Everything Product Podcast

In this episode, we sit down with Ankur Choudhary, a serial FinTech entrepreneur and IIT Kanpur alumnus, to discuss his journey from working at hedge funds to building two impactful startups: Goalwise and his current venture, Belong.Ankur shares the story behind Belong, a platform designed to simplify investing in India for Non-Resident Indians (NRIs). [cite_start]He delves into the significant challenges NRIs face, from complex KYC processes and the need for an active Indian mobile number [cite_start]to navigating double taxation and the difficulties of repatriating funds.Discover how Belong is leveraging India's new GIFT City, a special economic zone with its own financial regulator, to overcome these hurdles. [cite_start]Ankur explains how this innovative regulatory framework allows for USD-denominated investments, easier fund transfers, and a more streamlined, tax-friendly experience for the Indian diaspora.[cite_start]Join us as we explore Ankur's entrepreneurial path, the lessons learned from his first startup, Goalwise [cite_start], his experience as a VC investor, and his insights on building a product, fundraising, and identifying the right time to exit.This episode is a must-watch for aspiring entrepreneurs, product managers, and anyone interested in the future of FinTech and investment in India.

🚀 Watch Two Product Managers Test the Future of No-Code DevelopmentMeet 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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oIn this live coding session, we put Lovable's new Agent Mode to the test by building a complete fitness tracking app that scans food images and calculates calories using AI.What You'll Learn:How AI agents differ from traditional prompt-based developmentReal comparison between Agent Mode vs Regular Mode performanceWhy Agent Mode produces 90% fewer errorsHow modern apps are shifting from business logic to AI activationIntegration strategies for OpenAI Vision APIDesign system considerations for enterprise adoptionKey Product Management Insights:✅ Agent Mode handles holistic product thinking automatically✅ Adaptive pricing based on actions, not messages✅ Credit rollover feature reduces subscription waste✅ Collaboration features enable team-based development✅ Enterprise design system integration coming soonApp Features Built:Image upload and food scanningAI-powered calorie calculationDaily nutrition loggingProtein, carb, and nutrient trackingComplete user flow with navigationTools Used:Lovable (Agent Mode)OpenAI Vision APISupabase for secure key storagePerfect for:Product Managers exploring AI-first developmentNo-code builders wanting to level upTeams considering AI agent integrationAnyone curious about the future of app development💡 Subscribe for more product management insights and AI development sessions!Timestamps:0:00 Introduction & Agent Mode Overview1:58 Problem Definition: Fitness Tracking Pain Points3:36 Agent vs Regular Mode Explanation5:10 Credit Usage & Subscription Model Analysis7:04 Building Without Agent Mode13:00 Enabling Agent Mode - First Impressions18:06 Real-time Problem Solving & Debugging21:15 OpenAI Integration & Security Handling24:37 Success! App Working End-to-End25:44 Key Insights: From Business Logic to AI ActivationTags: #ProductManagement #AIAgents #NoCode #Lovable #OpenAI #FitnessApp #AgentMode #ProductDevelopment #AIIntegration #TechReview

Is Perplexity AI worth the hype for product managers and solo builders?In this episode of Everything Product, we deep-dive into two powerful features of Perplexity AI — Labs and Tasks — and explore how they can save product teams hours of work by automating research, market analysis, and even daily stock reports.From startup validation to competitor analysis to tracking stock trends — we put it all to the test. If you're a product manager, solopreneur, or tech enthusiast looking to understand how AI tools can power your decision-making, this one's for you.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🔍 In This Episode:What is Perplexity and how is it different from ChatGPT & Gemini?Use cases for Labs: market research, startup validation, stock analysisUse cases for Tasks: daily news tracking, post-market reports, idea generationComparison with ChatGPT's task schedulingReal-time walkthroughs of actual Labs and Tasks outputs💡 Best for:Product Managers, Builders, Tech Founders, Side Project Hustlers, Content CreatorsTimestamps:0:00 - Why Perplexity matters right now2:00 - What is Perplexity AI? Core value vs Google Search3:50 - Where Perplexity excels: Complex search queries5:30 - Labs vs Tasks overview7:00 - Who Labs is perfect for: PMs, startup founders, undergrads9:00 - Using Labs for market & competitor research11:00 - Demo: Mental health app idea validation13:00 - Perplexity Tasks: Automating daily info workflows15:00 - Use cases for Tasks: news, stock market, crypto updates18:30 - Demo: Daily postmarket stock update via Tasks22:00 - Comparison with ChatGPT's Tasks feature24:00 - Tracking your own product reviews & sentiment using Tasks26:00 - Simulating a stock portfolio based on $1,000 investment28:30 - Summary: How PMs can practically use Labs & Tasks34:00 - What we want YOU to try with PerplexityPerplexity AI review, Perplexity Labs tutorial, Perplexity Tasks explained, product management AI tools, AI tools for product managers, startup research tools, solo builder tools, Perplexity vs ChatGPT, PM toolkit 2025, Everything Product podcast, Sid Salladi, Fani Vuyyuru, market validation AI, AI for investing, no code research tools, building with AI, mental health app research, stock analysis AI tools, AI workflow tools

In this episode of Everything Product, hosts Phani and Sid explore Google's Notebook LM, a powerful RAG-based tool for learning complex concepts like AI Agents. Whether you're a product manager trying to upskill, prep for interviews, or build your own intelligent agents, this episode walks you through real-world use cases and actionable examples.🚀 What you'll learn in this video:What is Notebook LM and how it worksHow Product Managers can use it to learn fasterCreating study guides, mind maps & audio podcasts from sourcesBuilding your own AI agent with podcast recommendationsA real conversation around content creation in the AI age💡 Whether you’re prepping for interviews or launching your next AI-powered product, this tool can be a game-changer!🔗 Mentioned Tools:Notebook LM⏱️ Timestamps00:00 - Introduction to the podcast and hosts01:00 - What is Notebook LM?02:00 - Uploading sources and learning about AI agents03:20 - Types of sources you can use (YouTube, Docs, etc.)04:40 - Creating mind maps, podcasts & study guides automatically06:10 - How AI agents help automate daily tasks07:15 - Can AI agents recommend daily podcasts?08:10 - Using Notebook LM for interview preparation09:00 - Generating a full-length podcast from sources10:15 - Interactive learning features in Notebook LM11:10 - Study guide and timeline generation12:30 - Adding new sources dynamically to improve learning14:00 - Steps to build an AI agent using Notebook LM16:00 - Will AI kill content creators’ motivation?17:30 - The revenue model dilemma in AI-powered summarization18:30 - Why this matters for Product Managers todayNotebook LM, Product Management Tools, How to Learn AI Agents, RAG applications, Google Notebook LM, AI Learning Tools, Product Manager Tips, Build AI Agent, AI for Product Managers, EdTech AI Tools, PM Interview Prep, AI Study Tools, Everything Product Podcast🎯 Highlights for Product Managers🧠 Learning Efficiency – Showcases how Notebook LM helps PMs synthesize tons of content (docs, videos, etc.) into actionable summaries and study guides.🎧 Personalized Audio Learning – The podcast feature helps busy PMs consume tailored knowledge during commutes.💼 Interview Prep – PMs can simulate behavioral interviews and practice answers using STAR methods, directly within Notebook LM.🛠️ Agent Creation Walkthrough – A unique example where the tool helps construct an actual AI agent that recommends podcasts—a use case many PMs will find relevant.📉 Ethical Debate on AI & Content Creation – A candid discussion about the content creator-AI tension, which sparks thought among PMs building AI-powered products

The Product Job Market is Brutal in 2025. Here’s How to Stand Out.PM layoffs are at an all-time high. Microsoft, Amazon, Philips — the demand for product roles is 10x lower, and competition is fiercer than ever. In this value-packed conversation, Sid talks with Akash Gupta (ex-Stripe PM, top LinkedIn creator, and host of one of the fastest-growing product podcasts) about:✅ The top 3 skills that actually correlate with offers✅ Real AI job search strategies (with tools & prompts)✅ Resume hacks that beat ATS using Google Gemini 2.5 Pro✅ Why most referrals are useless—and how to get the right one✅ How to negotiate compensation without losing your offerMeet 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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oWhether you’re a new PM or a senior product leader, this episode will change how you approach your job search.🔥 Akash’s LinkedIn: https://www.linkedin.com/in/aagupta/📬 Subscribe for more product career content every week.#ProductManagement #JobSearch #AItools #ResumeTips #TechLayoffsTimestamps:00:00 - The Harsh Truth: Why PMs Are Getting Laid Off01:00 - Supply vs Demand: The PM Job Crisis Explained02:05 - Top 3 Skills That Lead to Offers (Data-backed)04:00 - Resume Strategy: Generic vs. Tailored06:10 - Live Demo: AI-Powered Resume Customization08:00 - Using Google Gemini 2.5 Pro Like a Pro10:50 - Why Cold Applying is Dead: Adopt Differentiated Strategies12:40 - Getting Interviews with Zero Experience in Gaming14:20 - How to Get Quality Referrals Even Without Connections17:00 - Funnel Thinking: Diagnosing Your Job Search Failures20:00 - Nailing Product Interviews: Structured, Strategic, Business-Driven23:30 - Frameworks vs Critical Thinking: What Actually Wins26:00 - AI Tools for Every Step of the Job Search29:00 - How to Negotiate Salary with Confidence and Data32:00 - The Future of PMs in an AI-Powered Workflow33:20 - Akash’s Bold Predictions for PM + AI35:00 - Final Thoughts and Resources Round-upTags:product manager job search 2025product management interview tipsAI for resume writingGoogle Gemini 2.5 Pro resumehow to get product manager jobAkash Gupta product managementhow to negotiate salary PMreferral tips product managementresume mistakes product managerhow to use AI for job searchproduct sense interview prepEverything Product Podcastproduct management career tips

Discover the transformative role of no-code tools like Lovable and Superbase in product development. The hosts share their experiences with vibe coding, highlighting the balance between functionality and user interaction. They tackle real-world challenges such as Google authentication and error handling while integrating AI tools. Expect surprises, trade-offs, and insights on how AI can enhance or hinder your workflow. Perfect for product managers and founders wanting to navigate the no-code landscape!

Product velocity ≠ just faster shipping.In this episode of Everything Product, we sit down with Laura Taco, CTO at DX, to break down what engineering productivity really means — and why most orgs get it completely wrong.We go deep into:🔹 Why “just ship faster” is a broken mindset🔹 The Core 4 Framework: Speed, Effectiveness, Quality, Innovation🔹 Common traps: flashy dashboards, tool overload, data without literacy🔹 How AI tools (like GitHub Copilot) are changing productivity metrics🔹 How to measure and actually act on developer productivity signalsMeet 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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oWhether you're a Product Manager, Engineering Leader, or Startup CTO, this conversation will change how you think about speed, scale, and building high-velocity teams.🎧 Featuring:Laura Taco (CTO, DX)Phani Vuyyuru & Srinath Kotela (Hosts)🔗 Resources + Core 4 survey → in the show notesTimestamps:0:00 – Intro: Who is Laura Taco & What is DX2:00 – How Laura got into engineering productivity4:30 – Why Engineering Productivity ≠ More PRs6:00 – The true definition: Removing Friction8:00 – Why Product Velocity is a Product + Engineering Problem10:30 – Misuse of “Speed” and the velocity-direction trap12:00 – Aligning Product & Engineering: Avoid the canoe problem14:30 – Why teams measure but don't improve17:00 – The real issue: data literacy  dashboards19:30 – Why PMs can lead data literacy efforts21:00 – Should metrics be prescriptive or narrative-driven?23:00 – Who owns engineering productivity in an org?25:00 – The Core 4 Framework explained28:00 – Speed: How to use (and not misuse) PR throughput30:00 – Effectiveness: Developer Experience Index (DXI)32:00 – Quality: Why Change Failure Rate still matters33:00 – Innovation Ratio: What % of your time builds the future35:00 – Internal benchmarking vs. toxic team comparisons37:00 – How to interpret industry benchmarks39:00 – Deploying Core 4 in 2 weeks, not 6 months41:00 – How to combine qualitative + quantitative signals43:00 – AI & Dev Productivity: The real impact (not hype)47:00 – Stack trace analysis  Codegen for AI productivity wins49:00 – Final advice: Cultivate an experimental mindsetengineering productivity, developer experience metrics, Core 4 framework DX, Laura Taco podcast, product velocity explained, how to measure engineering productivity, PR throughput, change failure rate, AI in developer workflows, developer experience insights, DX platform CTO, product and engineering collaboration, product velocity metrics, Everything Product podcast, software engineering leadership, CTO metrics playbook, measuring product velocity

Five AI product-building tools were put to the test, each promising to simplify the app development process. From Lovable to Replit, the hosts explored their effectiveness in creating a Calendly-style scheduling app. They encountered surprising UX wins and serious backend integration challenges. The final verdict on which tool emerged as the best for zero-to-one speed might just shock you! Tune in for insights on cost, performance, and the unexpected outcomes of this tech trial.

Product Manager interviews in 2025 are brutal.Resumes are getting faked. AI tools are being misused. And even experienced candidates are failing.In this Everything Product episode, Srinath Kotela & Phani Vuyyuru break down the real behind-the-scenes truths about cracking PM interviews. No fluff. No frameworks-for-views. Just raw, honest advice from hiring managers and experienced PMs.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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oHere’s what we cover:✅ How to prepare for hiring manager interviews✅ The dark side of using ChatGPT in interviews✅ Product design prep (with real frameworks)✅ Presentation round strategies that actually work✅ Technical PM expectations in 2025✅ What new grads should do right now✅ Why you must stop applying to 5 different roles with 5 different resumesIf you're serious about product management, this is the episode you can't afford to miss.⏱️ Timestamps (Chapters):0:00 – Intro & context on today’s episode1:10 – Why PM interviews are harder in 20252:15 – Hiring manager interview: what they really want4:50 – How to research the interviewer (and why it matters)6:40 – The #1 mistake people make in hiring manager rounds8:00 – Why you MUST ask this question at the start of the interview10:00 – The AI trap: how candidates fake interviews with ChatGPT12:30 – A real story of an experienced PM failing due to AI misuse14:00 – Product design interviews: real prep tips & frameworks16:00 – Mock interviews using ChatGPT voice mode17:40 – Frameworks: Circles vs custom thinking19:00 – What makes a GREAT product design answer?20:30 – Presentation round: what hiring managers look for22:30 – Why visuals are better than text in your interview deck24:00 – Tips for engaging the panel during your presentation25:00 – Technical rounds: what level of tech do PMs need today?27:00 – AI knowledge: essential or hype? (Hiring manager view)29:00 – Title-switching and resume faking — what's okay and what’s not31:00 – What new grads should actually do (PM path + portfolio ideas)34:00 – Final advice for focused job hunting and avoiding burnout34:50 – Outro & how to get in touch with us💬 Got interview questions? Drop them in the comments — we’ll reply to every single one.Subscribe for more brutally honest content from real PMs in the field.#EverythingProduct #ProductManagement #PMInterviewTips #TechCareers #AIinInterviews #ProductDesign #TPM #NewGradTips

What are AI Agents, and why should product managers care?In this episode of Everything Product, we sit down with Manjeet Singh, Senior Director of Product at Salesforce, to unpack the real meaning of AI agents, how they’re reshaping B2B SaaS products, and what it takes to build products that not only scale—but truly win.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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33oYou’ll learn:What AI agents actually are (and how they differ from traditional automation)How reasoning + action is redefining softwareHow to identify agent-first use casesHow PMs should think about the shift from deterministic to non-deterministic workflowsWhy being fit mentally and physically matters when building high-scale productsWhether you're a PM, founder, or builder, this conversation is a must-listen to stay ahead of what’s next.🔔 Subscribe for more unfiltered takes from real product leaders.⏱️ Timestamps (Chapters)00:00 - Intro: Product x Fitness x AI 01:20 - Meet Manjeet Singh (Salesforce, AgentForce AI) 02:40 - What Are AI Agents? Explained Simply 04:30 - Deterministic vs. Non-Deterministic Automation 05:40 - Real Use Cases for Agents (PMs, Pay Attention!) 07:30 - What Makes a “Winning Product”? 10:00 - Why PMs Must Think About Reasoning, Not Just Rules 13:00 - Metrics, Mental Models & Fitness for Builders 15:20 - How Manjeet Approaches Zero-to-One Product Building 17:45 - Should PMs Be Hands-On with Tech? 20:00 - The Future of AI-Driven Product Roles 22:15 - Final Advice for PMs Building in 2025+🔖 Recommended TagsProduct Management, AI Agents, Salesforce Product, Manjeet Singh, B2B SaaS, AI Product Strategy, Agent-Based Automation, PM Interview, Product Manager Advice, No-Code AI, Future of Work, Automation in Product, AI Tools for PMs, Everything Product Podcast