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Excited to launch Miro Insights (formerly Cardinal) and its first, ever, AI Product Backlog 🥳 Our mission is to maximise product teams effectiveness & impact, make builders super-human! We think it's time product teams listen to their customers better and align on their plans better, and we think AI... show more

Wiz

3,173 subscribers

73,515 次观看 • 2 年前 •via X (Twitter)

科学技术教育

Anya Rossi• Live Now

Private livecam show

11 条评论

Wiz 的头像

Wiz2 年前

For press:

Aakash Gupta 的头像

Aakash Gupta2 年前

@cardinalappio 🚀

Vijender 的头像

Vijender2 年前

@cardinalappio @nadavwiz, @cardinalappio launches AI Product Backlog, transforming product teams. Elevate customer engagement and alignment with AI. Kudos to the journey and eager to see Cardinal shine!

Aaron Taylor 的头像

Aaron Taylor2 年前

@cardinalappio Upvoted. Good luck!!

Wiz 的头像

Wiz2 年前

@cardinalappio Thank you!

Ido Sofer 的头像

Ido Sofer2 年前

@cardinalappio Good luck Wiz!

Wiz 的头像

Wiz2 年前

@cardinalappio Thanks Ido!

Boaz 的头像

Boaz2 年前

@cardinalappio בהצלחה

Wiz 的头像

Wiz2 年前

@cardinalappio תודה חבר

ליידי גזר 的头像

ליידי גזר2 年前

@cardinalappio נראה מדהים, בהצלחה! ושאלה: הכלי מתאים לניהול מוצר יחיד או גם לניהול מספר מוצרים במקביל?

Wiz 的头像

Wiz2 年前

@cardinalappio היי תודה. כרגע יש לנו מוצר בודד אבל כמה ארגונים

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Martin Casado says Cursor's founders spend 30-40% of their time on hiring and culture, and that focus is how they iterate so fast: "A lot of these AI companies that I work with are so research-heavy. If you're not working on a new model architecture, it's kind of hard to actually interest the core teams." "They always kept the main thing the main thing, which is changing how you write software. They believed fundamentally it was a product problem... The model's very, very important, but it was a product problem." "There's actually not a lot of companies that are actually focused on product... There's a lot of research companies... But they were like, 'We are a product company.' And I think that's actually a key differentiator in this era." martin_casado w/ sophia dew and Theo Jaffee on MTS

Martin Casado says Cursor's founders spend 30-40% of their time on hiring and culture, and that focus is how they iterate so fast: "A lot of these AI companies that I work with are so research-heavy. If you're not working on a new model architecture, it's kind of hard to actually interest the core teams." "They always kept the main thing the main thing, which is changing how you write software. They believed fundamentally it was a product problem... The model's very, very important, but it was a product problem." "There's actually not a lot of companies that are actually focused on product... There's a lot of research companies... But they were like, 'We are a product company.' And I think that's actually a key differentiator in this era." martin_casado w/ sophia dew and Theo Jaffee on MTS

a16z

80,346 次观看 • 7 天前

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The rules of professional product development are being rewritten in real time. - PMs and designers can ship software as easily as engineers. - Software is no longer just built for humans—it’s also built for agents as first-class citizens. To better understand how we build products in this world, I invited Mike Krieger (Mike Krieger) on Every 📧’s AI & I podcast. Mike cofounded Instagram and is now a member of the technical staff at Anthropic, co-leading Anthropic Labs, their internal incubator for experimental products. He's been at the frontier of two transformative technology waves: mobile/social and now agent-native software. We discussed: - How to build a truly agent-native product. The best products today, like Claude Code, allow users to do things that their creators never intended. But that requires hard trade-offs between freedom and safety/reliability for frontier products, an issue that Mike's team is learning how to solve. - What's different about building now versus building Instagram. At Instagram, it took months to hit dead ends and learn what to cut. Now, that cycle runs in hours. - The trap of building too much, too fast with agents. You can go from idea to a nearly-shipped product in a day, but that process doesn’t give you the incremental feedback that used to tell you what not to build. The models are great at adding features, but can create a product that lacks coherence. - How Anthropic Labs structures product teams. New product experiments are led by only two people, usually a product manager or designer paired with an engineer. Mike says bigger teams tend to be too slow because of coordination costs. - Why you need to throw out your product and start over every three to six months. AI progress means most of your harness will be outdated quickly—the best teams build this into their product strategy. And much more! You should watch this one. Timestamps Introduction: What's gotten easier—and what hasn't—about building products in the age of AI: Why vibe coding creates "indoor trees": How rewrites have become a normal part of the development process: What "agent native" product design means: How Mike's labs team is structured and the cofounder model: The best signal for a product bet is someone with "break through walls" conviction: Navigating enterprise customers while keeping pace with rapid AI change: OpenClaw, personal agents, and the product question defining 2026:

Dan Shipper 📧

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Michael Truell in 2025 on Cursor's trajectory: "Eventually in the future, we want to touch the model side of things... that's actually been a really important product lever for us." "I do think we're gonna need to be a multi-product company going into the future." "There's a whole AI coding bundle to be built, and we want to be, for many of our customers, the AI coding provider for them." "The ways in which work is changing within the editor start to affect how teams work together too... It's necessary to have the best editor, as to also have this complement that's helping teams review and collaborate." Michael Truell w/ martin_casado, a16z Runtime 2025

Michael Truell in 2025 on Cursor's trajectory: "Eventually in the future, we want to touch the model side of things... that's actually been a really important product lever for us." "I do think we're gonna need to be a multi-product company going into the future." "There's a whole AI coding bundle to be built, and we want to be, for many of our customers, the AI coding provider for them." "The ways in which work is changing within the editor start to affect how teams work together too... It's necessary to have the best editor, as to also have this complement that's helping teams review and collaborate." Michael Truell w/ martin_casado, a16z Runtime 2025

a16z

50,763 次观看 • 14 天前

Howie CEO austin petersmith told us building an AI secretary is harder than it looks. For a product like this, he said "you have to put a pretty bad product into market in order to get a good one." Last year, they worked with customers to understand the patterns and mapping out the mindset of an executive assistant. Now, that product is available to everyone.

Howie CEO austin petersmith told us building an AI secretary is harder than it looks. For a product like this, he said "you have to put a pretty bad product into market in order to get a good one." Last year, they worked with customers to understand the patterns and mapping out the mindset of an executive assistant. Now, that product is available to everyone.

TBPN

11,051 次观看 • 11 个月前

Here’s a demo of the upcoming Believe API — going live shortly. The goal of the Believe API is to make it easy for builders to create harmony between their product and coin, no matter what their product does. The first API endpoint lets builders burn their coin programmatically. For example, if Dupe's core KPI is deal searches, they could trigger a coin burn every time users do a deal search. Every action is also verifiable on chain. I can’t wait to see how builders use this.

Here’s a demo of the upcoming Believe API — going live shortly. The goal of the Believe API is to make it easy for builders to create harmony between their product and coin, no matter what their product does. The first API endpoint lets builders burn their coin programmatically. For example, if Dupe's core KPI is deal searches, they could trigger a coin burn every time users do a deal search. Every action is also verifiable on chain. I can’t wait to see how builders use this.

Ben Pasternak

469,512 次观看 • 1 年前

Elon Musk on why the Model S and Model X succeeded: “Those cars were designed with love. Every part of it, inside and outside, even things people couldn’t see - we put there because we love the product” “It’s at the heart of any great product. If the people making it genuinely love that product… it’s not a spreadsheet thing. You do things to make the product amazing because you love it Even if people don’t see all of those things, they feel a lot of those things. And that’s what translates to people wanting the product”

Elon Musk on why the Model S and Model X succeeded: “Those cars were designed with love. Every part of it, inside and outside, even things people couldn’t see - we put there because we love the product” “It’s at the heart of any great product. If the people making it genuinely love that product… it’s not a spreadsheet thing. You do things to make the product amazing because you love it Even if people don’t see all of those things, they feel a lot of those things. And that’s what translates to people wanting the product”

X Freeze

4,288,316 次观看 • 3 个月前