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Introducing Index – the new planning tool for Product Managers on Linear. ➡️ Product leaders have long deserved a modern experience for product planning and discovery. Something powerful, flexible, and integrated with the latest tools. That’s why we built Index (Index), the new standard for Product Management: 1. Every... layout at your fingertips Breeze through planning with a whiteboard, table, roadmap, or board available every step of the way. One place to go, infinite flexibility, and context on your projects carried throughout. 2. Built for B2B Product Management Natively connect to your customer context, leveraging their requests, insights, and feedback all in one place. Index connects to Hubspot, Intercom, Dovetail, Attio, Gong, and more – so you can back up your vision with customer evidence. 3. The product-native companion to Linear To build a true companion to Linear for PMs, we knew we had to raise the bar. Interactions are instant, every layout is collaborative, and it fits Linear like a glove with native sync. We're live today, and you can pre-order now atshow more

Simon Kubica

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Many people consider Linear the gold standard in B2B software. Their focus on craft, the end-user experience, and building strongly opinionated software is inspiring a new generation of founders. It's also one of the most beloved and fastest-growing B2B products out there today. In my conversation with Nan Yu (Nan Yu), head of product at Linear, we discuss: 🔸 Why it's a red flag if you think speed and quality are at odds 🔸 Linear’s philosophy on deadlines 🔸 The “double triangle” framework for product management 🔸 Nan’s systematic approach to creativity 🔸 Nan’s approach to landing his dream product roles 🔸 Their unique approach to product development 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Sinch — Build messaging, email, and calling into your product: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Wix Studio — The web creation platform built for agencies: it

Many people consider Linear the gold standard in B2B software. Their focus on craft, the end-user experience, and building strongly opinionated software is inspiring a new generation of founders. It's also one of the most beloved and fastest-growing B2B products out there today. In my conversation with Nan Yu (Nan Yu), head of product at Linear, we discuss: 🔸 Why it's a red flag if you think speed and quality are at odds 🔸 Linear’s philosophy on deadlines 🔸 The “double triangle” framework for product management 🔸 Nan’s systematic approach to creativity 🔸 Nan’s approach to landing his dream product roles 🔸 Their unique approach to product development 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Sinch — Build messaging, email, and calling into your product: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Wix Studio — The web creation platform built for agencies: it

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It’s official – I’m excited to introduce Alloy (), the world’s first tool for prototypes that look exactly like your product. All year, PMs and designers have struggled with off-brand prototypes – built with “app builder” tools that look nothing like their existing app. They’re left with confused stakeholders, prototypes they can’t show customers, and demos where they’re apologizing for the design. Your prototypes should look like your actual product. Starting today, they can. Alloy is AI Prototyping built for Product Management: ➤ Capture your product from the browser in one click ➤ Chat to build your feature ideas in minutes ➤ Share a link with teammates and customers ➤ 30+ integrations for PM teams: Linear, Notion, Jira Product Discovery, and more In lab results, Alloy delivers 3-5x more detail than alternatives when you start from an existing product. It’s powered by groundbreaking technology you won’t find in any other tool. Alloy is now available for you to try for free. Comment “ALLOY” and I’ll DM you an invite with instant access and extra credits.

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Today we are publicly launching Adora and announcing US$7m in funding to help product teams visualize their entire product experience. Adora helps world-class teams like Canva, Notion, Replit ⠕, Granola and to deeply understand their user-journeys, uncover friction and center their team around a visual source-of-truth. Today we are opening the doors to everyone 👋 In a world where teams ship faster than ever, it’s near impossible to know what your own product looks like. Different teams building for different users – free vs paid, different experiments, markets and languages. Adora automatically maps your entire live product and website: every journey, screen, modal and variation in real-time. Our AI continuously scans your journeys and scans sessions replays to identify usability issues and opportunities to improve your product. Pinging you directly on Slack so you can catch critical issues before they snowball. Getting set up is easy and there’s no manual event tagging required - everything from your journeys down to every button in your product are automatically captured. We’re so proud of the product we’ve built over the last 2.5 years, and we’re excited to help you build product experiences your users adore 💜

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omar ✌️

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Satya Nadella says LinkedIn merged four job titles, product manager, designer, front-end engineer and back-end engineer, into one: "I'll give you at LinkedIn, we used to have product managers, we had designers, we had front-end engineers, and then we had back-end engineers and so on." "So what we did is we sort of took those first four roles and combined them. In fact, increased scope and said, they're all full-stack builders." "So at the same time, as you can imagine, if we're to build an AI product today, there's a complete new workflow, right? It starts with evals, right?" "So basically, there's this eval to science, to infrastructure." "And so evals are done by these full-stack builders and what have you and product managers in the new form, the infrastructure is built by the systems engineers at the back-end because they support the science that supports the product." "So in some sense, there's a new loop and you have to structurally change." LinkedIn has already put this into hiring. Its Associate Product Manager program is finished, and the replacement, the Associate Product Builder track, teaches code, design and product management at the same time. Evals sit at the front of that workflow rather than the end, so writing them is now part of building the product instead of a check before shipping. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), with the All-In Podcast (The All-In Podcast) at USA House, Davos 2026.

Satya Nadella says LinkedIn merged four job titles, product manager, designer, front-end engineer and back-end engineer, into one: "I'll give you at LinkedIn, we used to have product managers, we had designers, we had front-end engineers, and then we had back-end engineers and so on." "So what we did is we sort of took those first four roles and combined them. In fact, increased scope and said, they're all full-stack builders." "So at the same time, as you can imagine, if we're to build an AI product today, there's a complete new workflow, right? It starts with evals, right?" "So basically, there's this eval to science, to infrastructure." "And so evals are done by these full-stack builders and what have you and product managers in the new form, the infrastructure is built by the systems engineers at the back-end because they support the science that supports the product." "So in some sense, there's a new loop and you have to structurally change." LinkedIn has already put this into hiring. Its Associate Product Manager program is finished, and the replacement, the Associate Product Builder track, teaches code, design and product management at the same time. Evals sit at the front of that workflow rather than the end, so writing them is now part of building the product instead of a check before shipping. - Satya Nadella (Satya Nadella), Chairman and CEO of Microsoft (Microsoft), with the All-In Podcast (The All-In Podcast) at USA House, Davos 2026.

Karl Mehta

529,974 Aufrufe • vor 21 Tagen

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48

SaaS isn’t dead, it just needs to become agent-native. Linear (Linear) is a great example of how: They pivoted the product to be used by both humans and agents, and that has made them one of the premier software tools in the agent-native era. I had Linear’s cofounder and CEO Karri Saarinen on Every 📧's AI & I to talk about how a product management tool for human software developers became an agent-native tool—and how Linear’s trajectory reveals a bright future for SaaS businesses: - Speed means decisions matter more, not less. AI makes it easy to have an idea and build it without considering whether its existence is justified. When ChatGPT was released, SaaS companies were launching their own chatbots left, right, and center. Instead of jumping on the bandwagon, Linear stopped to consider whether the application was useful. (It wasn’t.) - Just because the technology has changed doesn’t mean your mission should. Karri attributes Linear’s success to never losing sight of what matters: helping teams develop great software. Instead of chasing trends, Linear focused on understanding how AI was impacting its customers’ workflows—and updating its product accordingly. - Agents are now first-class users. Linear never tried to change what it was or did well; it just expanded the user base. Companies can now kick off agents inside Linear, manage them, and track what they're working on alongside the humans on the team, which explains why Codex, Coinbase, and Brex all run their agents on Linear. This is a must watch for anyone interested in how an agent-native SaaS company operates. Watch below! Timestamps: Introduction and how Every first discovered Linear: 00:00:39 Why Linear waited to ship AI features instead of rushing to chatbots: 00:02:00 Linear's agent platform and becoming the system that guides AI agents: 00:05:06 Why "SaaS is dead" is a simplistic narrative: 00:07:42 How Linear adopted AI coding tools internally: 00:12:18 AI's impact on product building workflows—speed versus thoughtfulness: 00:17:45 The value of conceptual work and thinking before shipping: 00:22:18 How AI is reshaping Linear's product strategy: 00:29:30 Demo: Linear's agent skills, shared context, and code review workflow: 00:37:18 The future of product development and the enduring role of human judgment: 00:47:48

Dan Shipper 📧

36,359 Aufrufe • vor 5 Monaten

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:

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 📧

58,849 Aufrufe • vor 5 Monaten

Introducing: product videos that update themselves. Clueso can now automatically update all your product videos every time you ship a change to your product. Whenever your engineering team pushes a release to GitHub: - Clueso scans the PR to understand what changed. - It checks those changes against every video on your website, help center, LMS, and more. - It identifies which videos are outdated and tells you what to update. - On your approval, Clueso Agents open your product and re-record the affected sections while preserving all your previous edits - Finally, publish the updated videos everywhere with the Clueso MCP

Introducing: product videos that update themselves. Clueso can now automatically update all your product videos every time you ship a change to your product. Whenever your engineering team pushes a release to GitHub: - Clueso scans the PR to understand what changed. - It checks those changes against every video on your website, help center, LMS, and more. - It identifies which videos are outdated and tells you what to update. - On your approval, Clueso Agents open your product and re-record the affected sections while preserving all your previous edits - Finally, publish the updated videos everywhere with the Clueso MCP

Akash Anand

18,649 Aufrufe • vor 16 Tagen

Everything you’ve ever wanted to know about SAFe and the product owner role, with Melissa Perri (Melissa Perri) 🌶️ Melissa is the author of Escaping the Build Trap, host of the Product Thinking Podcast, and the founder of Product Institute where she works with startups, Fortune 50 companies, and everything in between to help them build better products. In our conversation, we discuss: 🔸 The evolution of and problems with the SAFe framework 🔸 The history of the product owner role 🔸 The differences between product owners and product managers 🔸 How to transition from product owner to product manager 🔸 How large non-tech companies can improve their product practices 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 OneSchema — Import CSV data 10x faster: 🏆 Coda — The all-in-one collaborative workspace:

Everything you’ve ever wanted to know about SAFe and the product owner role, with Melissa Perri (Melissa Perri) 🌶️ Melissa is the author of Escaping the Build Trap, host of the Product Thinking Podcast, and the founder of Product Institute where she works with startups, Fortune 50 companies, and everything in between to help them build better products. In our conversation, we discuss: 🔸 The evolution of and problems with the SAFe framework 🔸 The history of the product owner role 🔸 The differences between product owners and product managers 🔸 How to transition from product owner to product manager 🔸 How large non-tech companies can improve their product practices 🔸 Much more Listen now 👇 - YouTube: - Spotify: - Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 pendo.io — The only all-in-one product experience platform for any type of application: 🏆 OneSchema — Import CSV data 10x faster: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

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Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Launching today: the world’s first fully optimized LLM routing stack that can be embedded directly into your product, Merge Embedded Routing Stack. Model sovereignty is now table stakes for any AI product. Users and companies are demanding full control over the AI models running in your product. Right now, no company is able to do this without massive overhead. Until today. Merge makes it easy for your customers to use your product exactly the way they want to. With a single API, you can: 1. Allow customers to bring their own keys, manage their own budgets, and set policies like fallback rules, model allowlists, and more 2. Let each customer connect and switch their own models, right inside your product 3. Optimize each customer for cost, performance, or capability Without Merge, you’d be: - Building routing policies, provider integrations, and LLM key management - Giving your users zero model independence - Receiving endless customer support tickets asking “can I use 5.6 Sol?” Products that fight their customers' model strategy will lose to products that fit it. Merge is the only place that allows your users to produce the exact results they want, with the models they have access to. Give your customers the advantage, without the massive overhead costs.

Shensi Ding

355,112 Aufrufe • vor 1 Monat

every AI product made you go to it. open a tab. paste your screen. explain your context. wait for an answer. go back to what you were doing. we got tired of that loop. so we built Nino — a Windows AI companion that lives on your desktop. hold Ctrl + Alt. it already sees your screen. just ask. it can see your screen, point at stuff, interact with apps, and run background agents while you keep working. launching today.

every AI product made you go to it. open a tab. paste your screen. explain your context. wait for an answer. go back to what you were doing. we got tired of that loop. so we built Nino — a Windows AI companion that lives on your desktop. hold Ctrl + Alt. it already sees your screen. just ask. it can see your screen, point at stuff, interact with apps, and run background agents while you keep working. launching today.

Karan

189,390 Aufrufe • vor 3 Monaten

We learned how to fly a plane to tell SF one thing. Introducing the Vendo (YC S26) Full-Stack Agentic Interface. A production-ready agent for your users with everything they need. It takes real actions for your users. And it can even build whole new features, micro-apps, and automations, right on top of your product. Built-in permissioning, tool guards, user context, and more. Everything you need for a user-facing agent. One command to install. Open source. Vendo (YC S26) Nour Zahzah

We learned how to fly a plane to tell SF one thing. Introducing the Vendo (YC S26) Full-Stack Agentic Interface. A production-ready agent for your users with everything they need. It takes real actions for your users. And it can even build whole new features, micro-apps, and automations, right on top of your product. Built-in permissioning, tool guards, user context, and more. Everything you need for a user-facing agent. One command to install. Open source. Vendo (YC S26) Nour Zahzah

Yousef

33,047 Aufrufe • vor 16 Tagen

I was at the airport when Nikunj Kothari asked if I knew a way to index iMessage and other local DBs. I didn’t, so I built it. you can now index your iMessage, WhatsApp, Telegram, or any SQLite database and give it as searchable context for your agents. available now on Nozomio Labs.

I was at the airport when Nikunj Kothari asked if I knew a way to index iMessage and other local DBs. I didn’t, so I built it. you can now index your iMessage, WhatsApp, Telegram, or any SQLite database and give it as searchable context for your agents. available now on Nozomio Labs.

Arlan

49,776 Aufrufe • vor 7 Monaten

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Shaun Clowes (Shaun Clowes) built the first-ever B2B growth team, was the first head of growth at Atlassian, CPO at Salesforce’s MuleSoft and at Metromile, and is currently CPO at Confluent. He also built two Reforge courses (on data PM'ing and increasing retention), and also has a sultry Australian accent 👌 In our conversation, we discuss: 🔸 Why most PMs are bad, and how to fix this 🔸 Why he changed his mind about being data-driven 🔸 Why great AI products are all about the data 🔸 Specific ways to leverage AI in product management 🔸 How to build your B2B growth team 🔸 How to choose your next career step 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Enterpret — Transform customer feedback into product growth: 🏆 BuildBetter — AI for product teams: 🏆 Wix Studio — The web creation platform built for agencies:

Lenny Rachitsky

35,599 Aufrufe • vor 1 Jahr

We've got wunderful news: Today, we're releasing Superlist 1.0 – the new home to all your lists. 💥 To-do lists, shopping lists, reading lists, playlists…we all work with lists every day. Superlist brings a modern approach to organizing your work, seamlessly blending personal and professional tasks so you can get it all done in one place. It’s integrated with all the tools you already love to use to keep your life in sync. And our powerful AI features make going through your to do’s much faster and easier, giving you the ultimate luxury in today's fast-paced world: More time to focus on what really matters. Superlist 1.0 is just the beginning. We have plenty of exciting features in the pipeline, but with this release, we’re ready to get new eyes on the product (and of course, to make it possible for all of our old Wunderlist users to take Superlist for a spin!). ❤️ 👉

We've got wunderful news: Today, we're releasing Superlist 1.0 – the new home to all your lists. 💥 To-do lists, shopping lists, reading lists, playlists…we all work with lists every day. Superlist brings a modern approach to organizing your work, seamlessly blending personal and professional tasks so you can get it all done in one place. It’s integrated with all the tools you already love to use to keep your life in sync. And our powerful AI features make going through your to do’s much faster and easier, giving you the ultimate luxury in today's fast-paced world: More time to focus on what really matters. Superlist 1.0 is just the beginning. We have plenty of exciting features in the pipeline, but with this release, we’re ready to get new eyes on the product (and of course, to make it possible for all of our old Wunderlist users to take Superlist for a spin!). ❤️ 👉

Superlist

131,142 Aufrufe • vor 2 Jahren

Most developers know how to ship a feature. Turning every release, demo, and product update into content people can quickly understand is a different job. Fetra AI is built for that second part. It helps teams turn product and brand context into short-form content, then plan, schedule, and publish it from one place. We tested Fetra AI with a sample brand, and two workflows stood out: • Blitz generates a stack of branded video concepts you can review and choose from, instead of starting with an empty prompt. • Viral Remix takes a short reference clip and a product image, then rebuilds the format around your own product. The video below shows that flow, from building the brand profile to generating new concepts and adapting product assets into short-form content. Fetra also includes AI UGC, content planning through Marco, scheduling, and publishing across nine platforms. The value here is less about promising virality and more about reducing the repetitive work between shipping something and turning it into clear, usable content. For indie developers, technical founders, and lean product teams, that can make the content side of building much easier to manage.

GitHub Projects Community

11,484 Aufrufe • vor 24 Tagen

The CPO who regrets that product management exists Tom Verrilli (Tom Verrilli) is Chief Product Officer at Whatnot and a long-time product leader at Twitch and Twitter. We discuss: 🔸 How AI is exposing rampant “product theater” 🔸 The PM skill trending up fastest (hint: systems thinking) 🔸 Why AI’s biggest unlock for PMs is now in data science, not prototyping 🔸 Why you need to stop promoting your A-players out of the work they’re great at 🔸 Why “hire great people and get out of their way” is wrong Full episode for your enjoyment 👇

The CPO who regrets that product management exists Tom Verrilli (Tom Verrilli) is Chief Product Officer at Whatnot and a long-time product leader at Twitch and Twitter. We discuss: 🔸 How AI is exposing rampant “product theater” 🔸 The PM skill trending up fastest (hint: systems thinking) 🔸 Why AI’s biggest unlock for PMs is now in data science, not prototyping 🔸 Why you need to stop promoting your A-players out of the work they’re great at 🔸 Why “hire great people and get out of their way” is wrong Full episode for your enjoyment 👇

Lenny Rachitsky

133,026 Aufrufe • vor 27 Tagen