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    Technology

    The Growth Podcast

    Join 500K+ for deep dives on AI + product management. After spending a decade plus in product, I now interview PM’s most insightful experts.

    www.news.aakashg.com

    Advertise

    Copyright: © Aakash Gupta

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    Latest Episodes:
    AI Product Discovery: Complete Course Jul 08, 2025
    Show notes

    We could talk a million things with Tanguy Crusson but I’m keeping it to what I like the most about his work - Product Discovery.

    He shares a rare, behind-the-scenes look at how his team at Jira Product Discovery uncovers real user problems, validates solutions quickly, and avoids wasting time on ideas that won’t land.

    ----

    Brought to you by:

    Jira Product Discovery: Plan with purpose, ship with confidence

    Product Faculty: Get $500 off the AI PM certification with code AAKASH25

    Vanta: Automate compliance, security, and trust with AI (Get $1,000 with our link)

    AI PM Certification: Get $500 off Miqdad Jaffer (of OpenAI)’s certification

    ----

    Timestamps:

    Preview & Intro — 00:00:00

    Has AI Actually Changed Product Discovery? — 00:00:27

    Ad: Jira Product Discovery — 00:10:50

    Ad: AIPM Certification with OpenAI PM — 00:11:45

    Where AI Truly Helps in Discovery (Real Use Cases) — 00:12:32

    Watch the Live Demo on YouTube for Full Context — 00:14:34

    The Discovery Process (Deep Dive)

    Phase 1 – Wonder: How Atlassian Uncovers Real Problems — 00:16:51

    Why Tanguy Hasn’t Written a PRD in 5 Years (+ Wild Engineer Story) — 00:21:04

    How to Lead Great User Interviews (Tips from a UX Researcher) — 00:25:24

    Ad: Vanta Compliance & Security — 00:28:30

    Ad: AI Evals for PMs & Engineers — 00:29:34

    The Right Way to Structure Discovery Documents — 00:30:34

    How Atlassian Actually Uses Tools for Product Discovery (Full Stack Demo) — 00:33:23

    Why This System Works Better Than Traditional PM Workflows — 00:41:24

    Moving Through Discovery

    Phase 2 – Explore: Rapid Prototypes & Real Feedback — 00:41:58

    Phase 3 – Make: When the Team Commits to Building — 00:49:04

    “Just Ship It” is Bad Advice — Here’s Why — 00:52:24

    Can You Trust Feedback from Free Users? — 00:56:00

    Phase 4 – Impact: Measuring Real-World Results — 01:07:33

    How to Build Real Trust as a Product Manager — 01:14:41

    PMs Want to Keep Engineers Busy: Good Strategy or Trap? — 01:17:46

    Aakash: “I Wish I Talked to You 10 Years Ago”, Here’s Why — 01:22:46

    Closing Reflections & Takeaways — 01:26:33

    ----

    Key Takeaways:

    1. Discovery isn’t a phase, it’s a system. Atlassian runs product discovery continuously, not just “before development.” It’s embedded across problem finding, prototyping, building, and post-launch.

    2. Use video, not documents, to communicate user pain. Instead of writing long research summaries, PMs compile 10-minute reels of real customer interviews. Watching raw emotion builds urgency and alignment.

    3. Start with ~10 users — not thousands. Atlassian validates ideas with small, focused user groups. It's faster, cheaper, and more revealing than wide surveys or launches.

    4. Prototype with whatever is fastest. From AI tools like V0 to basic Figma slides, the goal is speed. You don’t need polished UIs — you need fast feedback on core concepts.

    5. Strong user reactions guide investment. When users say “I need this now,” that’s a green light. Mild interest or polite nods? That’s a warning to dig deeper.

    6. Build only once you have real pull. They don’t move into development (“Make” stage) until a prototype has strong qualitative validation. Code follows conviction.

    7. PMs rotate weekly to tag and analyze feedback. Every week, one PM owns triaging incoming feedback, tagging it to ideas, and surfacing themes. Discovery is part of the rhythm — not a side project.

    8. Real discovery requires exposure, not summaries. Dashboards, sanitized reports, and secondhand quotes are not enough. PMs must stay close to raw user input — live or recorded.

    9. Post-launch reflection is mandatory. Every shipped feature goes into the “Impact” phase. They assess: is it working? Should we scale, refine, or kill it?

    10. Discovery is a team sport. PMs, designers, engineers, even sales, everyone participates in interviews, watches clips, and shapes the product. It’s not just a PM’s job.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Related Podcasts:

    How ZoomInfo IPO’d - With CEO/ Founder Henry Shuck

    How LogRocket Became a $100M+ AI Company - With CEO/ Founder Matt Arbesfeld

    How Amplitude Became the #1 Product Analytics Tool - With CEO/ Founder Spenser Skates

    How Zoom Took Over The World - With Zoom's Meetings Product during Covid ( now leads their Events & Webinars product)

    ----

    P.S. More than 85% of you aren't subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we'll continue making this content better.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    This $20M AI Founder Is Challenging Elon and Sam Altman | Roy Lee, Cluely Jul 06, 2025
    Show notes

    Amazon banned him. Ivy Leagues kicked him out.

    And still, he went mega viral, built a $6M ARR AI startup, and raised $15M from a16z… all in a matter of weeks.

    This might be the craziest founder story you’ll hear all year.

    If you’re building in a competitive market, struggling to stand out, or just want to learn how to blend controversy with growth, this one’s for you.

    ----

    Brought to you by:

    AI PM Certification: Get $500 with code AAKASH25

    Jira Product Discovery: Plan with purpose, ship with confidence

    The AI Evals Course for PMs & Engineers: You get $800 with this link

    ----

    Timestamps:

    21yo Worth $100M+ - 0:00

    Harvard Kicked Me Out - 3:02

    Tech Twitter Main Character - 4:33

    Ads - 6:44

    Controversial = Views Formula - 8:26

    Stripper Commercial Brainstorms - 12:47

    Liquid Glass Before Apple - 16:55

    User Feedback Drives Product - 19:48

    Sales Tech & Enterprise - 23:16

    Cheating in Meetings - 27:19

    Ad - 28:22

    How to Fundraise Like Roy - 29:28

    Brain Chips End Game - 31:05

    Roy vs Elon vs Sam - 33:12

    Frat House Culture - 34:44

    The Cluely Internship - 37:37

    Are We Getting Dumber? - 38:51

    Roy Going to Jail? - 40:44

    Thanks for Watching - 42:18

    ----

    Key Takeaways:

    1. Don’t wait for permission. He got kicked out of two top schools and used that energy to build something the world couldn’t ignore. If the system doesn’t reward you, build outside it.

    2. Design for real behavior, not rules. Interview Coder wasn’t legal or polite, it was effective. It gave users AI help without getting caught. Start with what people actually want.

    3. Rethink how AI should show up. Stop building chatbots. Build experiences where AI quietly blends into the workflow. Think overlays, not windows. Think invisible, not interruptive.

    4. Your product doesn’t need to sound safe. “Cheat on everything” wasn’t just a headline, it was a magnet for attention. Don’t fear being bold if it reflects what your product actually does.

    5. You don’t need a pitch deck if the story tells itself. Cluely raised $15M without running a process. When the traction is undeniable and your product is everywhere, investors come to you.

    6. Build virality into your operating system. Don’t “hope” something goes viral. Study what’s working. Run daily idea sessions. Create with the expectation that every post could hit 100M views.

    7. Make your content pass two filters or kill it. Can anyone understand it instantly? Will people feel something strong enough to react? If not, it won’t break through. Keep it simple and emotional.

    8. Ignore vanity metrics, chase visibility. Don’t waste time measuring click-through rates on content that won’t work next week. Stay focused on showing up everywhere your user lives.

    9. You don’t need a big team to move fast. Cluely runs on 4 engineers. No designers. No PMs. Still they've $6M ARR. If you can ship fast and learn faster, you’re already ahead.

    10. Build a product that feels inevitable. This isn’t just for sales teams. Cluely is betting on a world where AI support shows up before you even ask for it. Design for that future now.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Related Podcasts:

    Bolt CEO and Founder on How he Hit $30M ARR in a Year

    LogRocket CEO and Founder on How to Build a $100M+ AI Startup

    Amplitude CEO and Founder on Building the Product Analytics Leader

    ----

    P.S. More than 85% of you aren't subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we'll continue making this content better.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    How Zoom Took Over The World Jul 02, 2025
    Show notes

    Zoom grew from $1B to $4.5B in months - but behind the scenes, it was chaos.

    Learn how they froze features, scaled product teams, and held the platform together under global pressure from the head of product at Zoom meetings.

    ----

    Brought to you by:

    Jira Product Discovery: Plan with purpose, ship with confidence

    The AI Evals Course for PMs & Engineers: You get $800 with this link

    Product Faculty: Get $500 off the AI PM certification with code AAKASH25

    ----

    Timestamps:

    Preview – 00:00:00

    How Big Zoom Is – 00:02:12

    Simplifying Zoom UX – 00:03:40

    From $1 Billion to $4.5 Billion During Covid - 00:04:38

    The Three-Month Feature Freeze Story – 00:06:38

    Aakash Shares His Zoom Fortnite Concert Story – 00:07:30

    Advice for Product Leaders Facing Hypergrowth – 00:09:25

    Ad 1 (Jira) – 00:11:29

    Ad 2 (AI Evals Course) – 00:12:43

    One Thing He Would’ve Done Differently in His Career – 00:13:25

    Handling Zoom's Overvaluation, Layoffs, and Stock Price Drops – 00:14:20

    Future of AI in meetings - 00:16:09

    Zoom’s Shift into Broadcast and Events – 00:18:55

    Why Send a Meeting When You Could Record a Loom? – 00:21:35

    Can Zoom Catch AI Avatar Doing Interview - 00:26:23

    Ad 3 (AIPM Course) – 00:28:11

    Using Zoom Like a Pro – 00:28:58

    Cool Things About the AI Companion – 00:32:27

    Balancing Simplicity While Shipping Great Features – 00:36:37

    How PMs Can 10x Their Meeting Management – 00:40:42

    How to Get Hired at Zoom – 00:44:56

    What’s Unique About How Zoom Builds Products – 00:51:35

    Lessons Learned from Running QBRs – 00:54:18

    Culture at Zoom: Metrics Driven or Not - 00:57:03

    Zoom Team Adopting Prototyping Tools? – 00:58:53

    Outro – 01:00:17

    ----

    Key Takeaways:

    1. Zoom didn’t just scale, it survived a once-in-a-generation demand shock. In early 2020, Zoom grew from $1B to $4.5B revenue and added 180+ PMs in months. To stay afloat, they froze all feature development for 3 months and focused solely on stability, security, and critical user needs.

    2. Most teams drown in feature requests. Zoom built a triage system. He created structured buckets to track thousands of bugs, asks, and UI issues. This wasn’t just project management. It was the only way to maintain control during chaos.

    3. The best PMs don’t just fix, they find the root cause. Instead of reacting to symptoms, he emphasized thinking a layer deeper. What assumption broke? What system failed? Root cause thinking kept Zoom from wasting time on surface-level patches.

    4. Simplicity beats novelty even in billion-dollar products. Zoom’s team went deep on seemingly minor features like “Raise Hand.” They reworked ordering logic, host controls, and UX friction points, because good meetings are built on small, invisible wins.

    5. Zoom is no longer just meetings, it’s becoming a media platform. From live webinars to pro events, Zoom is building for marketers, educators, and producers. Tools like Zoom Events, Production Studio, and broadcast integrations are reshaping how large-scale communication happens.

    6. AI is Zoom’s next act and it’s already driving behavior change. The AI Companion generates instant meeting summaries, action items, and catch-up flows. Internally, teams rely on it heavily — and Beckmann calls it Zoom’s most impactful feature post-COVID.

    7. Async isn’t the end of meetings, it’s a better tool for the right job. After stepping away from meetings, John personally built Zoom Clips. It’s not here to replace meetings — but for product updates, specs, and visual explanations, async is more efficient and respectful.

    8. AI avatars aren’t hype, they solve a very real problem. When you're triple-booked with no breaks, avatars offer psychological relief - for both you and the people in the room. Better than being just another muted black screen.

    9. During layoffs, product leaders become morale managers. In 2023, John had to deliver tough news to his team. His stance: be honest, coach through uncertainty, and remind people that companies aren’t families, they’re teams. Your job is to build trust, not give false comfort.

    10. Want to stand out in a Zoom interview? Be human, not a highlight reel. Zoom hasn’t seen major AI cheating issues, yet. But John says authenticity matters more than polish. Don’t recite perfect answers. Speak like a real person who’s been in the work, solved real problems, and understands the platform.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Where to Find John:

    LinkedIn: John

    Twitter: Beckmania

    ----

    Related Podcasts:

    How ZoomInfo Grows: The Story, Growth Motion, and Product Strategy with CEO and Founder Henry Shuck

    15 Steps to Build a $100M+ AI Company (From Someone Who Has Done It) - With the Founder & CEO of AI Startup LogRocket, Matt Arbesfeld

    ----

    Up Next

    I hope you enjoyed the last episode with Aman Khan (It was not less than a AI PM Crash Course where we dove into 5 key AI PM skills). Up next, we have episodes with:

    Dan Olsen - Author, Lean Product Playbook

    Tanguy Crusson - Head of Product, Jira Product Discovery

    Hamel Husain and Shreya Shankar - Hamel Husain: ML Engineer, 20 years in AI; Shreya Shankar: PhD; building DocETL

    Finally, check out my latest deep dive if you haven’t yet: The Playbook to Land Your First PM Job.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    What I Learned From Filming 80 Podcast Episodes Jun 29, 2025
    Show notes

    Starting this podcast wasn’t an easy decision. It takes up nearly half my time. And for months, it wasn’t making any money.

    But fast forward to today, and the podcast is now profitable and central to my creator business.

    So I did something different this week.

    I recorded a solo episode breaking down everything I’ve learned:

    - How I built and monetized a niche podcast

    - The exact growth engine that powers the show today

    - Some killer AI workflows I’ve learned for your job search and PM job

    ----

    Brought to you by:

    Miro: The innovation workspace is your team’s new canvas

    The AI Evals Course for PMs & Engineers: You get $800 with this link

    Linear: Plan and build products like the best

    Product Faculty: Get $500 off the AI PM certification with code AAKASH25

    ----

    Timestamps:

    Part 1: How I Built and Monetized a Niche Podcast

    0:00 - Exponential Growth Finally Happening

    1:21 - How I Grew This Podcast

    4:31 - Learning From 80 Episodes

    8:46 - How Podcasts Make Money

    10:50 - My Dream Job: OpenAI

    Part 2: Breaking Into Product Management & Career Growth

    13:36 - Roadmap to Becoming a Product Manager

    14:05 - Why 2025 is Great For PMs

    21:22 - AI PM Skills Roadmap

    23:02 - Finding Your First Paying Customer

    26:12 - Zero to 250K Followers Strategy

    32:21 - LinkedIn $525K Salary Jump

    34:24 - High-Effort Content Strategy

    38:05 - Newsletter Success Stack Rank

    Part 3: Getting PM Jobs & Career Advice

    40:51 - Presenting Soft Skills on Resume

    42:46 - Breaking Into US PM Jobs (International Students)

    46:08 - Is Product Management Right For Me?

    49:54 - Time Management & Prioritization Mistakes

    52:15 - MBA to PM Roadmap

    55:41 - Finding the Right Mentors

    57:56 - Sprint Prioritization Framework

    59:39 - Detecting Product Passion vs Money Focus

    1:01:41 - Platform & AI Product PRDs

    1:04:09 - Product Management Beliefs That Changed

    1:05:41 - Newsletter Revenue & Churn Management

    1:07:02 - Time Management & Focus Strategies

    1:09:07 - Common Misconceptions About Content Creators

    ----

    Key Takeaways:

    01 — Podcast Turnaround

    This podcast is now passing 50K listeners per episode, 11K subscribers on YouTube, and has become central to my creator business. The exponential growth kicked in around episode 80 after consistent investment and improvement.

    02 — Quality Over Equipment

    Obsessing over microphones, cameras, and lighting hits diminishing returns fast. The real growth came from improving trailers, clip selection, and backing off endless equipment upgrades to focus on profit generation.

    03 — Creator Time Investment

    The podcast now consumes 50% of my time but generates significant monthly profit. Success required treating it as a long-term experiment, reinvesting everything for 50+ episodes before expecting returns.

    04 — Content Platform Strategy

    Start with LinkedIn until 10K followers, then add YouTube, then Twitter at 100K, then Medium at 1M. Master one platform completely before spreading to the next for maximum growth efficiency.

    05 — AI Prototyping Revolution

    Product managers can now build functional prototypes in minutes. Using Gemini 2.5 Pro for PRDs and Bolt.new for development, I built Apple Podcasts video features from strategy to clickable prototype in under 10 minutes.

    06 — Resume AI Mastery

    Gemini 2.5 Pro dominates resume customization, beating all other models. What used to take 15 minutes of manual customization now takes 80 seconds with better results using proper context and prompting techniques.

    07 — PM Job Security

    2025 is an excellent time to enter product management. 75% of PM work involves people coordination and stakeholder alignment that AI cannot replace, making it as secure as doctor/lawyer/engineer careers.

    08 — Career Switching Strategy

    Use your domain expertise as an edge — become a product analyst first, then transfer internally, or target companies building tools for your previous industry. Take the level down initially but leverage your customer knowledge.

    09 — PM Strategy Focus

    Stop being the design-engineering glue person. Your core identity should be product strategy, business metrics, and stakeholder management. Empower teams to answer their own questions while you influence at higher levels.

    10 — Platform Product PRDs

    Building for developers requires two-step user stories — what developers need from your platform, and what end users need from their products. Include API calls, uptime metrics, and governance considerations in your requirements.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Related Podcasts:

    Growing to 125K+ on LinkedIn and Cracking B2B Content with Pierre Herubel

    How to Win on TikTok and Medium with Professor Aaron Dinin, 100K+ on each

    How I Wrote 3 of My Biggest LinkedIn Posts

    ----

    P.S. More than 85% of you aren't subscribed yet. If you can subscribe on YouTube, follow on Apple & Spotify, my commitment to you is that we'll continue making this content better.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    The Lean Product Playbook 10 Years Later: Product Management in the Age of AI Jun 20, 2025
    Show notes

    Product management fundamentals are timeless. But the tools? Completely transformed.

    Every PM needs to master new workflows in 2025:

    AI Prototyping - From text to live prototype in minutes

    Design Collaboration - Working with designers in the AI age

    User Research - Systematic validation that actually works

    Problem Definition - The only bottleneck that matters

    Team Dynamics - Escaping the "Jira jockey" trap

    So, in today's episode, I bring you the definitive guide to product management in the AI era:

    I’ve teamed up with Dan Olsen - author of The Lean Product Playbook and one of the most respected voices in product management for over 15 years.

    Dan has seen it all: from the early days at Intuit to consulting with hundreds of startups.

    He's been through the internet wave, mobile wave, and now the AI wave.

    ----

    Brought to you by:

    WorkOS: Your app, enterprise ready

    Jira Product Discovery: Plan with purpose, ship with confidence

    The AI Evals Course for PMs & Engineers: You get $800 with this link

    Product Faculty: Get $500 off the AI PM certification with code AAKASH25

    ----

    Timestamps:

    Introduction - 0:00

    Lean Product Playbook Origins - 1:49

    AI's Real Impact on PMs - 3:44

    The Prototyping Revolution - 5:18

    Ads - 12:02

    Solution Space Risks - 14:18

    When Designers Become Bottlenecks - 22:49

    AI Tool Recommendations - 26:37

    Ads - 32:21

    Design Process Evolution - 34:07

    User Research Hierarchy - 42:32

    Testing Methods Explained - 44:34

    Running User Sessions - 53:05

    Avoiding Interview Mistakes - 1:01:15

    Systematic Feedback Capture - 1:03:23

    Escaping Jira Jockey Trap - 1:08:46

    Current BS Trends - 1:11:55

    Dan's Revenue Breakdown - 1:13:34

    Where to Find Dan - 1:18:33

    ----

    Key Takeaways:

    1. AI hasn't changed the fundamentals. You still need to understand customers, identify problems, and prioritize opportunities. AI can't tell you about your customers or validate market needs for you.

    2. Prototyping is the biggest unlock. What used to take weeks (text → sketches → wireframes → Figma → code) now happens in minutes (text → live prototype). This is where AI truly transforms PM work.

    3. Start with Lovable/Bolt, graduate to Cursor. Lovable and Bolt are perfect for quick prototyping without code. Cursor gives you more control and learning opportunities for serious AI PMs willing to touch code.

    4. The design gap is closing. AI tools have moved every team up 1-2 levels in UX maturity. Teams without designers can now create professional prototypes, but still need humans for breakthrough innovation.

    5. Match research method to uncertainty. New product/market = in-person research. Existing product usability = remote unmoderated. The more uncertain you are, the more human interaction you need.

    6. Use the three-bucket system. Categorize all user feedback into: Feature Set, UX Design, and Messaging. Test in waves of 5-8 users, track percentages, fix issues, repeat.

    7. Good usability ≠ product-market fit. Always ask "How likely are you to use this?" at the end. Dan learned this the hard way - zero complaints doesn't mean people want your product.

    8. Protect discovery time. If your PM-to-dev ratio is above 1:8, you're probably a Jira jockey. Use Dan's 4 D's: Discover → Define → Design → Develop. Spend meaningful time in all four.

    9. Collaborate, don't replace designers. Be upfront: "This prototype is directional, not pixel-perfect." Use AI for quick validation, bring designers in for differentiated experiences and innovation.

    10. Stop sprinkling AI everywhere. AI is a solution looking for problems. Start with real customer pain points, then figure out if AI solves them better than existing approaches.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Where to Find Dan:

    Book

    Website

    YouTube

    Lean Product Meetup

    ----

    Related Podcasts:

    Tutorial of Top 5 AI Prototyping Tools

    Complete Course: AI Product Management

    We Built an AI Agent to Automate PM in 73 mins (ZERO CODING)

    We Built an AI Product Manager in 58 mins (Claude, ChatGPT, Loom + Notion AI)

    We Built an AI Employee in 62 mins (Cursor, ChatGPT, Gibson, Crew AI)

    ----

    Up Next

    I hope you enjoyed the last episode with Tom Occhino (where we gave an in-depth v0 tutorial). Up next, we have episodes with:

    John Beckmann - Head of Events + Webinars, Zoom

    Tanguy Crusson - Head of Product, Jira Product Discovery

    Hamel Husain and Shreya Shankar - The 2 Experts in AI Evals

    Finally, check out my latest deep dive if you haven’t yet: The Playbook to Land Your First PM Job.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    AI PM Crash Course 2026: Prototyping → Observability → Evals Jun 15, 2025
    Show notes

    Every PM has to build AI features these days.

    And with that means a completely new skill set:

    - AI prototyping

    - Observability, Akin to Telemetry

    - AI Evals: The New PRD for AI PMs

    - RAG v Fine-Tuning v Prompt Engineering

    - Working with AI Engineers

    So, in today’s episode, I bring you a 2-hour crash course into becoming a better AI PM.

    I’ve teamed up with Aman Khan.

    When it comes to people creating AI PM content, Aman Khan is amongst the most insightful and informed. And that's because he's been an AI PM since 2019:

    - He worked at Cruise on self-driving cars.

    - He's worked with Spotify on their AI systems.

    - And now he works at Arize, one of the leading observability and evals companies.

    ----

    Brought to you by:

    Miro: The innovation workspace is your team’s new canvas

    Jira Product Discovery: Plan with purpose, ship with confidence

    Maven: Get $100 off Aman’s course with my code ‘AAKASHxMAVEN’

    Amplitude: Test out the #1 product analytics and replay tool in the market

    ----

    Timestamps:

    Can Anyone Become AIPM? - 0:00

    5 AIPM Skills Overview - 5:52

    Skill 1: AI Prototyping - 6:31

    Ad: Miro - 13:35

    Ad: Atlassian - 14:50

    Building Trip Planner Agent - 15:27

    Ad: Maven - 29:46

    Ad: Amplitude - 30:40

    Skill 2: Observability - 50:34

    Skill 3: Evals - 1:10:10

    RAG vs Fine-Tuning vs Prompt Engineering - 1:29:54

    Bolt Teardown - 1:30:32

    Skill 5: Working With Engineers - 1:43:24

    Don't Make These Mistakes - 1:48:33

    2 Hours Weekly Plan - 1:53:55

    AIPM Jobs Exist - 1:57:45

    Aman's Resources - 2:00:48

    Outro - 2:04:00

    ----

    Key Takeaways:

    1. Cursor beats Bolt for serious AI PMs. While Bolt is great for quick mockups, Cursor gives you the control you need to build real agent systems and understand what's happening under the hood.

    2. Observability comes before evals. Just like regular products need telemetry for analytics, AI products need traces for evals. Point Cursor to documentation and it adds what you need.

    3. Vibe coding doesn't scale. Looking at outputs and deciding if they "feel good" works for prototypes, but not production. You need systematic evals to measure what "good" actually means.

    4. Most PMs fine-tune too early. Aman showed a prompt outperforming a fine-tuned model. Start with prompting (95% of results), add RAG for external data, only fine-tune for cost/speed.

    5. Your evals need evals. When your LLM judge marks outputs as "friendly" while your human labels say "robotic," that mismatch tells you exactly where to improve your system.

    6. Use text labels, not numbers. LLMs understand "friendly vs robotic" better than 1-5 scales. They're trained on language, not mathematics.

    7. AI engineers want data, not docs. Stop sending Google Docs with requirements. They want you labeling datasets and defining success through evals.

    8. Bolt is just a really good prompt. Aman tore down Bolt's architecture - it's system prompts + tool calling + code generation. The "magic" isn't magic.

    9. Side projects are your interview hack. When Aman asks "What are you building?" he can immediately gauge curiosity, initiative, and hands-on experience.

    10. Don't automate yourself too early. Use AI as a second brain for analysis, but don't try to automate your entire job. Learn to work with reasoning models to push your thinking.

    ----

    Check it out on Apple, Spotify, or YouTube.

    ----

    Where to Find Aman:

    LinkedIn: Aman Khan

    X: Aman Khan

    Substack: aiproductplaybook.com

    Company: Arize

    Course: The AI PM Playbook

    ----

    Related Podcasts:

    Tutorial of Top 5 AI Prototyping Tools

    Complete Course: AI Product Management

    We Built an AI Agent to Automate PM in 73 mins (ZERO CODING)

    We Built an AI Product Manager in 58 mins (Claude, ChatGPT, Loom + Notion AI)

    We Built an AI Employee in 62 mins (Cursor, ChatGPT, Gibson, Crew AI)

    ----

    Up Next

    I hope you enjoyed the last episode with Tom Occhino (where we gave an in-depth v0 tutorial). Up next, we have episodes with:

    Dan Olsen - Author, Lean Product Playbook

    John Beckmann - Head of Events + Webinars, Zoom

    Tanguy Crusson - Head of Product, Jira Product Discovery

    Finally, check out my latest deep dive if you haven’t yet: The Playbook to Land Your First PM Job.

    ----

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    Behind v0 (Top AI Prototyping Tool): Tutorial and Story from the CPO in 2026 Jun 11, 2025
    Show notes

    “My whole Product, design, and engineering team has v0 licenses.”

    That’s what Jeremy Epling, CPO at Vanta, said in a recent episode.

    So, I went straight to the source.

    I sat down with the CPO of Vercel to unpack why v0 is becoming the tool for modern product and engineering teams alongside vibe coders.

    We cover:

    - The future of AI prototyping for PMs and designers

    - How v0 builds product

    - A full tutorial of v0

    Whether you’re a PM trying to stay ahead, a founder rethinking velocity, or a builder curious about what’s next, this episode is for you.

    Brought to you by:

    WorkOS: Your App, Enterprise Ready

    Jira Product Discovery: Build what matters to business and users

    The AI Evals Course for PMs & Engineers: You get $800 with this link.

    Product Faculty: Get $500 off the AI PM certification with code AAKASH25

    Timestamps:

    Preview – 00:00:00

    The Agenda – 00:01:07

    Live Demo 1: Cloning LinkedIn Newsfeed – 00:03:01

    Live Demo 2: Personalized Apollo Homepage (Based on User Behavior) – 00:04:50

    Ad 1: WorkOS – 00:09:50 A

    d 2: Jira Product Discovery – 00:11:O2

    LinkedIn Demo Continued – 00:11:58

    Live Demo 3: Grok-Powered Post Composer – 00:14:04

    What He’s Building with v0 – 00:15:34

    The Feature Factory Problem – 00:24:16

    Team Size Behind v0 – 00:27:25

    Ad 3: AI Evals Course by Hamel & Shreya – 00:29:39

    Ad 4: AI PM Course by Product Faculty – 00:30:39

    Team Size Behind Vercel – 00:31:26

    Competing with Bolt, Lovable, Replit & Others – 00:34:18

    His Reflections on Creating React – 00:35:39

    Demo Updates and What’s Changed – 00:37:57

    How Vercel Builds Products – 00:43:45

    How v0 Team Uses v0 Internally – 00:48:37

    How PMs Should Think About Prototyping – 00:50:26

    From Integration Idea to Shipped Feature: Thought Process – 00:53:04

    Buying v0 Licenses for the PM Team – 00:57:37

    His Journey: From Engineer to CPO – 00:59:32

    How He Landed the CPO Role at Vercel – 01:03:56

    The Future of AI for PMs – 01:11:19

    Closing Thoughts – 01:14:37

    Key Takeaways

    1. The prototype is the new PRD. You don’t need a 5-page document to explain an idea anymore. A working prototype - even if imperfect - communicates 10x more. And with tools like v0, you can build one in minutes.

    2. Building speed doesn’t eliminate the need for strategy, it amplifies it. When anyone can ship, the most important job becomes deciding what’s worth building. Product discernment is more valuable than ever.

    3. v0 isn’t just for engineers. Designers, PMs, and even salespeople are now building working apps without touching code. The line between "builder" and "non-builder" is disappearing.

    4. Internal use cases drive innovation. The most successful v0 features didn’t come from competitive analysis, they came from real internal needs. If it solves your own team’s pain, it’ll likely solve others’.

    5. Prototyping is now a cross-functional superpower. PMs can validate hypotheses instantly. Designers can test flows without waiting on devs. Sales can create tools for prospects on the fly. Every role levels up when they can build.

    6. Fast iteration doesn't mean reckless shipping. The team behind v0 deliberately avoids becoming a “feature factory.” Speed is a tool, not a reason to skip prioritization or problem framing.

    7. Your first user is you. This is the core ethos behind v0. If your own team doesn’t use the thing you’re building, something’s wrong. Internal conviction leads to better external adoption.

    8. AI won’t be a separate feature, it’ll be the fabric. In the near future, no one will ask “What’s your AI roadmap?” It’ll just be how products get built, used, and improved - quietly running underneath everything.

    9. Small teams can ship big things. The v0 team is under 14 people, yet they’ve built a tool that’s enabling thousands to build faster. Size is no longer a limiting factor — clarity and leverage are.

    10. The future of product roles is hybrid. Expect to see more design-engineers, PM-builders, and AI-augmented contributors. Tools like v0 are collapsing boundaries — and giving everyone a chance to ship.

    Check it out on Apple, Spotify, or YouTube.

    Where to Find Tom

    LinkedIn: Tom

    Website: www.tomocchino.com

    Company: vercel

    v0: v0.dev

    Related Podcasts:

    Tutorial of Top 5 AI Prototyping Tools

    Complete Course: AI Product Management

    We Built an AI Agent to Automate PM in 73 mins (ZERO CODING)

    We Built an AI Product Manager in 58 mins (Claude, ChatGPT, Loom + Notion AI)

    We Built an AI Employee in 62 mins (Cursor, ChatGPT, Gibson, Crew AI)

    Up Next

    I hope you enjoyed the last episode with Brett (where we discussed how he built a $2M/y one person productized agency and how you can too). Up next, we have episodes with:

    Aman Khan - AI PM @ Arize AI, Spotify, Cruise

    John Beckmann - Head of Meetings Product, Zoom

    Tanguy Crusson - Head of Product, Jira Product Discovery

    Finally, check out my latest deep dive if you haven’t yet: AI Evals: Everything You Need to Know to Start.

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    He Runs a $2M/Yr One-Person Business - Here's How You Can Too Jun 07, 2025
    Show notes

    Brett Williams (better known as Brett from DJ on X) built a design business over a weekend, scaled it to $80K/month… and still didn’t quit his job.

    Now he has, and he runs a $2M/year one-person business.

    In today's episode, he helps you steal his playbook:

    Brought to you by:

    Amplitude: The market-leader in product analytics

    Jira Product Discovery: Build What Matters To Business And Users

    The AI Evals Course for PMs and Engineers: Use code “ag-product-growth” to get $800 off.

    Timestamps:

    Preview - 00:00:00

    How Brett Started a Business with Full-Time Job - 00:02:41

    Why Brett's Approach is Different - 00:07:59

    Concept Behind Packaging - 00:09:47

    Ad - 00:12:31

    Ad - 00:13:10

    Strategies to Reach Success - 00:14:33

    Common Requirements of Clients - 00:17:25

    How Long is Brett's Turnaround - 00:21:04

    Focus on Distribution Platfrom - 00:24:43

    Brett's Life on Twitter - 00:28:29

    Design in Figma -- Tutorial - 00:32:41

    Ad - 00:35:31

    Importance of Using AI Skills Right - 00:36:12

    Handling Thumbnails - 00:55:09

    Ending Notes - 01:08:23

    Key Takeaways

    1. One guy. One Trello board. $2 million a year. DesignJoy is what happens when you stop overcomplicating and start executing. No team. No agency overhead. No client onboarding flow. Brett built a $2M/year design business with just a landing page, a Trello board, and relentless output. People pay for clarity and DesignJoy offers just that.

    2. He was making $80K/month… and still didn’t quit his job. Most founders quit when the side hustle hits $10K. He waited until $80K/month, then still applied to 60 jobs. Why? Because deep down, he wasn’t sure it would last. That’s the quiet truth for many solo builders: it’s not just about making money, it’s about believing you deserve it.

    3. His offer is stupidly simple and that’s what makes it genius. One flat price. One request at a time. One-man turnaround in ~48 business hours. That’s it. Clients don’t need to scope projects, negotiate timelines, or wonder what they’ll get. It’s design like Netflix: press play, get results. As they say, simplicity scales better than process.

    4. DesignJoy was built in 48 hours and validated in real-time. No growth strategy. No “perfect launch.” Just a clean offer built in a weekend, launched Saturday, clients by Sunday. And then? He kept going not by making it absolutely complex, but by refining the exact same system for years.

    5. He designs faster than most teams can Slack about it. He doesn’t wireframe, brainstorm, or explore 12 directions. He one-shots full high-fidelity designs in Figma using instinct, experience, and a deep mental library of design patterns. No templates. Just speed, conviction, and clarity - honed from years of obsessively consuming great design. In essence, real mastery as Robert Greene has proclaimed for years!

    6. He doesn’t chase perfection, he chases velocity. His goal isn’t to win design awards. It’s to get you 90% of the way there, fast. And if the first version isn’t right, he doesn’t defend it, he just ships another one. That’s why clients love him. That can be another reason why he’s making more than like 99.99% of the designers!

    7. His distribution channel is only X (Twitter) and here how he nails it. He treats X (Twitter) as oxygen. He’s not there to share random thoughts he’s there to build distribution. Whether it’s revenue milestones or AI-powered design tutorials, everything he posts is battle-tested for reach. And right now, nothing is outperforming high-value, visual tutorials. So, if your work involves AI somehow, make sure you’re dropping banger visuals. Overall, if I conclude his content strategy, it would be this: highly valuable content, jumping on trends, controversial/hot takes, etc.

    8. He doesn’t trust Figma anymore. Ask him what Figma has become, and he won’t hold back: “They’re building for developers, not designers.” He’s watched the updates shift toward dev mode and tokens while UI/visual designers get left behind.

    9. But why he doesn’t do any meetings with clients? He built his business around the idea that great work is communication. His clients don’t want another Zoom call, they want a landing page by Friday. That’s why he wins. Every deliverable speaks louder than status updates.

    10. Here’s how you can build a one person agency around your expertise:→ Productize your strongest skill.→ Limit what you offer to what you’re best and fastest at.→ Pick one platform and post with consistency and clarity.→ Work solo if you can but systematize everything.

    Sounds too simple but truly that’s only the sauce.

    Check it out on Apple, Spotify, or YouTube.

    Where to Find Brett

    Twitter: Brett

    Company: Designjoy

    Course: Productize Yourself

    Related Podcast:

    How this Ex-Amazon VP makes $950k/yr post retirement

    Up Next

    I hope you enjoyed the last episode with Harish Mukhami (where we built AI Customer Success Agent). Up next, we have episodes with:

    Thomas Occhino - CPO, Vercel

    Aman Khan - AI PM @ Arize AI, Spotify, Cruise

    Nan Yu - Head of Product, Linear

    Finally, check out my latest deep dive if you haven’t yet: Career-Launching Companies: These are the Companies You Should Work For

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    We Built an AI Employee in 62 mins (Cursor, ChatGPT, Gibson, Crew AI) Jun 01, 2025
    Show notes

    This is another episode from our AI PM series.

    This time, we’re building an AI teammate that runs user research, writes product docs, and powers customer success end-to-end with GibsonAI founder, Harish Mukhami.

    Brought to you by:

    Amplitude: The market leader in product analytics

    Linear: Plan and build products like the best

    Maven: I’ve launched my own curation of their courses

    Timestamps:

    Preview – 00:00:00

    Building AI Customer Success Agent (Tool Stack) – 00:01:46

    Role of GibsonAI in Building Customer Success AI Agent – 00:07:29

    Using Data from O3 Mini – 00:09:20

    Ad (Amplitude) – 00:10:13

    Ad (Linear) – 00:10:45

    Directing GibsonAI – 00:11:45

    Connecting GibsonAI via MCP – 00:17:38

    Role of Cursor – 00:21:10

    Python Script Inserting Data – 00:26:56

    Understanding Cursor Modes – 00:29:00

    Ad (Maven) – 00:30:38

    Our Dashboard Is Ready – 00:31:01

    AI Agent That Analyzes Data and Recommends Actions – 00:33:44

    The Most Important Thing Agent Is Doing – 00:41:46

    Aakash’s Reaction to Output – 00:50:51

    Role of CrewAI – 00:52:01

    Why He Built GibsonAI – 00:56:35

    Final Thoughts – 01:00:15

    Key Takeaways

    1. Production Over Prototypes - Stop building prototypes and start shipping production-ready AI employees. Gibson AI, Cursor, and CrewAI let you go from concept to production in hours. Harish's agent was backed by a scalable database handling 10,000 users day one—no rebuilding required.

    2. Amplify, Don't Replace - Your next 10x gain comes from making existing teams superhuman. AI agents analyze dashboards 24/7 and draft personalized outreach, while human CS agents focus on high-touch relationships and strategic decisions.

    3. Three-Tier Implementation Strategy - Follow this roadmap: dashboard → human-approved recommendations → autonomous actions. Start with AI insights humans review, then AI recommendations humans approve, finally autonomous execution for low-risk tasks.

    4. Human-Loop Insurance - Human-in-the-loop is customer relationship insurance. Harish built approval workflows because random AI emails "will only make the problem worse." AI should amplify human judgment, not bypass it.

    5. Proactive Beats Reactive - Proactive churn prevention beats reactive win-back by orders of magnitude. AI agents monitor engagement patterns and usage metrics to address churn risks before customers consider leaving.

    6. MCP Integration Magic - MCP makes AI tools actually talk to each other. Harish could query databases, update schemas, and deploy changes directly from Cursor—seamless integration without manual tool switching.

    7. Information Processing Automation - Any role that "ingests information and sends out information" is automatable. SDRs, recruiters, executive assistants—if it involves processing data and taking action, AI handles the heavy lifting.

    8. Specialized Model Selection - Different models excel at different tasks. Harish used O3 Mini for planning, Claude Sonnet for coding. Match your model choice to the specific job rather than defaulting to popularity.

    9. Day-One Infrastructure - Production-grade infrastructure eliminates the prototype-to-production death valley. Starting with scalable database infrastructure means your demo can actually handle real user volumes when stakeholders want to scale.

    10. Always Review Code - Read AI-generated code even when moving fast. Despite impressive capabilities, human oversight remains critical: "Make sure it is the code that you want." Speed matters, but understanding what you ship is non-negotiable.

    Check it out on Apple, Spotify, or YouTube.

    Where to Find Harish

    LinkedIn: Harish Mukhami

    Company: GibsonAI

    Related Podcasts:

    Tutorial of Top 5 AI Prototyping Tools

    Complete Course: AI Product Management

    We Built an AI Agent to Automate PM in 73 mins (ZERO CODING)

    We Built an AI Product Manager in 58 mins (Claude, ChatGPT, Loom + Notion AI)

    Up Next

    I hope you enjoyed the last episode with Jeremy Epling (where we discussed the lessons he learned from working at Microsoft and now CPO, Vanta). Up next, we have episodes with:

    Bret @DesignJoy - Running Solo $2M/yr Design Agency

    Thomas Occhino - CPO, Vercel

    Aman Khan - AI PM @ Arize AI, Spotify, Cruise

    Finally, check out my latest deep dive if you haven’t yet: Career-Launching Companies: These are the Companies You Should Work For

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

    Vanta ($2.4B) CPO: "My Whole Org has v0 Licenses" May 26, 2025
    Show notes

    Jeremy Epling has led product at every level - Microsoft, GitHub, and now as Chief Product Officer at Vanta.

    In this episode, he unpacks what most PMs get wrong about strategy, how AI is reshaping product development, and how to excel at your career.

    Brought to you by:

    Linear: Plan and build products like the best

    Amplitude: Try their 2-min assessment of your company’s digital maturity

    Maven: I’ve launched my own curation of their courses

    Timestamps:

    Preview – 00:00:00

    Working at Internet Explorer – 00:02:05

    Why He Encourages AI Prototyping Tools – 00:06:15

    Ad (Linear) – 00:09:56

    Ad (Amplitude) – 00:10:48

    AI Prototyping Tools Impact Continued... – 00:11:23

    How a Microsoft Feature Gets Built – 00:15:47

    Changes in PM Role Inside Microsoft – 00:17:57

    Lessons Learned From Satya – 00:20:59

    Steps to Move Up the Career Ladder – 00:25:11

    Ad – 00:30:45

    Communication as a Step in the Career Ladder – 00:31:33

    Moving Beyond the Product – "The Final Step" – 00:34:11

    GitHub for PMs – 00:37:33

    Experience as a VP – 00:42:33

    Evolving Expectations of Director-Level Roles – 00:48:51

    Getting Job in Vanta – 00:51:59

    Secret Behind Vanta's Success – 00:58:01

    Growth in PLG vs. Enterprise – 01:01:36

    Unique Things About Building a Product – 01:03:57

    Embracing All AI Software – 01:07:16

    Evaluation of PMs at Vanta – 01:11:12

    Advice to PMs With No Experience – 01:13:56

    Key Takeaways

    * Big companies teach you how to scale. Great ones teach you how to focus. At Microsoft, Jeremy learned how to operate at massive scale - teams, systems, legacy complexity. But it wasn’t until GitHub that he saw what it meant to focus on developers, ruthlessly prioritize, and ship with empathy. Learning how to balance enterprise-scale thinking with startup-speed execution shaped his career.

    * “Strategy” isn’t about having a roadmap, it’s about knowing what not to build.He learned early on that the best PMs aren’t the ones who ship the most features. They’re the ones who create clarity, say no often, and focus the team on why they’re building something, not just what.

    * Prototyping is the new PM’s superpower. At Vanta, every PM gets access to V0. Why? Because the fastest way to learn is to build. His philosophy: “If I can show it, I can test it. If I can test it, I can learn.” Seeing is believing and customers don’t respond to decks the way they respond to demos.

    * The lines between PM, design, and engineering are gone. At high-functioning companies, designers submit pull requests, engineers make design calls, and PMs prototype. Roles are fluid, and the best teams adapt to each other instead of clinging to old job descriptions.

    * Most PMs don’t understand GitHub but they should. You don’t have to be technical to learn GitHub. You just have to be curious. The best PMs at GitHub - even the non-coders - understood the dev workflow, knew what a PR felt like, and respected the architecture. That empathy changed how they built product.

    * Want to grow into VP-level roles? Improve your business acumen. Shipping features won’t get you there. Understanding margin, pricing, GTM, and how your product makes money will. He didn’t start out as a “business” PM, but he made a point to learn the mechanics of how things grow and that’s what unlocked leadership roles.

    * If you’re doing the same job after 4 years, you’re probably not growing. He kept switching teams every few years at Microsoft not because he was bored, but because growth requires friction. Every new domain forced him to relearn how to build, lead, and communicate.

    * Satya Nadella didn’t just save Microsoft, he redefined what it meant to build product there. Under Ballmer, the strategy was “build everything.” Under Satya, it became “build what matters.” He saw firsthand how Satya’s obsession with clarity and developer-first thinking rewired the org. That’s what made it the best place for PMs to work back days.

    * If your team is waiting for a spec, they’ve already lost momentum. He doesn’t believe in 20-page PRDs. Instead, he believes in fast cycles, shared prototypes, and cross-functional discovery.

    * Letting go is the lost art for PMs! One of the fastest ways to grow as a PM? Kill projects that don’t matter even if they were your idea. According to him, the PMs who get promoted are the ones who know when to let go and when to keep building on the idea.

    Check it out on Apple, Spotify, or YouTube.

    Where to Find Jeremy

    LinkedIn: Jeremy Epling

    Company: Vanta (Get $1,000 off with our link)

    Related Podcasts:

    Write a Great Product Strategy: Lessons from Ravi Mehta

    How to Develop Your Product Strategy, with Satyajeet Salgar

    Shek Viswanathan (2x CPO): “Product Management isn’t going to exist in 5 years”

    Sergio Pereira: How to PM with AI at Early Stage Startups

    The Claire Vo Episode: PM is Dead. So Now What?

    Tutorial of Top 5 AI Prototyping Tools

    Up Next

    I hope you enjoyed the last episode with strategy legend, Roger Martin (the last video you’ll ever need to watch on Strategy). Up next, we have episodes with:

    Bret @DesignJoy - Running Solo $2M/yr Design Agency

    Harish Mukhami - Fmr Head of Product, Siri; CPO, Leaflink

    Thomas Occhino - CPO, Vercel

    Finally, check out my latest deep dive if you haven’t yet: What Product Management Interviewers Care About: Insights from 500+ Interviews

    If you want to advertise, email productgrowthppp at gmail.


    This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.news.aakashg.com/subscribe

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