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Introducing — V0.3.0 Project Caspian 🌊 🔸15+ new sites supporting many regions. 🔸2~5x faster checkout times. 🔸New loopholes, bypasses, monitoring methods. 🔸Major Backend + Frontend rewrite/overhaul. Invitations out now 📩 Retweet & Reply for a FREE LIFETIME Copy 🪸

Reselling News

23,249 subscribers

90,937 views • 3 years ago •via X (Twitter)

Science & Technology

Anya Rossi• Live Now

Private livecam show

10 Comments

luk4s_co3 years ago

Would like to try it

Milky3 years ago

Who made this graphic content? I would love to know. It’s amazing!

2=13 years ago

If this joke makes you laugh, you have to give me the LT key: What does a horny frog say? Rub-it

Andy Chesak3 years ago

@requiredtwitac1 @eatated @lawansnkrhea @JordanSinko

Ludo73 years ago

I’m here!

Crimzon3 years ago

Pray @DeeBergen

invisible3 years ago

Would love to be apart

Tang3 years ago

@FredBrzl

GameOfTours3 years ago

Hope to join your family 🤞🤞

humblegod3 years ago

Let me in 😫

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Lenny Rachitsky

197,204 views • 11 months ago

.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:

.bolt.new is the second fastest-growing product in history—only behind ChatGPT. They hit $20M ARR just 60 days after launching the product, and ~$40M ARR (and 1 million DAU) just five months in 🤯 The craziest part is that they almost shut down the company. After seven years of building and iterating, they weren't getting anywhere. It turned out that what they'd been building was exactly what you need to build AI apps in the browser at scale. So they decided to give it one last shot. An overnight success, seven years in the making. In my conversation with Eric Simons (founder and CEO), we discuss: 🔸 Why Anthropic’s 3.5 Sonnet model was the critical breakthrough that made AI-generated code production-ready and unlocked the entire text-to-app market 🔸 How Bolt leverages WebContainer technology—a browser-based operating system developed over seven years—to create a dramatically faster, more reliable AI coding experience than competitors 🔸 How Bolt reached nearly $40M ARR and 3 million registered users in just five months with a team of only 15 to 20 people 🔸 Why PMs may be better positioned than engineers in the AI era 🔸 How AI will dramatically reshape company org charts 🔸 Why Eric lived at AOL’s HQ for many months 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 @Get_Eppo — Run reliable, impactful experiments: 🏆 Fundrise Flagship Fund — Invest in $1.1 billion of real estate: 🏆 OneSchema — Import CSV data 10x faster:

Lenny Rachitsky

162,790 views • 1 year ago

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

NotebookLM is one of the most delightful, inspiring, and viral AI products out there right now, and I got a chance to chat with the PM behind the product, Raiza Martin (@raiza_abubakar). In our conversation, we cover: 🔸 The origin story of NotebookLM 🔸 The future road map for NotebookLM 🔸 How Google Labs operates differently from the rest of Google 🔸 The development of the “Audio Overviews” feature 🔸 Key metrics and growth of NotebookLM 🔸 Stories about collaborating with author Steven Johnson 🔸 Navigating potential misuse of AI technology 🔸 More Listen now 👇 - YouTube: - Spotify: - Apple: Raiza is a senior product manager for AI at Google Labs for AI at Google Labs, where she leads the team behind NotebookLM, an AI-powered research tool that includes a mind-blowing podcast-on-demand feature called “Audio Overviews.” NotebookLM started as a 20% project and has grown into a product that’s spreading across social media and has a Discord server with over 60,000 users. Raiza previously worked on AI Test Kitchen and has a background in startups, payments, and ads. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Explo — Embed customer-facing analytics in your product: 🏆 Sprig — Build products for people, not data points: 🏆 Sidebar — Accelerate your career by surrounding yourself with extraordinary peers: Some key takeaways: 1. Embrace a startup mentality within large organizations: Google Labs operates with fewer processes and more agility than typical Google teams. This allows them to move faster and iterate quickly, much like a startup. 2. Often, powerful technology is already available; the magic lies in how you interact with it. For instance, by integrating powerful audio models with existing LLMs, NotebookLM created an innovative way for users to interact with content. Look for unique applications of the tools you already have. 3. Don’t wait for a perfect launch. Start with a working version of your product and use user feedback to iterate and improve. This approach can reveal unexpected insights and user preferences, helping you shape the final product.

Lenny Rachitsky

75,439 views • 1 year ago

.Intercom was on the brink of death—five straight quarters of $0 net new ARR, approaching negative growth. Then they went all‑in on AI. 6 weeks after GPT‑3.5 launched, they shipped a working prototype of Fin (Intercom’s AI agent). Fin grew from $1M → $12M ARR in 12 months. Now at mid–8 figures and >300% growth, it's on track to cross $100M ARR in less than 3 quarters, and will be growing faster than every public software company by year-end. In our real-talk conversation, Eoghan McCabe shares the brutal reality of transforming a late-stage, plateauing SaaS business into an AI-first company. What you'll learn: 🔸 Why Eoghan believes most late-stage companies won’t survive the AI transition 🔸 The “founder mode” transformation that required firing 40% of staff and resulted in 98% employee satisfaction 🔸 Why having “nothing to lose” is the ultimate advantage in AI transformation 🔸 How they transformed from a plateauing SaaS business to an AI-first company growing at 300%+ 🔸 How Intercom’s pricing evolved from “the most hated in SaaS” to a model for every AI company 🔸 How 12 years of therapy and a period of “ego death” shaped Eoghan’s leadership approach Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Great Question — Empower everyone to run great research: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 DX — The developer intelligence platform designed by leading researchers:

.Intercom was on the brink of death—five straight quarters of $0 net new ARR, approaching negative growth. Then they went all‑in on AI. 6 weeks after GPT‑3.5 launched, they shipped a working prototype of Fin (Intercom’s AI agent). Fin grew from $1M → $12M ARR in 12 months. Now at mid–8 figures and >300% growth, it's on track to cross $100M ARR in less than 3 quarters, and will be growing faster than every public software company by year-end. In our real-talk conversation, Eoghan McCabe shares the brutal reality of transforming a late-stage, plateauing SaaS business into an AI-first company. What you'll learn: 🔸 Why Eoghan believes most late-stage companies won’t survive the AI transition 🔸 The “founder mode” transformation that required firing 40% of staff and resulted in 98% employee satisfaction 🔸 Why having “nothing to lose” is the ultimate advantage in AI transformation 🔸 How they transformed from a plateauing SaaS business to an AI-first company growing at 300%+ 🔸 How Intercom’s pricing evolved from “the most hated in SaaS” to a model for every AI company 🔸 How 12 years of therapy and a period of “ego death” shaped Eoghan’s leadership approach Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Great Question — Empower everyone to run great research: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 DX — The developer intelligence platform designed by leading researchers:

Lenny Rachitsky

182,396 views • 11 months ago

"I don't want to look at the bricks around me and ask how high I can stack them. I want to design the most magical, wonderful, mythical castle on a hill and then figure out how to build it." Melanie Perkins (Melanie Perkins) is co-founder and CEO of Canva, one of the hottest private companies in the world—last valued at $42B, generating $3.3B in ARR, profitable for 8 years straight—and is on track to become the most successful female founder in history. But it wasn't always so rosy. She was rejected by over 100 investors, her team had to spend 2 years rewriting their product from scratch (unable to ship anything during that time, something they expected to take 6 months), and they went through a major pivot a few years in. In a rare interview, Melanie and I discuss: 🔸 How “Column B” has been the key to Canva's success 🔸 How Canva survived a painful two-year period without shipping any new features 🔸 How to build a ladder to the moon with small rungs 🔸 Canva’s “two-step plan”: build one of the world’s most valuable companies, then do the most good possible 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence:

"I don't want to look at the bricks around me and ask how high I can stack them. I want to design the most magical, wonderful, mythical castle on a hill and then figure out how to build it." Melanie Perkins (Melanie Perkins) is co-founder and CEO of Canva, one of the hottest private companies in the world—last valued at $42B, generating $3.3B in ARR, profitable for 8 years straight—and is on track to become the most successful female founder in history. But it wasn't always so rosy. She was rejected by over 100 investors, her team had to spend 2 years rewriting their product from scratch (unable to ship anything during that time, something they expected to take 6 months), and they went through a major pivot a few years in. In a rare interview, Melanie and I discuss: 🔸 How “Column B” has been the key to Canva's success 🔸 How Canva survived a painful two-year period without shipping any new features 🔸 How to build a ladder to the moon with small rungs 🔸 Canva’s “two-step plan”: build one of the world’s most valuable companies, then do the most good possible 🔸 So much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Stripe — Helping companies of all sizes grow revenue: 🏆 Justworks — The all-in-one HR solution for managing your small business with confidence:

Lenny Rachitsky

128,791 views • 9 months ago

.Uber's CPO Sachin Kansal is an inspiration for anyone looking to build a culture of dogfooding He personally drives Uber customers and delivers Uber Eats orders every month (he's approaching 800 trips so far), then writes detailed reports noting all of the friction points and opportunities for improvement, assigns owners, and follows fixes to closure. "Call it dogfooding, call it an obsession about the products that we ask our end users to use, and we should be using it ourselves. The app just feels different when it's in a moving car going 70 miles per hour." Learn: 🔸 How to operationalize a culture of dogfooding 🔸 How to shift focus from outputs to inputs 🔸 How Uber changed its culture to focus on profitability 🔸 Uber’s hybrid marketplace vision for autonomy 🔸 What to do when data says “no” but your gut says “yes” 🔸 Career advice: maximize cycles 🔸 How to build a “Ship, ship, ship” mentality 🔸 AI as a research assistant, not an oracle 🔸 Also: Two Uber rider etiquette tips Listen now 👇 • YouTube: • Spotify: • Apple: Some takeaways: 1. “Ship, ship, ship” = cut decision latency: Daily stand-ups, rapid product reviews, and a strict two-way-door mindset slash cycle time. Sachin will even draft a 15-page PRD over a weekend if it unblocks a team—but insists that’s the exception, not the rule. 2. Inputs over outputs: Whether weight loss, grades, or retention metrics, focus on the controllable inputs; outputs follow. This motto is the one he drills into his kids too. 3. Hybrid marketplace vision for autonomy: Uber divested its in-house AV unit and now partners with over 15 AV companies. A “hybrid network” of human drivers plus robotaxis smooths supply and demand (humans fill peaks; AVs stay busy off-peak). A similar model is rolling out in delivery via sidewalk robots. 4. Profitability through ruthless efficiency: Covid forced Uber to drop unprofitable bets (AV, Elevate), batch deliveries, refine promo spend, and trim support and payment costs. Today, profitability funds new bets without sacrificing margin discipline. 5. Career advice for PMs: Optimize for shipping velocity early. Five product cycles in three years teach the thousands of micro-decisions that build judgment (product sense) faster than any course. 6. AI already boosting PM workflows: Sachin’s teams use ChatGPT and Gemini for mock drafts, research synthesis, deep research “thought partner” prompts, and long-doc summarization—freeing time for judgment calls. 7. Empathy beats ego: Users spend minutes, not their lives, inside your product. Your job is to dazzle them in that tiny window, not expect them to think about you all day. 8. Quick Uber etiquette tips. Riders: Ask before taking a call; don’t slam the door. Eats customers: Turn on your porch light so couriers can find you. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Stripe — Financial infrastructure to grow your revenue: 🏆 Coda — The all-in-one collaborative workspace:

.Uber's CPO Sachin Kansal is an inspiration for anyone looking to build a culture of dogfooding He personally drives Uber customers and delivers Uber Eats orders every month (he's approaching 800 trips so far), then writes detailed reports noting all of the friction points and opportunities for improvement, assigns owners, and follows fixes to closure. "Call it dogfooding, call it an obsession about the products that we ask our end users to use, and we should be using it ourselves. The app just feels different when it's in a moving car going 70 miles per hour." Learn: 🔸 How to operationalize a culture of dogfooding 🔸 How to shift focus from outputs to inputs 🔸 How Uber changed its culture to focus on profitability 🔸 Uber’s hybrid marketplace vision for autonomy 🔸 What to do when data says “no” but your gut says “yes” 🔸 Career advice: maximize cycles 🔸 How to build a “Ship, ship, ship” mentality 🔸 AI as a research assistant, not an oracle 🔸 Also: Two Uber rider etiquette tips Listen now 👇 • YouTube: • Spotify: • Apple: Some takeaways: 1. “Ship, ship, ship” = cut decision latency: Daily stand-ups, rapid product reviews, and a strict two-way-door mindset slash cycle time. Sachin will even draft a 15-page PRD over a weekend if it unblocks a team—but insists that’s the exception, not the rule. 2. Inputs over outputs: Whether weight loss, grades, or retention metrics, focus on the controllable inputs; outputs follow. This motto is the one he drills into his kids too. 3. Hybrid marketplace vision for autonomy: Uber divested its in-house AV unit and now partners with over 15 AV companies. A “hybrid network” of human drivers plus robotaxis smooths supply and demand (humans fill peaks; AVs stay busy off-peak). A similar model is rolling out in delivery via sidewalk robots. 4. Profitability through ruthless efficiency: Covid forced Uber to drop unprofitable bets (AV, Elevate), batch deliveries, refine promo spend, and trim support and payment costs. Today, profitability funds new bets without sacrificing margin discipline. 5. Career advice for PMs: Optimize for shipping velocity early. Five product cycles in three years teach the thousands of micro-decisions that build judgment (product sense) faster than any course. 6. AI already boosting PM workflows: Sachin’s teams use ChatGPT and Gemini for mock drafts, research synthesis, deep research “thought partner” prompts, and long-doc summarization—freeing time for judgment calls. 7. Empathy beats ego: Users spend minutes, not their lives, inside your product. Your job is to dazzle them in that tiny window, not expect them to think about you all day. 8. Quick Uber etiquette tips. Riders: Ask before taking a call; don’t slam the door. Eats customers: Turn on your porch light so couriers can find you. Thank you to our wonderful sponsors for supporting the podcast: 🏆 Paragon — Ship every SaaS integration your customers want: 🏆 Stripe — Financial infrastructure to grow your revenue: 🏆 Coda — The all-in-one collaborative workspace:

Lenny Rachitsky

362,605 views • 1 year ago

We just launched our new website along with some great changes: 1. Added /themes page where you can grab our free shadcn / ui themes. 2. The /academy is now free for everyone. You can learn the Figma to shadcn/ui process with our short video guides. 3. The site is rebuilt from the ground up with Next.js 15, React 19, and shadcn/ui. The new stack gives us faster load times, better accessibility, and a more cohesive experience across all pages. I'm already working on more themes, expanded docs, and new Pro Blocks. Thanks for being here and supporting our small project! More to come!

We just launched our new website along with some great changes: 1. Added /themes page where you can grab our free shadcn / ui themes. 2. The /academy is now free for everyone. You can learn the Figma to shadcn/ui process with our short video guides. 3. The site is rebuilt from the ground up with Next.js 15, React 19, and shadcn/ui. The new stack gives us faster load times, better accessibility, and a more cohesive experience across all pages. I'm already working on more themes, expanded docs, and new Pro Blocks. Thanks for being here and supporting our small project! More to come!

Matt

44,889 views • 9 months ago

ChatGPT: Opens a new tab, you copy-paste. Siri: Transcribes text, you still do the work. Lemon: Completes the entire task while you keep working. Traditional voice assistants are convenient to use. But they cannot complete tasks for you. That's why Lemon stands out. Lemon is an AI agent that completes tasks from voice commands, without opening new tabs or switching apps. Press the fn key. Say what you need done. Watch it happen: ➟ "Reply to Sarah's email and tell her I'll have the report by Friday" — sent ➟ "Create a project brief for the new client" — done ➟ "Search for the latest stats on AI adoption" — on your screen ➟ "Make this email sound more professional" — edited ➟ "Give me three angles for this campaign" — ideas generated ➟ "Write this paragraph in a more casual tone" — rewritten No new tabs. No manual steps. No switching back and forth. Lemon works across every app on your Mac. The results: ✓ Users save 2+ hours daily ✓ Reply to emails 12x faster ✓ Open 70% fewer tabs ✓ Type 5x faster than traditional workflows Your voice isn't just for dictation anymore. It's a faster way to complete your work tasks. 📌 Try Lemon (it's free for 30 days): 🔄 Repost to help others work faster — #AI #Agent #LemonPartnership

ChatGPT: Opens a new tab, you copy-paste. Siri: Transcribes text, you still do the work. Lemon: Completes the entire task while you keep working. Traditional voice assistants are convenient to use. But they cannot complete tasks for you. That's why Lemon stands out. Lemon is an AI agent that completes tasks from voice commands, without opening new tabs or switching apps. Press the fn key. Say what you need done. Watch it happen: ➟ "Reply to Sarah's email and tell her I'll have the report by Friday" — sent ➟ "Create a project brief for the new client" — done ➟ "Search for the latest stats on AI adoption" — on your screen ➟ "Make this email sound more professional" — edited ➟ "Give me three angles for this campaign" — ideas generated ➟ "Write this paragraph in a more casual tone" — rewritten No new tabs. No manual steps. No switching back and forth. Lemon works across every app on your Mac. The results: ✓ Users save 2+ hours daily ✓ Reply to emails 12x faster ✓ Open 70% fewer tabs ✓ Type 5x faster than traditional workflows Your voice isn't just for dictation anymore. It's a faster way to complete your work tasks. 📌 Try Lemon (it's free for 30 days): 🔄 Repost to help others work faster — #AI #Agent #LemonPartnership

Andrew Bolis

91,782 views • 5 months ago

🚨🇷🇺 “Russia will run out of tanks in 3 days” — the West’s lie exposed Western analysts who recently claimed Russia had “three days of tanks left” are now admitting something very different. By the end of 2025, Russia has MORE ARMORED VEHICLES than it had at the start of 2022. What makes this more revealing is that these conclusions directly contradict years of claims about “running out of tanks” and an allegedly forced shift to small infantry infiltration tactics. Several key factors stand out. 🔸 Losses are being offset faster than expected Vehicle losses are compensated not only through new production, but through a well-organized recovery and repair system. Russian repair and evacuation units operate almost as a separate service branch. Damaged vehicles are often pulled off the battlefield before an area is fully taken and returned to service within weeks — sometimes within DAYS. 🔸 Territorial control changes the math When you hold the battlefield, you recover your own damaged equipment and capture enemy hardware. The opponent, by contrast, abandons and writes off theirs. This is basic WAR MATHEMATICS that was widely ignored for years. 🔸 Repair and modernization beat stockpile myths The focus on repair and upgrades has proven more effective than endless claims about depleted Soviet-era reserves. Instead of “running out,” armored fleets are being recycled, modernized, and sustained. The picture that emerges is uncomfortable for many narratives. Russia’s armored force isn’t collapsing — it’s being SUSTAINED AND REBUILT. If the tank shortage was wrong, what else was misjudged?

🚨🇷🇺 “Russia will run out of tanks in 3 days” — the West’s lie exposed Western analysts who recently claimed Russia had “three days of tanks left” are now admitting something very different. By the end of 2025, Russia has MORE ARMORED VEHICLES than it had at the start of 2022. What makes this more revealing is that these conclusions directly contradict years of claims about “running out of tanks” and an allegedly forced shift to small infantry infiltration tactics. Several key factors stand out. 🔸 Losses are being offset faster than expected Vehicle losses are compensated not only through new production, but through a well-organized recovery and repair system. Russian repair and evacuation units operate almost as a separate service branch. Damaged vehicles are often pulled off the battlefield before an area is fully taken and returned to service within weeks — sometimes within DAYS. 🔸 Territorial control changes the math When you hold the battlefield, you recover your own damaged equipment and capture enemy hardware. The opponent, by contrast, abandons and writes off theirs. This is basic WAR MATHEMATICS that was widely ignored for years. 🔸 Repair and modernization beat stockpile myths The focus on repair and upgrades has proven more effective than endless claims about depleted Soviet-era reserves. Instead of “running out,” armored fleets are being recycled, modernized, and sustained. The picture that emerges is uncomfortable for many narratives. Russia’s armored force isn’t collapsing — it’s being SUSTAINED AND REBUILT. If the tank shortage was wrong, what else was misjudged?

NewRulesGeopolitics

35,028 views • 6 months ago

$"Close to 100% of the features we build end up being used by a significant number of people." —Eilon Reshef, co-founder and CPO of Gong To make this happen, every product team at Gong works with 6-12 design partners on every new feature and product idea. As a result, unlike what most companies experience, almost everything they build ends up being widely adopted. In my conversation with Eilon, we dig into: 🔸 How specifically Gong's teams work with design partners 🔸 Lessons learned from being early in AI 🔸 Gong's early super-narrow ICP 🔸 Why you should make big decisions quickly 🔸 His “spiral method” for learning complex topics fast 🔸 How and why Eilon encourages radical autonomy 🔸 More Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Think Fast, Talk Smart: The Podcast — Tools and techniques to help you communicate more effectively: Some key takeaways: 1. At Gong, product teams are organized into autonomous “pods,” each consisting of a product manager, UX designer, a few engineers (front-end and back-end), and fractional roles like analysts and writers. Each pod is assigned a clear job-to-be-done, such as improving sales engagement or forecasting accuracy, and takes full ownership of the product development process. Whether it’s improving sales engagement or forecasting accuracy, each pod runs with full ownership. This is how you get teams to move fast and stay aligned. 2. Gong’s pods don’t just build in isolation—they partner with 12 to 20 design partners (existing customers) who give feedback every step of the way. This constant validation keeps the product on track, with about 95% of features actually getting used. 3. If you want more autonomy and speed, you’ve got to trust your team and give them the freedom to experiment. This means that as a leader, you need to step back, give up some visibility, and accept that you’ll make a few mistakes. The tradeoff is worth it—higher velocity, better morale, and more impactful products. 4. To quickly learn a complex topic, use the “spiral method.” Start by speaking with one expert, then ask for recommendations on who else to talk to. Continue having conversations, gradually deepening your understanding. As you hear the same patterns and insights from multiple sources, you’ll know you’ve reached a sufficient depth to make informed decisions. This iterative approach helps you gather knowledge without aiming for perfection right away. 5. When starting out, extreme focus on a specific customer profile can drive faster success. Gong, for example, initially targeted U.S. companies selling software valued between $1,000 to $100,000 via Webex, narrowing their potential customer base to just 5,000 people. This laser focus enabled quicker product-market fit, word-of-mouth growth, a clear product direction, and easier customer acquisition, demonstrating the power of precision in the early stages. 6. When faced with a 51/49 decision, make it quickly. The more time you spend deliberating, the more energy you waste without improving the decision quality. This approach doesn’t work for massive, one-way decisions like expanding to a new market or acquiring a company, but for most day-to-day decisions, don’t wait until everything’s perfect. Commit, move forward, and adjust as you go.$

"Close to 100% of the features we build end up being used by a significant number of people." —Eilon Reshef, co-founder and CPO of Gong To make this happen, every product team at Gong works with 6-12 design partners on every new feature and product idea. As a result, unlike what most companies experience, almost everything they build ends up being widely adopted. In my conversation with Eilon, we dig into: 🔸 How specifically Gong's teams work with design partners 🔸 Lessons learned from being early in AI 🔸 Gong's early super-narrow ICP 🔸 Why you should make big decisions quickly 🔸 His “spiral method” for learning complex topics fast 🔸 How and why Eilon encourages radical autonomy 🔸 More Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS — Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Vanta — Automate compliance. Simplify security: 🏆 Think Fast, Talk Smart: The Podcast — Tools and techniques to help you communicate more effectively: Some key takeaways: 1. At Gong, product teams are organized into autonomous “pods,” each consisting of a product manager, UX designer, a few engineers (front-end and back-end), and fractional roles like analysts and writers. Each pod is assigned a clear job-to-be-done, such as improving sales engagement or forecasting accuracy, and takes full ownership of the product development process. Whether it’s improving sales engagement or forecasting accuracy, each pod runs with full ownership. This is how you get teams to move fast and stay aligned. 2. Gong’s pods don’t just build in isolation—they partner with 12 to 20 design partners (existing customers) who give feedback every step of the way. This constant validation keeps the product on track, with about 95% of features actually getting used. 3. If you want more autonomy and speed, you’ve got to trust your team and give them the freedom to experiment. This means that as a leader, you need to step back, give up some visibility, and accept that you’ll make a few mistakes. The tradeoff is worth it—higher velocity, better morale, and more impactful products. 4. To quickly learn a complex topic, use the “spiral method.” Start by speaking with one expert, then ask for recommendations on who else to talk to. Continue having conversations, gradually deepening your understanding. As you hear the same patterns and insights from multiple sources, you’ll know you’ve reached a sufficient depth to make informed decisions. This iterative approach helps you gather knowledge without aiming for perfection right away. 5. When starting out, extreme focus on a specific customer profile can drive faster success. Gong, for example, initially targeted U.S. companies selling software valued between $1,000 to $100,000 via Webex, narrowing their potential customer base to just 5,000 people. This laser focus enabled quicker product-market fit, word-of-mouth growth, a clear product direction, and easier customer acquisition, demonstrating the power of precision in the early stages. 6. When faced with a 51/49 decision, make it quickly. The more time you spend deliberating, the more energy you waste without improving the decision quality. This approach doesn’t work for massive, one-way decisions like expanding to a new market or acquiring a company, but for most day-to-day decisions, don’t wait until everything’s perfect. Commit, move forward, and adjust as you go.

Lenny Rachitsky

47,433 views • 1 year ago