Everything Product Podcast

In this episode of Everything Product, Sid and Funny explore Supabase, a powerful backend solution that integrates with Lovable AI website builder. They showcase how Sid built a searchable prompt hub for product managers with admin and user functionalities, database management, and usage analytics - all without writing code. See how Supabase handles database creation, schema management, and storage automatically, making it possible for non-developers to create fully functional web applications.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=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!This video continues our exploration of AI tools for product managers, following our previous episodes on Replit, Lovable, and Bold. Watch as we demonstrate real-world applications of these tools and discuss their pros and cons for building portfolio projects.Timestamps0:01 - Introduction and recap of previous episodes0:37 - Introduction to Supabase integration with Lovable0:58 - The problem: Creating a structured prompt library for product managers2:02 - Demo of the Prompt Hub website built with Lovable2:25 - Comparing UI improvements over Replit2:41 - Search functionality demonstration3:03 - Sorting features and popularity metrics3:21 - Sign-in requirements and user flows3:37 - Admin dashboard features and functionality4:02 - Prompt usage limits and tiered access4:24 - Category management and organization5:09 - Regular user experience and premium upgrade path6:00 - Database flows and ranking algorithm explanation6:48 - Introduction to Superbase database management7:01 - Schema viewing and database structure7:40 - Database project overview and analytics8:16 - Database type flexibility and advantages8:31 - Performance monitoring features8:46 - Resource usage and pricing tiers9:56 - Import functionality and bulk prompt management10:58 - Spreadsheet integration for prompt management11:17 - Additional Supabase capabilities and connections12:22 - Bulk editing and deletion of database records12:54 - CSV import functionality and Claude integration13:35 - Conclusion and call to actionRecommended TagsProductManagement, AITools, WebsiteBuilder, DatabaseManagement, Superbase, LovableAI, BackendDevelopment, NoCode, PromptEngineering, AIPrompts, ProductPortfolio, TechStartup, DatabaseSchema, CloudDatabase, WebAppDevelopment, UserAuthentication, AdminDashboard, ProductMetrics, AIIntegration, TechDemoRetry

Join us as we explore Bolt, a powerful AI app builder that's revolutionizing how product managers can create functional mobile applications without coding. Watch as we build a PM interview preparation app in real-time and compare Bolt with other leading tools like Lovable and Replet. We discuss Anthropic CEO's controversial prediction about AI coding taking over 100% of development within a year, debate the future of product roles, and demonstrate how these tools can help PMs rapidly prototype and test ideas.Timestamps:0:00 - Introduction to the podcast and AI tools exploration0:37 - Discussion about Anthropic CEO's prediction on AI coding taking over1:29 - Why human engineers will still be needed despite AI advancements2:27 - Previous experiences with Replet and Lovable for website building3:37 - Challenges faced when using Lovable for custom features4:54 - Introduction to Bolt app builder and its capabilities6:53 - Live demo: Building a PM interview prep app with Bolt8:00 - Setting up the initial user flow and experience preferences9:07 - Exploring the automatically generated 90-day interview preparation plan10:15 - Enhancing the app with time management features11:55 - Discovering Bolt uses Claude AI for its backend12:41 - Discussion about how AI tool companies differentiate themselves14:02 - Adding gamification elements to increase user engagement15:02 - Addressing the schedule customization challenge15:42 - Adding accountability buddy feature for motivation16:15 - Implementing bite-sized content and interactive learning19:32 - Final impressions of Bolt and its potential for rapid app developmentTagsproduct management tools, ai app builder, bolt app review, no-code development, pm interview prep, claude ai, anthropic, lovable vs bolt, rapid prototyping, mobile app development, ai for product managers, tech podcast, pm tools, interview preparation, gamification, user engagement, product management careers, ai coding future, mvp development, ai productivity

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-podcast💎 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 our latest podcast, we dive deep with Priyan Pattnayak, Senior Principal Data Scientist at Oracle Cloud, to explore how AI is reshaping the cloud industry and what it takes to build scalable, AI-driven products.Priyaranjan (Priyan) Pattnayak is a Senior Principal Data Scientist at Oracle Cloud, where he leads AI efforts for customer experience, cloud console, cloud platform and availability organizations in Oracle Cloud Infrastructure (OCI). With 11 years of experience in machine learning and AI and a Master's degree from the University of Washington, Seattle, Priyan has developed a unique expertise in cutting-edge AI technologies, including Large Language Models (LLMs), Reinforcement Learning from Human Feedback (RLHF), human-in-loop systems, and multi-agent frameworks, for which he has filed several patents/papers.His current research focuses on building collaborative systems between autonomous agents to achieve diverse goals and exploring multi-modal models and the evaluation of LMMs. Priyan's extensive background in unsupervised learning, Natural Language Processing (NLP), and anomaly detection equips him to tackle complex challenges in AI. At the forefront of AI innovations, he drives business value and mitigates risks through his pioneering work.In addition to his professional responsibilities, Priyan is actively involved in the AI community as a judge at conferences and a peer reviewer for top-tier conferences such as ACL, ICLR and NeurIPSFor more updates from Everything ProductCheckout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcast💎 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 from the Episode:✅ How Oracle is integrating AI into its cloud ecosystem✅ The real challenges of AI adoption in enterprises✅ Build vs. Buy: Should companies train their own AI models?✅ Future of AI in healthcare, enterprise SaaS, and beyond💡 Whether you're a Product Manager, AI enthusiast, or cloud professional, this is a must-listen!🔥 Drop a 🔥 in the comments if you're excited about the future of AI in the cloud!#ArtificialIntelligence #OracleCloud #AIInnovation #CloudComputing #ProductManagement #MachineLearning #EnterpriseAI #TechPodcast #GenerativeAI #AIProducts

Join us for an in-depth conversation with Rahul Rai, an Infrastructure Product Manager at Meta with over a decade of experience spanning Cisco, Samsung, Amazon, Microsoft, and Meta. In this episode, Rahul unpacks the complexities of AI model development—from training to inference—and reveals how product managers can navigate the technical and strategic challenges of building scalable systems that serve billions of users.What You'll Learn: • The fundamentals of AI training vs. inference and why distributed inference is a game changer.• How to balance the needs of multiple stakeholders—from ML engineers to end users—in building robust, scalable products.• Real-world insights into capacity planning and the creation of internal tools that impact global-scale operations.• A candid comparison of PM cultures and career paths at Amazon, Microsoft, and Meta, along with tips for transitioning into an infrastructure PM role.• Recommended resources and actionable advice for any PM looking to excel in high-impact technical roles.Timestamps:00:00 – Podcast Intro & Setup01:46 – Meet Rahul Rai: Background and Career Journey03:17 – AI 101: Training vs. Inference Fundamentals06:24 – Deep Dive: Analogies and Real-World Examples of AI Inference10:03 – Distributed Inference Explained: How Models Stay Current12:34 – Cost Breakdown: Why Inference Drives 90% of AI Model Costs17:13 – The Infra PM Role: Balancing Stakeholder Needs22:43 – Building at Scale: Capacity Planning Tools for Billion-User Platforms24:36 – Meta’s AI Strategy: Open Source Models and Product Integration28:28 – Comparing Cultures: PM Roles at Amazon, Microsoft, & Meta36:50 – Autonomy at Meta: Bottom-Up Problem Solving in Action40:30 – Growth Opportunities: Essential Skills for Infra PMs42:46 – Measuring Success: Metrics and Impact in Infrastructure PM44:32 – Resources for PMs: "First 90 Days" & "Getting Stuff Done"46:05 – Wrap-Up & Connect: How to Follow Rahul RaiRecommended Tags:#ProductManagement #InfrastructurePM #AIInference #DistributedInference #Meta #Amazon #Microsoft #TechLeadership #CapacityPlanning #OpenSourceAI #MachineLearning #ProductManager #TechPodcast

Learn the essential product metrics that successful Product Managers use to drive growth and measure success. Join Srinath and Sid as they break down key metrics from Customer Lifetime Value to Growth Funnels, sharing practical insights on how to track and optimize each metric for your product's success.🎯 Key Highlights:Understanding Customer Lifetime Value and its relationship with CACWhy Net Promoter Score matters for mature productsHow to measure user engagement through MAU/DAUCreating effective Go-to-Market strategiesUsing growth funnels to optimize different stages of product developmentTimestamps:0:00 - Introduction29:52 - Customer Lifetime Value (CLV) explained31:20 - CLV's relationship with customer acquisition costs31:48 - Net Promoter Score (NPS) breakdown33:08 - Go-to-Market Strategy essentials35:12 - Monthly & Daily Active Users (MAU/DAU)38:32 - Customer Acquisition Cost (CAC) deep dive40:10 - Understanding Churn Rate41:36 - User Engagement metrics42:25 - Growth Funnel analysis44:03 - Conversion Rate importance👉 Check out our other videos on Product Management:OKRs for Product ManagersBuilding Product RoadmapsAchieving Product Market FitTags:product management, product metrics, customer lifetime value, net promoter score, product analytics, growth metrics, user engagement, customer acquisition cost, churn rate, product manager skills, product strategy, startup metrics, saas metrics, business metrics, product management career, product growth, user analytics, product development, product marketing, tech product management, business analytics, product management skills, product management guide

🎯 10 Essential Product Management Terms Every PM Should KnowJoin us as we break down the most important terminology in product management! Whether you're an aspiring PM or looking to level up your career, this comprehensive guide covers everything from PRDs to Product-Market Fit. Learn how industry veterans use these concepts at companies like Best Buy and startups.Key Highlights:Deep dive into Product Requirements Documents (PRDs) and stakeholder collaborationReal-world examples of A/B testing from Best Buy's digital experiencePractical insights on MVP development and product-market fitExpert tips on managing technical debt and feature flagsEssential roadmap planning strategies⏱️ TIMESTAMPS:0:00 - Introduction0:07 - Product Requirements Document (PRD)3:34 - Stakeholder Collaboration in PRDs5:29 - A/B Testing Explained7:59 - Product Backlog Management9:50 - Minimum Viable Product (MVP)13:25 - Product-Market Fit16:18 - User Stories18:57 - UX/UI Design22:04 - Feature Flags24:30 - Technical Debt26:11 - Product Roadmap30:34 - Wrap Up💡 Featuring real examples from Best Buy, Google, and various startups!🔍 CHAPTERS:Each section includes practical examples and implementation strategies that you can apply immediately in your product management role.#ProductManagement #ProductManager #TechCareers #PMLife #ProductDevelopment #TechIndustry #StartupLife #ProductStrategy #AgileDevelopment #ProductLeadership #TechProduct #PMCareer #ProductOwner #ProductTips #UserExperience #ProductRoadmap #ProductMetrics #ABTesting #MVP #PMSkills

Join us for an insightful conversation with Anita Lacea, Director of Hardware Infrastructure Transformation at Microsoft, as she shares her unique journey from Intel to leading Amazon's first generative AI image product. Learn how to approach AI product development, validate ideas without expensive infrastructure, and scale effectively. Anita provides valuable insights on balancing innovation with customer needs, measuring AI product success, and implementing responsible AI practices. 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] Meet Guest: Anita Lacea - linkedin.com/in/anita-lacea For more updates from Everything Product Checkout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcast 💎 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 TIMESTAMPS: 0:00 - Introduction 0:05 - Anita's unique background in AI and hardware 3:52 - Text vs. Image Generation: Key Technical Differences 10:32 - Common Challenges in AI Image Generation 14:34 - Hardware Requirements for AI Models 18:42 - Product Development Journey at Amazon 26:44 - Measuring Success in AI Products 31:12 - Making AI Products User-Friendly 34:27 - Scaling AI Products 36:42 - Responsible AI and Managing Risks 42:56 - Microsoft Ignite Highlights 44:42 - Future of Hardware in AI 47:08 - Book Recommendations and Final Thoughts KEY HIGHLIGHTS: - Learn how Amazon validated their first generative AI product without building expensive infrastructure - Understand the differences between text and image generation from a product perspective - Discover how to measure success in AI products when traditional metrics don't apply - Get insights on scaling AI products while managing costs - Learn practical approaches to responsible AI implementation TAGS: #ProductManagement #GenerativeAI #TechLeadership #ArtificialIntelligence #ProductDevelopment #ImageGeneration #TechInnovation #ProductStrategy #AIScaling #ResponsibleAI #TechProduct #AIProduct #ProductMetrics #MicrosoftAzure #AmazonAWS #TechInfrastructure #AIInfrastructure #ProductValidation #AIStrategy #techleadership

🎙️ In this episode of Everything Product, we’re joined by Mike Haldane, Founder of MarketWise Advising, to explore the art of building successful products and transitioning into as-a-service business models. 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] Meet Guest: Mike Haldane - linkedin.com/in/mikehaldane For more updates from Everything Product Checkout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcast Mike shares decades of expertise in: 1️⃣ Strategic Planning: Building a roadmap with mission, vision, and execution strategies. 2️⃣ As-a-Service Models: Transitioning traditional businesses to recurring revenue models. 3️⃣ Market Research Insights: Leveraging data to identify opportunities and competitive advantages. 4️⃣ AI in Product Management: How generative AI tools like ChatGPT optimize processes. Whether you're a Product Manager, an aspiring PM, or a business leader aiming for growth, this episode is packed with actionable insights! 🔗 Resources Mentioned: MarketWise Advising: [https://marketwiseadvising.com/] 💡 Don’t forget to like, share, and subscribe for more expert advice on product management and innovation. Timestamps: 0:00 Intro to Everything Product Podcast 2:05 Guest Introduction: Mike Haldane's Journey 4:03 Steps for Strategic Growth Planning 10:09 Common Pitfalls in Strategic Execution 17:14 Leveraging AI for Market Research 24:10 Building and Iterating MVPs for SaaS Products 31:47 Challenges in Transitioning to As-a-Service Models 39:00 Key Metrics for Measuring SaaS Success 45:51 Organizational Changes Needed for SaaS Models 52:30 Broadening Go-to-Market Strategies 59:03 MarketWise Services Overview Recommended Tags: Product Management SaaS Business Models Strategic Planning MVP Development As-a-Service Transition Product Manager Tips Growth Strategies Market Research Generative AI for Business Recurring Revenue Models Everything Product Podcast Business Innovation

In this episode of Everything in Product, we sit down with Nithin Hassan, a former Meta and Microsoft tech leader turned entrepreneur. Nithin shares his fascinating journey from corporate leadership to founding multiple ventures, including Career Kickstart Club and Business Kickstart Club. He offers unique insights on transitioning from corporate to entrepreneurship, building successful businesses in India's market, and the evolution of career development in the tech industry. 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] Meet Guest: Nithin Hassan - linkedin.com/in/nithin-hassan For more updates from Everything Product Checkout our LinkedIn page - https://www.linkedin.com/company/everything-product-podcast Key Highlights: Why India's chaos creates perfect business opportunities The shift from technical skills to personal branding in tech careers Building multiple ventures while maintaining focus Modern mentorship and accelerator programs Practical insights on scaling businesses internationally ⏱️ Timestamps: 0:00 - Introduction and Nithin's background 2:18 - Why choose India for entrepreneurship 4:41 - Understanding India's market potential 6:14 - Career Kickstart Club's three-tier approach 7:01 - Modern tech careers: Beyond technical skills 10:17 - The "golden handcuff" problem in corporate careers 12:55 - Running multiple ventures simultaneously 15:35 - Learning entrepreneurship from ground up 18:17 - The problem with quick-success promises 20:14 - Book recommendations for entrepreneurs Tags: #ProductManagement #TechCareers #Entrepreneurship #StartupMentorship #CareerDevelopment #TechLeadership #CorporateToStartup #IndianStartups #BusinessScaling #ProductLeadership #CareerTransition #TechMentorship #StartupFounder #BusinessGrowth #ProductStrategy This conversation would be particularly valuable for: Product managers considering entrepreneurship Tech professionals looking to transition careers Startup founders seeking scaling strategies Corporate leaders interested in mentorship Anyone interested in India's startup ecosystem Guest: Nithin Hassan Former: Meta, Microsoft Current: Founder of Career Kickstart Club & Business Kickstart Club