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Daisy Zhao Profile
Daisy Zhao

@Daisy4ai

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Following
502
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57
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273

investing in next gen ai apps @a16z

San Francisco, CA
Joined April 2021
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@Daisy4ai
Daisy Zhao
2 months
🚨 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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@thisisgrantlee
Grant Lee
6 days
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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@Tesla
Tesla
18 days
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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@jhnling
John Ling
25 days
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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@jamdac
James da Costa
1 month
🚨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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@venturetwins
Justine Moore
2 months
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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@Daisy4ai
Daisy Zhao
2 months
Welcome to the team Jason!
@JasonSCui
Jason Cui
2 months
🚀 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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@omooretweets
Olivia Moore
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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
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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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@Daisy4ai
Daisy Zhao
2 months
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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@illscience
Anish Acharya
2 months
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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@venturetwins
Justine Moore
3 months
🚨 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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@zephratic
eric
3 months
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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