Everything Product Podcast

Ever wondered how Amazon builds generative AI for millions of sellers? Or how Instagram's recommendation feed knows exactly what you want to watch next? In this deep-dive conversation, we sit down with AI/ML leaders from Amazon and Meta to uncover the real strategies behind building AI products at scale.Anita shares her journey launching Amazon's first AI image generation solution for sellers, while our Meta engineer breaks down distributed inference and how Instagram's recommendation models actually work.Key Insights:→ Why you should validate AI ideas with free tools (Midjourney, Canva) BEFORE building→ The real difference between AI metrics vs. business metrics→ How to define "quality" when there's no industry benchmark→ Why giving users full control over prompts is a mistake→ How Instagram updates its models without losing your preferencesTimeline:0:00 - Introduction: Building AI products at scale1:19 - Launching Amazon's first AI image generation tool2:06 - Balancing innovation with customer problems3:16 - The problem: Small sellers can't afford graphic designers4:03 - Real-world example: Food tech & restaurant images5:07 - Validating AI with prototypes before building5:24 - KEY INSIGHT: Use Midjourney/Canva to validate first6:12 - Quality dimensions: Aesthetics, relevance, proportions8:48 - Product manager's dilemma: AI metrics vs. business metrics9:30 - Creating benchmarks when none exist10:30 - Responsible AI: Safety, watermarks, artifacts11:04 - Business metrics: Adoption, engagement, retention12:05 - Defining accuracy in generative AI13:56 - Don't make users prompt engineers (abstract the complexity)15:26 - Fundamentals of inference explained16:09 - Training vs. Inference: The dog analogy17:00 - Why training and inference aren't binary18:43 - How Meta does distributed inference19:32 - How Instagram recommendations actually work20:26 - Snapshot updates: Keeping models fresh21:01 - Replacing models without losing user context22:38 - What is distributed inference? Tree structure explained23:31 - How Instagram serves personalized content at scaleWho This Is For:Product managers building AI/ML productsEngineers working on generative AIStartup founders exploring AI solutionsAnyone curious about how Big Tech AI actually worksResources Mentioned:Stable Diffusion aesthetic modelsMidjourney for prototypingCanva for quick validation🔔 Subscribe for more deep dives into AI product development!#GenerativeAI #MachineLearning #ProductManagement #Amazon #Meta #Instagram

Discover the inspiring entrepreneurship journeys of two successful founders who left their corporate careers to build thriving startups. Nathan shares how he transitioned from Meta and Microsoft to launch My Garden Emporium, solving urban sustainability challenges in Bangalore. Chris reveals how he built a multi-million dollar B2B gifting platform despite having no product or engineering background.In this podcast, learn about:✅ Overcoming the "golden handcuffs" of corporate life✅ Finding product-market fit and your first 100 customers✅ Pricing strategies that led to 10x growth✅ The minimum regret framework for decision-making✅ Pivoting quickly and iterating fast✅ Hiring your first sales team and scaling revenueTimeline:0:00 - Introduction: The entrepreneurship journey begins0:33 - Nathan's early startup: Computer assembly business in 20031:15 - Moving from Meta/Microsoft to entrepreneurship2:06 - The 20-year corporate career and "golden handcuffs"3:23 - The minimum regret framework for quitting your job4:52 - Why My Garden Emporium? Solving urban sustainability6:54 - From single product to 5 categories in 4 months8:56 - Chris's journey: Building without technical background9:30 - Overcoming imposter syndrome as a salesperson founder10:31 - Finding your first customers through cold outreach11:16 - Getting 50 customers from 200 outreach attempts (25% conversion!)12:28 - Pricing lessons: From $100 to $2,000/month without losing customers13:25 - Transitioning from founder-led sales to hiring sales teams14:29 - Expanding from gift cards to warehouse model15:02 - Product roadmap strategy and building your vision15:26 - Backwards math: Scaling to $1M, $10M, $100M revenueKey Takeaways:Start with MVP and iterate quickly - both founders validated ideas before going all-inCustomer discovery is crucial - talk to potential buyers before buildingPrice confidently - underpricing can limit growth potentialThe worst case? You can always return to corporate if startup failsBuild what you know - leverage your domain expertise🔔 Subscribe for more founder stories, startup strategies, and entrepreneurship insights!#Entrepreneurship #StartupJourney #ProductMarketFit #FounderStories #CorporateToStartupTagsentrepreneurship journey, startup founder stories, leaving corporate job, product market fit, finding first customers, startup pricing strategy, B2B SaaS startup, minimum regret framework, imposter syndrome entrepreneur, non technical founder, customer acquisition strategy, cold outreach tactics, scaling startup revenue, founder led sales, hiring sales team, MVP development, fast iteration startup, pivot strategy, urban sustainability startup, garden emporium, B2B gifting platform, Meta to startup, Microsoft to entrepreneur, Bangalore startups, Indian entrepreneurship, startup validation, customer discovery process, SaaS pricing model, from zero to million revenue, startup growth strategy, quitting corporate life, golden handcuffs, career transition, building without coding, sales background founder, product management career, tech entrepreneurship India, e-commerce platform launch, landscaping business, startup challenges, entrepreneur mindset, risk taking in business, startup success stories, bootstrapping strategies, go to market fit, ideal customer profile, early stage funding, revenue scaling tactics, subscription business model, warehouse logistics startup, work and upwork hiring, remote team building, startup founder advice, leaving big tech companies

Build production-ready websites without writing code! In this episode, we explore how AI coding tools like Lovable and Replit are transforming how Product Managers work. Watch us build real websites in real-time and learn which tool is best for prototyping, MVP development, and design handoffs.🎯 What You'll Learn:Build a fully functional website in under 60 minutesCompare Lovable vs Replit for product prototypingBest practices for prompting AI coding agentsHow to integrate databases, authentication, and APIs without codingWhen to use AI tools vs hiring engineers💡 Key Takeaways for PMs:Chat with AI agents BEFORE building (treat them like junior developers)Create PRDs and get AI to review the plan firstFront-end prototyping is exceptional, backend integration needs patienceAlways enable confirmation mode to prevent unexpected changes🛠️ Tools Discussed:Lovable (lovable.dev) - User-friendly, fast prototypingReplit (replit.com) - Developer-friendly with built-in deploymentAnthropic's Claude for PRD generationSupabase for authentication & database⏱️ Timestamps:0:00 - Introduction: Building Without Engineers1:04 - Real Experience with Lovable & AI Coding2:52 - Life Before vs After AI Coding Tools4:26 - Best Practice: Treat AI Like Your Developer5:18 - Live Demo: Building with Replit8:54 - Database, Authentication & Deployment12:00 - Building a Podcast Website Live16:00 - Anthropic Computer Use Integration16:55 - Lovable Demo: Better UI, Faster Results19:43 - YouTube API Integration Discussion📌 Featured Projects Built:✅ Prompt Template Marketplace for PMs (60 min build)✅ Podcast Website with Episode Management (13 min build)✅ User Authentication & Database Integration✅ Search, Filter & Rating Functionality🔗 Resources Mentioned:Replit Templates & DocumentationLovable PlatformYouTube API IntegrationSupabase Backend Services💬 Your Turn:Which AI coding tool should we explore next? Comment below!🎙️ About Everything Product:Your go-to podcast for Product Management insights, AI tools, and career growth. Hosted by three experienced PMs sharing real experiences and practical advice.👍 Like this video? Subscribe for weekly PM content!🔔 Hit the bell icon to never miss an episode!#ProductManagement #AITools #NoCode #Lovable #Replit #ProductManager #TechForPMs #AIForProductManagers #WebDevelopment #Prototyping

In this episode, we dive deep into how to crack Product Management interviews at Amazon and other top tech companies. You’ll learn how to structure behavioral answers using Amazon’s Leadership Principles, how to think through product design prompts step-by-step, and what interviewers are really looking for when they ask about impact, metrics, and prioritization. Featuring insights from experienced product leads across Amazon, Google, Intuit, and Tesla — this guide helps you master both the behavioral and product sense rounds with clarity and confidence.What You’ll Learn• The mindset Amazon looks for in Product Managers and why leadership principles matter so much.• The best structure for behavioral answers (STAR and CAR) and how to quantify your impact.• A repeatable framework for tackling product design questions clearly and confidently.• How to balance user needs, business goals, and technical feasibility in your answers.• Real examples — from Uber Eats redesign to Trader Joe’s delivery app — showing how to frame your thinking.• A preparation roadmap for practicing and building your story bank before your next interview.Timestamps00:00 – Introduction: What Amazon evaluates in PM interviews02:00 – Behavioral Interviews: Leadership principles and storytelling frameworks05:00 – Product Design Round: Framework for problem solving and product sense10:00 – Example: Improving Uber Eats and breaking down probing questions15:00 – Example: Trader Joe’s delivery app and prioritization under constraints18:00 – Final Tips: Practice structure, quantify results, and stay under two minutes per answerTakeawaysBuild a library of 8–10 behavioral stories that map directly to Amazon’s Leadership Principles.Use STAR or CAR format to keep answers concise and measurable.Always define success metrics when proposing product ideas or improvements.Focus on clarity over creativity — structure wins interviews.Rehearse stories aloud and record yourself to improve delivery and timing.If you found this episode helpful, hit subscribe and drop a comment telling us which leadership principle you find toughest to demonstrate — we’ll break it down in the next video.Tagsproduct management, amazon interview, product design, behavioral interview, amazon leadership principles, pm interview, interview preparation, star format, car format, product sense, product manager, career advice, google interview, tesla interview, intuit, product design framework, probing questions, leadership principles, customer obsession, disagree and commit, interview tips, mock interview, product strategy, product thinking, ux

In this episode of Everything Product, hosts Sid and Funny discuss how AI tools are revolutionizing the way aspiring product managers can build portfolio projects. They demonstrate how tools like Replit and Lovable AI allow anyone to create functional websites in under an hour without coding knowledge, solving the classic "chicken and egg" problem of needing experience to get a product management job. Watch as they build podcast websites in real-time and compare the developer-focused Replit with the more user-friendly Lovable AI.For more updates from Everything ProductCheckout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcastMeet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oIf you're an aspiring product manager looking to build your portfolio or anyone interested in the latest AI website builders, this episode shows you how to create impressive projects with minimal effort. Subscribe for more content on product management and AI tools!Timestamps0:00 - Introduction to the podcast and hosts0:57 - The "chicken and egg" problem in product management2:11 - How AI has changed building product prototypes3:57 - Sid's experience building a prompt template website with Replit6:05 - Demonstration of the website built with Replit7:17 - How Replit handles database and user authentication8:36 - Tour of Replit features (deployments, resources, bounties)10:36 - Live demo: Building a podcast website with Replit13:41 - Discussion about API connections in Replit15:18 - Mention of Anthropic's "Computer Use" project16:07 - Funny's experience with Lovable AI website builder17:43 - Comparing UI and features of Lovable vs Replit18:33 - Exploring the podcast website created by Lovable19:39 - Discussion about database connections and authentication20:09 - Closing remarks and call to actionRecommended Tags#ProductManagement #AITools #WebsiteBuilder #NoCode #ReplitAI #LovableAI #ProductPortfolio #TechStartup #AIWebDevelopment #SideProjects #ProductDesign #WebPrototyping #AIAgents #TechDemo #ProductManagerSkills

In this episode, we dive deep into how AI shortcuts and tools like Perplexity are completely transforming the way we manage emails, markets, meetings, and research — no code, no friction, just prompts.We explore how users can now do Bloomberg-level financial analysis, run competitor watch reports, and even automate daily workflows — directly inside Perplexity.If you’ve ever wondered how to use AI agents and shortcuts for real-world productivity — this episode is for you.⏱️ Timestamps0:00 – The rise of email automation with AI0:40 – Why shortcuts are redefining productivity1:20 – Using Perplexity for market pulse and stock analysis2:45 – Automating financial summaries like Bloomberg ($20K/mo alternative)3:20 – Calendar digest & meeting prep automation4:00 – Linking Gmail, Slack & Calendar to manage your day5:10 – Tab and browser management with Comet shortcuts6:00 – Perplexity’s new email management product explained7:15 – Real-time financial prompts: creating your own market pulse8:40 – Understanding daily stock and crypto trends with AI9:50 – Bloomberg vs Perplexity: can prompts replace pro terminals?10:30 – Real examples: market update, crypto update, competitor watch12:10 – How to set up a competitor watch shortcut (demo)13:00 – Why references and credible sources matter in AI research14:30 – Building your own custom prompt workflows15:30 – Final thoughts: saving time with AI automation in daily life16:00 – Outro + where to watch the previous episodes💡 Key Highlights:Automate your entire email workflow using Perplexity’s new tools.Replace $20,000/month Bloomberg terminals with AI-powered prompts.Build shortcuts for competitor analysis, market trends, and research summaries.Connect your Slack, Gmail, and Calendar for complete productivity sync.Learn how AI agents can handle research, reporting, and prep automatically.📺 Subscribe for more deep-dive episodes every week.🏷️ Tags Perplexity AI, AI shortcuts, AI automation, email automation, Bloomberg terminal alternative, AI tools 2025, productivity tools, AI workflow automation, Perplexity pro, Comet AI, Comet Chrome extension, finance AI, stock analysis AI, AI research tools, GPT shortcuts, AI competitor analysis, AI meeting prep, market pulse AI, financial automation, AI podcast, AI for finance, AI productivity, AI daily tools, GPT-5 productivity, AI tech talk, AI use cases, AI workflow management

AI tools won’t replace your dev team.But they will change how PMs build.In this episode of Everything Product, Phani and Srinath break down what really happens when you try to build a functional product using Vibe-coding tools like Lovable, Supabase, Firebase, and Replit.They tried to build real workflows. With real APIs. And real deadlines.Meet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/ [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oThe result?🧠 Insights on where AI tools shine — and where they absolutely break🧩 Unexpected gaps in basic flows like Google Auth, form actions, and Shopify integrations🚨 Trade-offs between simulation, real-world functionality, and scaleThis episode is a must-watch for:→ Product managers trying to ship prototypes solo→ Founders hacking MVPs→ Builders trying to integrate AI tools into real shipping processes🎧 From bugs and surprises to wins and breakthroughs — here’s everything we learned from 90 days of building with AI.⏱️ Timestamps:0:00 – Intro: Why we tested Vibe-coding tools in real builds1:20 – The real difference between demo tools and functional products2:30 – How Lovable works — and where it breaks4:15 – Why Supabase Auth is trickier than expected6:00 – Frontend UI is easy — real data flows are the problem8:30 – Can AI tools build with APIs like Shopify or Razorpay?10:00 – Simulation vs Reality: What PMs need to know11:30 – Where Firebase still outperforms others13:00 – Why testing is the blind spot in most AI builders14:45 – What actually helped us build faster16:30 – Final take: Would we use these tools again for v1?Tags :AI tools for product managers, Vibe coding tools review, no-code with Supabase, Lovable tool review, firebase vs supabase, building with Replit, MVP with AI tools, product manager MVP tools, how to build without engineers, AI product building, shipping without dev team, frontend AI builders, Shopify integration AI, API challenges with no-code, Everything Product podcast, Srinath Kotela, Phani Vuyyuru

Discover how real startup founders are using AI to automate their businesses and slash costs by thousands of dollars. In this episode, we dive deep into practical AI use cases that any founder or product manager can implement today.🎯 What You'll Learn:How to build a professional website for $20-50/month instead of $5K-10KAutomating social media marketing (saved $800/month)AI-powered email marketing with customer personalizationBuilding custom inventory management systems with AIUsing AI voice agents for sales outreach and follow-upsData-driven advertising optimization💡 Key Highlights:✅ Built a complete e-commerce website using Lovable (AI tool) for under $150✅ Replaced $800/month social media agency with AI-generated content✅ Automated email marketing flows with personalized customer content✅ Created custom inventory management app using AI (BaskinRobbins case study)✅ Exploring AI voice agents for distributor outreach and customer follow-ups🛠️ Tools Mentioned:Lovable (website building)Shopify (e-commerce backend)Klaviyo (email marketing automation)Lindy.com (customer action automation)N8n (workflow automation)Midjourney, Sora (AI content generation)Substack (newsletter automation)👥 Featured Founders:Flavor Fusion (ready-to-cook curries company)Event venue business ownerBaskinRobbins franchise owner (inventory management case study)📌 Perfect for: Product Managers, Startup Founders, Small Business Owners, Solopreneurs exploring the "one-person billion-dollar business" concept🔔 Subscribe to Everything Product for more insights on AI tools and technology for founders!Timestamps00:00 - Introduction: AI Automation for Founders00:53 - Topic Overview: One Person, Billion Dollar Businesses02:55 - Website Building: $10K → $50/month with AI04:17 - Deep Dive: Using Lovable for Custom Website Development05:27 - Event Venue Website Case Study ($1,000 saved)07:22 - Content Generation & Social Media Marketing09:05 - Replacing $800/month Marketing Agency with AI10:28 - Email Marketing Automation with Klaviyo12:15 - Customer Data & Personalization Strategies13:17 - Automation Tools: N8n vs Lindy comparison15:13 - Event Venue Marketing Challenges17:37 - BaskinRobbins Inventory Management Case Study19:25 - AI Voice Agents for Sales & Distributor Outreach22:00 - Building Products for Shopify Ecosystem22:36 - Data Analysis & Advertising OptimizationAI automation for foundersProduct management AI toolsStartup cost reductionAI for small businessNo-code AI solutionsProduct management strategiesFounder automation toolsLovable AIAI website builderEmail marketing automationKlaviyo automationAI content generationSocial media automationInventory management AIAI voice agentsLindy automationN8n workflowsStartup tipsSmall business automationAI tools 2025EntrepreneurshipBusiness efficiencyMarketing automationCost cutting strategiesSolopreneur tools

In this episode of Everything Product, we dive into the latest AI tools and how they’re reshaping product management — with a special focus on Claude Artifacts.Meet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/   [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oWe share how these tools can automate daily tasks, simplify app creation, and supercharge productivity. From building quick applications to repurposing content for social media, to synthesizing feedback for sharper decisions — we cover it all.Our big takeaway? Product managers who lean into AI will be the ones who streamline processes, save hours, and make better calls, faster.TakeawaysAI tools can significantly automate daily tasks for product managers.Claude Artifacts allows users to create apps without extensive coding knowledge.Repurposing content for social media can save time and enhance engagement.Creating templates helps maintain a consistent writing style across platforms.Automation can simplify the process of generating weekly business reviews.AI can analyze large sets of feedback for better product decisions.Using AI tools can lead to more efficient content generation.Interactive applications can make learning and development more engaging.Claude Artifacts offers a variety of fun and useful applications.Leveraging AI can transform productivity in product management.

We've been using Perplexity's Comet browser for 30 days, and here's our honest take on whether it's worth switching from Chrome. In this video, we share real use cases that product managers will love - from automating email workflows to managing job applications at scale.Meet Hosts: Srinath - [https://www.linkedin.com/in/skotela/]Phani - [https://www.linkedin.com/in/phanivuyyuru]Sid - [https://www.linkedin.com/in/sidsaladi/] [https://sidsaladi.substack.com/   [https://mobile.twitter.com/Sidsaladi]💎 Here are more resources for you🚀 The Ultimate PM Launch Pad - Blast Off Your Career Now! 🚀https://www.youtube.com/playlist?list=PL0KSCr65RCTOupMjArBvrML5VWUGzaKqt🧰 Master the PM Toolkit - Equip Yourself for Success! 🧰https://www.youtube.com/playlist?list=PL0KSCr65RCTM4acJOjQYFvOVMzfiEFlqE⚡️ Stay Ahead of the Tech Curve - Charge Your Knowledge Now! ⚡️https://www.youtube.com/playlist?list=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o🎯 Key Highlights for Product Managers:Automated email filtering for stakeholder communicationsSmart LinkedIn outreach management for recruiting/networkingCustomer feedback aggregation from multiple channelsTime-saving shortcuts for repetitive product tasksReal productivity gains vs. traditional browsers⚡ What We Cover:Lightning-fast onboarding (but with one major catch for power users)5 practical automation workflows we actually use dailyThe good, bad, and ugly of AI-powered browsingWhy small business owners and PMs are loving this toolTips for maximizing Comet's AI assistant🔥 Perfect For:Product managers drowning in emailsSmall business owners handling customer supportJob seekers wanting to automate applicationsAnyone curious about AI-powered productivity tools💡 Our Verdict: Is it worth switching from Chrome? Watch to find out!Drop a comment with your Comet use cases - we'll test them in our next video!#CometBrowser #ProductManagement #AIProductivity #Perplexity #TechReview #ProductivityTools⏱️ Timestamps0:00 - Quick Take: Best & Worst of Comet0:06 - Onboarding Experience Review0:25 - Chrome vs Comet: Design Philosophy0:46 - Email Automation Deep Dive1:14 - Channel Introduction1:38 - 30-Day Review Overview2:10 - What is Comet Browser?2:35 - The Good: Zero-Friction Setup2:57 - The Bad: Multi-Profile Limitations3:28 - Power User Perspective4:21 - UI/UX Comparison with Chrome4:46 - The Assistant Experience5:10 - Use Case #1: LinkedIn Recruiter Management6:11 - Use Case #2: Podcast Guest Filtering7:19 - Use Case #3: Job Application Tracking7:58 - Email Intelligence Testing8:45 - Small Business Owner Applications9:23 - Automation Possibilities (Invoicing, Follow-ups)9:49 - Community Call-to-Action10:16 - Final Thoughts & What's NextPrimary Tags:Comet browser reviewPerplexity CometAI browser 2024Chrome alternativeProduct management toolsAI productivity toolsBrowser automationComet browser tutorialSecondary Tags:Product manager productivityEmail automation toolsLinkedIn automationJob search automationSmall business automationAI assistant browserComet vs ChromePerplexity browser review30 day reviewTech tool reviewEverything ProductAI tools for PMsCustomer support automationWorkflow automationBrowser AI assistantLong-tail Tags:How to use Comet browser for job searchComet browser email automation tutorialIs Comet browser worth it for product managersBest AI browser for small businessPerplexity Comet browser honest review