Daisy Zhao
@Daisy4ai
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investing in next gen ai apps @a16z
San Francisco, CA
Joined April 2021
🚨 New @a16z benchmark: Which AI-native Office tools actually work? We spent weeks testing dozens of AI-native apps - from horizontal “do-it-all” agents to deep vertical specialists, across real tasks like email, spreadsheets, and slides. Here’s what @omooretweets and I found
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Today, as shared by The New York Times, we’re announcing two things: >Our Series B at a $2.1B valuation led by @sarahdingwang at @a16z. >Reaching $100M ARR, profitably, with a team of just 50 people. That's $2M ARR per employee. PowerPoint was invented before the first website,
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Model 3 and Model Y battery packs retain 85% of their capacity on average after 200K miles of driving We also offer an 8 years or 120,000 miles battery warranty, whichever comes first
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I’m pretty sure the last time i posted on twitter was 6 years ago for our first startup. we did okay without it for startup number two. But after 18 months at Scale (thx @alexandr_wang and @rubenmayer_ ) it is being impressed upon me by our investors — who always give the best
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🚨How does an AI-native startup unseat an incumbent?🚨 👇Enter the Greenfield Strategy: AI-native startup bingo. The battle between every startup and incumbent comes down to whether the startup gets distribution before the incumbent gets innovation. One of the most powerful, and
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This is what an AI art gallery looks like ✨ Enjoy my fast-mode walkthrough of the @a16z AI Creative space. Had to shoot a tour before it gets too busy today 😉
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Welcome to the team Jason!
🚀 Excited to share that I’ve joined @a16z as a partner on the infrastructure team, where I’ll be investing in all things infra, data, and AI.
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AI isn't just a companion anymore - it's a coworker. But with dozens of products in the market, what should you use for different types of work? (ex. slides vs. docs vs. notes) @Daisy4ai and I tested and ranked them all 👇
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None of the above should be taken as investment advice or an advertisement for investment services; please see https://t.co/J0YioPZuOC for more information. For a full list of portfolio companies, visit
a16z.com
View an alphabetized list of all investments made by Andreessen Horowitz. This list excludes investments that are not publicly announced yet.
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Full post is here: https://t.co/H5bWjl9ThP If you’re building in this space, my partner @omooretweets and I would love to connect - DMs are open!
a16z.com
AI-powered productivity tools are emerging as both generalist platforms and specialized applications. We benchmarked over a dozen to see how they perform across core tasks like email, spreadsheets,...
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Key Takeaways from Testing! 1. Specialists still win in PPT, email, and notes - but generalists are catching up, boosted by rapid model progress (e.g. Manus). 2. The horizontal race is heating up - even labs (Anthropic, OpenAI) are entering to own the “work UI”. 3. Convergence
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5️⃣ Use Case 5: Meeting Notes Prompt: Take live notes during a meeting. - Specialists : • Mem → most comprehensive capture of discussions + action items • Granola → customizable templates for different meeting types • Notion → strongest for collaboration + task integration
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4️⃣ Use Case 4: Research Prompt: Summarize & compare cloud revenue growth for MSFT, AMZN, GOOG, then analyze the drivers. - Manus: deepest tables + strongest analysis; slower - Comet, Dia: fastest (<20 sec) with correct numbers; lighter analysis/structure - ChatGPT Agent: solid
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3️⃣ Use Case 3: Email Prompt: Draft an email to schedule a dinner next Thursday. - Specialists (Serif, Fyxer, Jace): generate strong drafts, maintain context across threads, and offer varied scheduling approaches and customization. - Generalist (Comet): drafts + schedules too,
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2️⃣ User Case 2: Spreadsheet Prompt: Extract all the data from this PDF and calculate operating margin. - Manus (generalist): fastest + most accurate extraction. - Shortcut (specialist): deeper Excel-native analysis but slower + narrower. - Others (Claude, Genspark, ChatGPT
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1️⃣ Use Case 1: PowerPoint Prompt: Design a visual-heavy, 7-slide deck about Gen Z internet behavior trends in 2025. - Gamma (specialist): polished, editable, ready in <2 min — best for external decks. - Genspark / Manus (generalists): slower, content-heavy, great for analysis. -
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First, the market splits into two camps: Generalists (Assistants: Manus, Genspark; Browsers: Dia, Comet; Extensions: MaxAI, Monica) - flexible but less polished. Specialists (Email: Fyxer, Serif; Slides: Gamma, Chronicle; Notes: Mem, Granola) - focused and refined in a single
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I spoke with @cdixon on the a16z pod about what consumer founders should think about in the age of AI. Chris is one of the rare people who has seen these cycles from every angle. He was a 2x consumer founder himself before becoming one of the most successful consumer investors
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🚨 Attention AI creative enthusiasts! Our team at @a16z is a gallery party to celebrate AI art in NYC on 9/18. We have an INCREDIBLE artist lineup + founders at some of the coolest AI creative startups. I've been saving a few spots, DM or comment if you're interested 👀
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at @a16z one of our central theses is that ai is eating labor. we've already seen this with voice agents, copilots, and next-gen rpa systems - each pushing the boundaries of what software can automate. we believe the next major step is computer-using agents: systems trained on
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See the full Top 100 list here: https://t.co/elzCBKgaGd
a16z.com
Which AI apps are people actively using? What’s actually making money, beyond being popular? We analyzed the data.
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