drug development costs are exploding, reaching $25 亿 (2.5 billion) per approval [1] - The industry needs to invent medicines impossible to make with current tools [1] Competitive Landscape - China's investigator-initiated trials offer speed and cost advantages [1] - Geographic arbitrage in China is rewriting the competitive playbook [1] - The industry is exploring how to compete with China by inventing new technologies [1] Innovation & Future Trends - AI in drug development aims to reduce the cost of a $25 亿 (2.5 billion) drug to $5 亿 (500 million) [1] - The industry is focusing on treating aging before fully understanding it [1] - The next iconic biotechs will likely rebundle the stack [1]
Patrick Collison on @DwarkeshPatel: "I think working with people you're close to is underrated."
a16z· 2025-11-13 18:01
I think working with people you're close to is underrated. I feel like for all the ventures of any significance in my life, they they've not only been with others, but been with other people that I'm very close to and where I had and would like to have an enduring relationship that outlives them. And you know, sometimes one hears the advice that, you know, you shouldn't work with friends or maybe you shouldn't work with your your partner or something like that.And all these things are idiosyncratic and ther ...
Grant Lee: Building Gamma’s AI Presentation Company to 100 Million Users
a16z· 2025-11-11 14:32
I get into my third pitch and it goes pretty well I feel like and I kind of pause and wait for the, you know, investor's reaction. He basically says, "This has got to be the worst idea I've ever heard. Not only are you going up against massive incumbents, they have ultimate distribution. There is no way you're going to compete against them." Before I could just say anything, he hangs up. He just drops off the Zoom call.I kind of gave myself just a chance to internalize what he was saying. Try to like pull o ...
Michael Truell: How Cursor Builds at the Speed of AI
a16z· 2025-11-10 15:30
Company Origin and Evolution - Cursor initially focused on mechanical engineering and CAD systems but pivoted to programming due to poor founder-market fit [5][12][13][14] - The company's shift to programming was driven by the usefulness of early AI products like GitHub Copilot and the potential of scaling laws in AI [7][8] - Cursor's early success is attributed to its narrow focus on VS Code and building a better product within that specific environment [16] Scaling and Infrastructure - Cursor experienced rapid scaling, even stressing the platforms of major cloud providers [28][29] - The company initially managed scale with a small team, encountering challenges with Kubernetes clusters and API providers [32][33] - Cursor adopts a multi-cloud strategy, utilizing various providers like AWS, GCP, Azure, Databricks, Snowflake, and PlanetScale [37][38] - Cursor strategically diversifies API token sources across multiple providers and explores token resellers [34] Product Strategy - Cursor is intentionally moving towards becoming a multi-product company, aiming to build an AI coding bundle [41] - The company prioritizes its editor as the main focus but is also exploring team collaboration tools [42][43] - Cursor emphasizes owning the surface (the editor) and initially avoided touching the modeling side of things [25][26] Talent and Acquisition - Cursor employs a rigorous and unorthodox recruiting process, including a two-day onsite project for engineering and design candidates [49][51] - The company values talent acquisition and has used M&A as a strategic tool to acquire talented teams [56][58] - Cursor's acquisition of Supermaven, a team led by the creator of Tab 9 (precursor to GitHub Copilot), demonstrates its focus on acquiring top AI talent [60] Future Challenges - The company acknowledges the challenge of continuous disruption in the AI space and aims to build a company that can adapt and innovate [65] - Cursor recognizes that the software automation is still in early stages and there is a long way to go [63][64]
Marc Andreessen and Ben Horowitz on the State of AI
a16z· 2025-10-31 13:32
In this closing keynote from a16z’s Runtime conference, General Partner Erik Torenberg speaks with our firm’s cofounders, Marc Andreessen and Ben Horowitz on highlights from throughout the conference, the current state of LLM capabilities, and why despite huge capex, AI is not a bubble. Timestamps: 00:00 Intro 01:00 Can AI Truly Create? Intelligence vs. Invention 03:32 Remix, Originality, and the Nature of Human Creativity 06:20 Ben on Hip-Hop, Innovation, and Creative Genius 09:10 Intelligence, Power, and ...
Google DeepMind Developers: How Nano Banana Was Made
a16z· 2025-10-28 17:00
AI Model Development & Features - Google DeepMind's Nano Banana image model gained significant internet attention [1] - The discussion covers the creation, viral nature, and future applications of Nano Banana in image and video editing [1] - Key aspects include control, customization, and character consistency in AI-generated content [1] - Multimodal AI and its impact on the future of creativity are explored [1] - The transition from images to video is identified as the next frontier in AI model development [1] Creative Applications & Impact - AI's role in transforming art and creative work is examined [1] - Building user-friendly interfaces for both artists and everyday users is a focus [1] - AI's potential in education and visual learning is highlighted [1] - The challenge of incorporating taste, preference, and artistic style into AI models is addressed [1] - The impact of AI on creative communities, particularly in Japan, is discussed [1] Ethical & Practical Considerations - The importance of working with artists and designing with intent is emphasized [1] - The content is for informational purposes only and should not be taken as investment advice [1]
Marc Andreessen & Amjad Masad on “Good Enough” AI, AGI, and the End of Coding
a16z· 2025-10-23 15:02
We're dealing with magic here that we I think probably all would have thought was impossible 5 years ago or certainly 10 years ago. This is the most amazing technology ever and it's moving really fast and yet we're still like really disappointed. Like it's not moving fast enough and like it's like maybe right on the verge of stalling out. We should both be like hyper excited but also on the verge of like slitting our wrists cuz like you know the gravy train is coming to an end, >> right? >> It is faster but ...