Everything Product Podcast

🚀 Watch Two Product Managers Test the Future of No-Code Development

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 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 development
• Real comparison between Agent Mode vs Regular Mode performance
• Why Agent Mode produces 90% fewer errors
• How modern apps are shifting from business logic to AI activation
• Integration strategies for OpenAI Vision API
• Design system considerations for enterprise adoption

Key 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 soon

App Features Built:

• Image upload and food scanning
• AI-powered calorie calculation
• Daily nutrition logging
• Protein, carb, and nutrient tracking
• Complete user flow with navigation

Tools Used:

• Lovable (Agent Mode)
• OpenAI Vision API
• Supabase for secure key storage

Perfect for:

• Product Managers exploring AI-first development
• No-code builders wanting to level up
• Teams considering AI agent integration
• Anyone 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 Activation

Tags: #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 works

How Product Managers can use it to learn faster

Creating study guides, mind maps & audio podcasts from sources

Building your own AI agent with podcast recommendations

A 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

⏱️ Timestamps

00:00 - Introduction to the podcast and hosts

01:00 - What is Notebook LM?

02:00 - Uploading sources and learning about AI agents

03:20 - Types of sources you can use (YouTube, Docs, etc.)

04:40 - Creating mind maps, podcasts & study guides automatically

06:10 - How AI agents help automate daily tasks

07:15 - Can AI agents recommend daily podcasts?

08:10 - Using Notebook LM for interview preparation

09:00 - Generating a full-length podcast from sources

10:15 - Interactive learning features in Notebook LM

11:10 - Study guide and timeline generation

12:30 - Adding new sources dynamically to improve learning

14:00 - Steps to build an AI agent using Notebook LM

16:00 - Will AI kill content creators’ motivation?

17:30 - The revenue model dilemma in AI-powered summarization

18:30 - Why this matters for Product Managers today

Notebook 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

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 wipe-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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o

The 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 scale

This 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 wipe-coding tools in real builds

1:20 – The real difference between demo tools and functional products

2:30 – How Lovable works — and where it breaks

4:15 – Why Supabase Auth is trickier than expected

6:00 – Frontend UI is easy — real data flows are the problem

8:30 – Can AI tools build with APIs like Shopify or Razorpay?

10:00 – Simulation vs Reality: What PMs need to know

11:30 – Where Firebase still outperforms others

13:00 – Why testing is the blind spot in most AI builders

14:45 – What actually helped us build faster

16:30 – Final take: Would we use these tools again for v1?

Tags :

AI tools for product managers, wipe 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

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 signals

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

Whether 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 notes

Timestamps:

0:00 – Intro: Who is Laura Taco & What is DX

2:00 – How Laura got into engineering productivity

4:30 – Why Engineering Productivity ≠ More PRs

6:00 – The true definition: Removing Friction

8:00 – Why Product Velocity is a Product + Engineering Problem

10:30 – Misuse of “Speed” and the velocity-direction trap

12:00 – Aligning Product & Engineering: Avoid the canoe problem

14:30 – Why teams measure but don't improve

17:00 – The real issue: data literacy  dashboards

19:30 – Why PMs can lead data literacy efforts

21:00 – Should metrics be prescriptive or narrative-driven?

23:00 – Who owns engineering productivity in an org?

25:00 – The Core 4 Framework explained

28:00 – Speed: How to use (and not misuse) PR throughput

30:00 – Effectiveness: Developer Experience Index (DXI)

32:00 – Quality: Why Change Failure Rate still matters

33:00 – Innovation Ratio: What % of your time builds the future

35:00 – Internal benchmarking vs. toxic team comparisons

37:00 – How to interpret industry benchmarks

39:00 – Deploying Core 4 in 2 weeks, not 6 months

41:00 – How to combine qualitative + quantitative signals

43:00 – AI & Dev Productivity: The real impact (not hype)

47:00 – Stack trace analysis  Codegen for AI productivity wins

49:00 – Final advice: Cultivate an experimental mindset

engineering 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

We put 5 “vibe coding” tools to the test — tools that promise to turn ideas into working products with almost zero engineering.

Tools we tested:

✅ Lovable

✅ Replit

✅ Firebase

✅ Bolt

✅ Vercel

Our goal?

Build a Calendly-style scheduling app, complete with:

– Multi-host availability

– Calendar integration

– Basic UI and backend

– Simulated booking flows

What started as a fun experiment turned into a serious teardown of what works, what breaks, and where each tool shines (or fails hard).

If you're a PM, indie builder, student, or founder trying to ship MVPs faster using AI — this is 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

🛠️ Highlights:

– Which tool gave us the best zero-to-one speed

– Why most tools break at the backend integration stage

– Unexpected UX wins and deal-breakers

– Cost vs performance vs “serendipity”

🔥 Final verdict at the end — and it might surprise you.

📩 Got a tool you want us to test next? Drop it in the comments.

Timestamps (Chapters):

0:00 – Intro: Why we’re testing vibe coding tools

1:00 – What is vibe coding and why does it matter?

2:20 – PM workflows without engineering? Let’s find out.

4:00 – Tool lineup: Lovable, Bolt, Firebase, Versal, Replit

5:15 – What we’re building: A Calendly-like multi-host scheduler

6:45 – Common pain points with existing tools

8:30 – Setting up PRD + using ChatGPT to generate it

10:40 – Lovable setup and first impressions

13:00 – Firebase explanation + how pricing/APIs work

16:00 – Bolt early review: UI vs Functionality

18:30 – Replit evaluation: surprising improvement

22:00 – Ranking based on UI, backend, serendipity

27:00 – The simulation debate: fake flows vs real APIs

30:00 – What Lovable still does better than everyone

33:00 – Where each tool shines and fails

36:00 – Cost breakdown: Replit vs Lovable vs Firebase

38:00 – Final tool ratings (out of 10)

41:00 – Who won? Lovable vs Bolt showdown

43:00 – What PMs should consider when picking tools

44:30 – Our advice to teams building their own internal SaaS

46:00 – What's next? Feature requests + tool feedback

Tags :

vibe coding tools review, no-code vs AI coding, build MVP with AI, product manager tools, lovable app review, bolt builder demo, firebase for no-code apps, replit vs firebase, product management tools 2025, how to build without engineers, ChatGPT product builder, calendly clone no-code, LLM powered coding tools, indie hackers AI, build SaaS with vibe coding, backend with supabase, frontend automation tools, best tool to build startup fast, startup prototyping tools, PM tools for MVP

We put 5 “vibe coding” tools to the test — tools that promise to turn ideas into working products with almost zero engineering.

Tools we tested:

✅ Lovable

✅ Replit

✅ Firebase

✅ Bolt

✅ Vercel

Our goal?

Build a Calendly-style scheduling app, complete with:

– Multi-host availability

– Calendar integration

– Basic UI and backend

– Simulated booking flows

What started as a fun experiment turned into a serious teardown of what works, what breaks, and where each tool shines (or fails hard).

If you're a PM, indie builder, student, or founder trying to ship MVPs faster using AI — this is 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

🛠️ Highlights:

– Which tool gave us the best zero-to-one speed

– Why most tools break at the backend integration stage

– Unexpected UX wins and deal-breakers

– Cost vs performance vs “serendipity”

🔥 Final verdict at the end — and it might surprise you.

📩 Got a tool you want us to test next? Drop it in the comments.

Timestamps (Chapters):

0:00 – Intro: Why we’re testing vibe coding tools

1:00 – What is vibe coding and why does it matter?

2:20 – PM workflows without engineering? Let’s find out.

4:00 – Tool lineup: Lovable, Bolt, Firebase, Versal, Replit

5:15 – What we’re building: A Calendly-like multi-host scheduler

6:45 – Common pain points with existing tools

8:30 – Setting up PRD + using ChatGPT to generate it

10:40 – Lovable setup and first impressions

13:00 – Firebase explanation + how pricing/APIs work

16:00 – Bolt early review: UI vs Functionality

18:30 – Replit evaluation: surprising improvement

22:00 – Ranking based on UI, backend, serendipity

27:00 – The simulation debate: fake flows vs real APIs

30:00 – What Lovable still does better than everyone

33:00 – Where each tool shines and fails

36:00 – Cost breakdown: Replit vs Lovable vs Firebase

38:00 – Final tool ratings (out of 10)

41:00 – Who won? Lovable vs Bolt showdown

43:00 – What PMs should consider when picking tools

44:30 – Our advice to teams building their own internal SaaS

46:00 – What's next? Feature requests + tool feedback

Tags :

vibe coding tools review, no-code vs AI coding, build MVP with AI, product manager tools, lovable app review, bolt builder demo, firebase for no-code apps, replit vs firebase, product management tools 2025, how to build without engineers, ChatGPT product builder, calendly clone no-code, LLM powered coding tools, indie hackers AI, build SaaS with vibe coding, backend with supabase, frontend automation tools, best tool to build startup fast, startup prototyping tools, PM tools for MVPs

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=PL0KSCr65RCTMvYe4lAYpfdbDoNdPbA33o

Here’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 resumes

If 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 episode

1:10 – Why PM interviews are harder in 2025

2:15 – Hiring manager interview: what they really want

4:50 – How to research the interviewer (and why it matters)

6:40 – The #1 mistake people make in hiring manager rounds

8:00 – Why you MUST ask this question at the start of the interview

10:00 – The AI trap: how candidates fake interviews with ChatGPT

12:30 – A real story of an experienced PM failing due to AI misuse

14:00 – Product design interviews: real prep tips & frameworks

16:00 – Mock interviews using ChatGPT voice mode

17:40 – Frameworks: Circles vs custom thinking

19:00 – What makes a GREAT product design answer?

20:30 – Presentation round: what hiring managers look for

22:30 – Why visuals are better than text in your interview deck

24:00 – Tips for engaging the panel during your presentation

25:00 – 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 not

31:00 – What new grads should actually do (PM path + portfolio ideas)

34:00 – Final advice for focused job hunting and avoiding burnout

34:50 – 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