Product Growth Podcast

Aakash Gupta

The latest insights into how great products grow, how to be a better PM or product leader, and how to get a PM job. www.news.aakashg.com

  1. 1D AGO

    Context Engineering: The Secret Behind $10M ARR in 60 Days, with Kuse Founder Xiankun Wu

    Today’s Episode Why do your prompts keep failing? You write the perfect prompt. The AI spits out garbage. You tweak. You iterate. You spend hours getting mediocre results. XK built Cues to $10M ARR in 60 days with zero VC funding and zero advertising. Today, he’s dropping the complete playbook: ----- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: Reforge http://reforge.com/aakash ----- Key takeaways: 1. Context engineering beats prompting - One prompt won't work. Like hiring someone who knows nothing about your company—impossible to get results in 5 seconds. Accumulate context, build knowledge base, let AI know you over time. Combines system prompts, user prompts, memory, and RAG.2. The Mom analogy - Your mom knows your preferences, goals (grow taller for basketball), what makes you happy. She doesn't need detailed instructions. That's context engineering. AI that knows you creates better results and positive loops.3. Threads growth hack - Created hundreds of accounts posting use cases daily. Zero ad spend. Why it works: Threads gives traffic generously, less crowded than X, no creator hierarchy. Result: 3M impressions/month, hundreds of daily visits. Targeted Taiwan/Hong Kong markets.4. MVO before MVP - Traditional: Feature → PRD → Design → Ship. Xiankun's way: Get model output right FIRST. Use RAG, prompting, fine-tuning for Minimal Viable Output. Then productize. "If no desired outputs, don't spend time productizing."5. Visual context engineering - Use spatial tools: draw squares, graphs, sketches. AI understands spatial relationships. Unlike ChatGPT where files disappear, Kuse gives 2D space to store/reuse. Graphic operating system for AI that compounds.6. The pivot story - Started as design agent. Users uploaded documents instead. Knowledge base usage far exceeded design. Pivoted to horizontal knowledge-based AI. Listen to your users.7. Why X sucks for growth - Structured creator hierarchy. Can't farm traffic without famous connections. Good for VC fundraising, terrible for user acquisition. Threads and Instagram are underserved with real users.8. Compounding context power - Regular chatbots: one-off, context disappears. Kuse: processes files when you're away, pre-prepares everything. Like having ingredients ready vs ordering each time. Each interaction improves.9. Trading company origin - Co-founded YC company, created trading company, made money, funded Kuse with profits. Built without VC pressure. "Entrepreneurship is a game of focus." Building without chasing VC gives fresh perspective.10. Future vision: productivity playground - "Not building productivity tool, building playground." When AI takes jobs (2030-2040), people need fulfillment. Kuse is amusement park where people pretend to work, feel satisfaction. Going to pure pleasure, not efficiency. ---- Where to Find Xiankun Wu * LinkedIn * Threads * Company ---- Related Content Podcasts: * We Built an AI Employee in 62 mins * Conversation with the CEO and Founder of Bolt * This $20M AI Founder Is Challenging Elon and Sam Altman | Roy Lee, Cluely Newsletters: * Context Engineering Guide * Prompt Engineering in 2025 * How to become an AI Product Manager ---- PS. Please subscribe on YouTube and follow on Apple & Spotify. It helps! ---- 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

    44 min
  2. 4D AGO

    How to Land an AI PM Job: Complete Roadmap from Hamza Farooq

    Today’s Episode The salary for AI PMs is skyrocketing. Hamza Farooq works with companies like Home Depot, Trip Adviser, and Jack in the Box on their AI strategy. He teaches AI PM courses at Stanford, UCLA, and Maven. Today, he’s giving you the complete 6-month roadmap to go from no experience to PM at OpenAI or Anthropic. We built a live AI prototype in 30 minutes (with RAG and agents working). And Hamza breaks down the exact technical skills you need to master. ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: * Maven * Amplitude: The market-leader in product analytics * Vanta: Leading AI compliance platform * NayaOne * Kameleoon: Leading AI experimentation platform ---- Key Takeaways: 1. AI PM salaries are skyrocketing - The median total comp for AI PMs is rapidly increasing. But now you need technical depth. Previously, you didn't need to know what RAG is or how fine-tuning works. Now you have to be a jack of all trades.2. We built a working prototype in 30 minutes - Live demo: Lovable for front-end + n8n for workflow automation + RAG connected and working. What used to take days now takes minutes. This is the power of modern AI PM tools.3. Context engineering is more important than prompt engineering - Prompt engineering is what you tell an LLM. Context engineering is how you design the instructions. You combine: system prompt, user prompt, memory (long-term), and RAG. This enables true personalization.4. Know the difference: fine-tuning vs RAG - Fine-tuning = adding new vocabulary (new words). RAG = adding new knowledge (new information). Use RAG for knowledge that changes frequently. Use fine-tuning for vocabulary or specialized response patterns.5. The 5-step architecture you need to master - Step 1: Understand what LLMs are. Step 2: Learn how to build applications. Step 3: Master prompt engineering. Step 4: Implement RAG systems. Step 5: Build agentic systems. Follow this roadmap on repeat.6. Use the three-wave approach for building - Wave 1: Save time (efficiency gains). Wave 2: Better quality (better output). Wave 3: Completely new (novel capabilities). Start with time-savers, progress to quality improvements, end with breakthrough innovations.7. Ask yourself 3 questions before building anything - Does it solve a user problem? Does it solve an organizational problem? Does it align with your business model? If yes to all three, build it. This validates every project.8. Build-first mentality wins - Don't just follow roadmaps. Keep building things. You have to learn by doing. The best way to become an AI PM is to build 10+ projects and see where your products fit in solving real business problems.9. Real-world example: Traversal.ai - Hamza's company works with manufacturers (Amazon suppliers, Jack in the Box, Home Depot). They built an army of agents processing 20,000 SKUs daily with demand forecasts. Results: better inventory optimization, planning, and cost savings.10. Teaching accelerates your own growth - Hamza makes 10-15% of revenue from Maven courses. Why keep teaching? "I teach because I grow." His foundation course builds empathy with users. His developer course uplifts his technical skills by working on real problems with senior engineers. ---- Where to Find Hamza Farooq * LinkedIn * Newsletter Related Content Podcasts: * Google AI PM Director drops an AI PM Masterclass * If you only have 2 hrs, this is how to become an AI PM * Complete Course: AI Product Management Newsletters: * How to Become an AI Product Manager with No Experience * How to Write a Killer AI Product Manager Resume * How to become an AI Product Manager ---- PS. Please subscribe on YouTube and follow on Apple & Spotify. It helps! ---- 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

    29 min
  3. NOV 16

    I put the 5 best AI prototyping tools to the test with Magic Patterns CEO Alex Danilowicz

    Today’s Episode Every PM needs to master AI prototyping in 2025. But which tool should you use? And how do you actually prototype effectively? Alex Danilowicz built Magic Patterns to $1M in revenue in 6 months. Today, we’re putting his tool against the competition live. We built the same prototype in 5 different tools and graded each one. Then Alex shared the exact workflow his customers use. ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: Vanta: Leading AI compliance platform Testkube: Leading test orchestration platform Kameleoon: Leading AI experimentation platform Jira Product Discovery: Plan with purpose, ship with confidence The AI PM Certificate: Get $550 off with ‘AAKASH550C7’ ---- Key Takeaways 1. Different tools for different jobs - Magic Patterns excels at visual prototyping, user research, and design system integration. V0/Replit/Bolt excel at full-stack functionality, real APIs, and backend. We tested 5 tools live—V0 won (3.7 GPA), Magic Patterns second (3.6 GPA).2. Define your end goal before opening any tool - Sharing with customers = need design system. Internal validation = skip brand context. Alex's mistake in our face-off? He jumped into building without setting up his preset and wasted time retrofitting ChatGPT's Agent Kit styling later.3. Set up your design system in 5 minutes - Magic Patterns Chrome extension grabs components from Storybook, production sites, or Figma. Click "Convert to Component" and it's available in every prompt. Converts HTML to Tailwind automatically. 5 minutes upfront saves hours later.4. Gather context before prompting - Don't start with blank prompts. Common sources: Jira tickets, PRDs, competitor screenshots, customer feedback. Power users use ChatGPT/Claude to write their Magic Patterns prompts first.5. Use select mode for iterations - Vague prompts waste time. Bad: "Make it better." Good: "Move toast to top-left and make it green." Always click the exact element you want to change. The AI can't read your mind.6. The new product development workflow - Old: Write PRD → Align stakeholders → Build → Pray. New: Build prototype (30 min) → Share link → Test with customers → Iterate → Write PRD with learnings → Build validated solution. Cuts 15+ meetings down to 1.7. AI prototyping cuts failure rates in half - 80% of features don't hit their metrics. You're building blind. With prototypes, you validate: usability, viability, value, drop-offs, corner cases. Before: only test biggest features. Now: test every feature.8. Break out of doom loops - Pattern to avoid: "Doesn't work" repeated 10 times. Repeating the same prompt makes it worse. Use Magic Patterns' /debug command or restart with clearer prompt. Read the AI's output—it's having a conversation.9. Master the 4-step workflow - Step 0: Define end goal. Step 1: Set up design system (if needed). Step 2: Gather context (PRDs, screenshots). Step 3: Iterate specifically with select mode. This workflow helped Magic Patterns hit $1M revenue in 6 months.10. Know when to use each tool - Magic Patterns finished first in speed with best iteration quality. Replit prompted for OpenAI key (more functionality). Use Magic Patterns for: user validation, testing interactions. Use V0/Replit for: backend, real APIs, deployable prototypes. ---- Where to Find Alex Danilowicz * LinkedIn * Twitter/X * Website ---- Related Content Podcasts: * Cursor Tutorial * Windsurf Tutorial * AI Prototyping Tutorial Newsletters: * AI Agents: The Ultimate Guide for PMs * Ultimate Guide to AI Prototyping Tools * How to Land a $300K+ AI Product Manager Job ---- 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

    42 min
  4. NOV 9

    How to Engineer Delight Into AI Products: The Complete Playbook from Spotify & Google PM Nesrine Changuel

    Today’s Episode Why do some AI products feel like magic while others feel like work? You shipped. It works. Your metrics show “success.” But users aren’t coming back. They’re not telling friends. And next quarter, they’ll switch to the competitor with a better model. Nesrine Changuel built Spotify Wrapped and ran Google’s Delight Team. Today, she’s giving you the complete playbook: The 4-step Delight Model to engineer emotional connection (not just satisfaction) ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: * Miro: The AI innovation workspace * Vanta: Leading AI compliance platform * Testkube: Leading test orchestration platform * Kameleoon: Leading AI experimentation platform * The AI PM Certificate: Get $550 off with ‘AAKASH550C7’ ----- Key Takeaways 01 | Understand the 3 Types of Delight Low Delight solves functional needs only. Surface Delight adds emotion without function (confetti, animations). Deep Delight combines both - solving problems while creating emotional connection. ChatGPT and Cursor win because they nail Deep Delight. Most PMs only ship Low Delight. 02 | Follow the 50-40-10 Rule Allocate 50% of your roadmap to Low Delight (core functionality), 40% to Deep Delight (differentiation), and 10% to Surface Delight (brand personality). Deep delight drives 2x retention, 2x referrals, and 2x revenue versus satisfied users. This is your competitive moat. 03 | Start with Motivational Segmentation Stop segmenting by demographics. Identify WHY users actually use your product. Map functional motivators (search, get inspired) AND emotional motivators (feel less lonely, feel proud). Your users aren't all using your product for the same reason. 04 | Use the Delight Grid Create a grid with functional motivators on vertical axis and emotional on horizontal. Place every feature idea on it. Only functional = Low Delight. Only emotional = Surface Delight. At the intersection = Deep Delight. Can't map it? Don't build it. 05 | Apply the Humanization Technique Ask: "If my product was a human, how would the experience be better?" Google Meet compared to being in the same room, not Zoom. Dyson compares to hiring a human cleaner, not competitors. This creates features like hand raise and emoji reactions. 06 | Validate with the Delight Checklist Before shipping, ask: Does it bring value to business AND user? Is it inclusive? Is it familiar? Is it continuous? Is it measurable? Google Meet held back filters until they worked on ALL skin tones. This prevents Apple's breakup message disaster. 07 | Study Deep Delight Examples Gmail Smart Compose reduces stress while helping you write. Google Meet's AI translation uses YOUR voice and emotion. Spotify's Discover Weekly personalizes while creating belonging. Chrome's Inactive Tabs improves performance while respecting user relationships. Function + emotion together. 08 | Test for Corner Cases Obsessively Apple's AI summarized a breakup as "no longer in relationship, wants belongings." WhatsApp told a grieving person to "ask John to resend" a photo of her deceased brother. AI progresses fast functionally, but emotional needs get ignored. Corner cases destroy reputations. 09 | Learn from ChatGPT's Win ChatGPT has 800M users not because of accuracy. People pay subscriptions because they feel less lonely. The emotional need - companionship for solo founders and remote workers - drives retention. Deep delight = personalization that improves over time and remembers context. 10 | Start Delight Early, Not Later Don't say "let me ship functionality first, add delight later." You're building brand perception from day one. Users forgive functional gaps if the experience delights. They won't forgive boring products that work. Engineer delight from the start. ---- Where to Find Nesrine Changuel * LinkedIn * Twitter/X * Product Delight Book ---- Related Content Podcasts: * How to Use Google’s Latest AI Tools * What it means to be Design-Led * If you only have 2 hrs, this is how to become an AI PM Newsletters: * How to Build AI Products Right * How to Land a $300K+ AI Product Manager Job * How to Become an AI Product Manager with No Experience ---- 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

    1h 20m
  5. NOV 4

    How to Land a $700K+ AI PM Job Using AI by Google PM Alex Rechevskiy

    Today’s Episode Alex Reachvky has helped hundreds of PMs land $700K+ AI jobs. The gap between $140K and $700K isn’t magic. It’s method. Today, he breaks down the exact AI-powered workflow to land an AI PM job, from resume creation to acing interviews. This is the playbook PMs are using right now to 10X their callbacks and land multiple offers. ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: Brought to you by Linear: Plan and build products like the best. ---- Key Takeaways 1. AI PM jobs pay 30-40% more than regular PM roles - Group PMs make $360K-$600K, CPOs make $2M+. In 2025, 20% of PM roles now mention AI (up from 2% in 2023). The market is exploding and compensation bands are wider than ever. 2. Your resume's top 3 lines are everything - Recruiters spend 7 seconds scanning for Impact, Scope, and Recognizability. Template: "[X years] PM at [Google] | [2B users] | [Scaled revenue 50% YoY to $3.5B]." Pack your biggest wins and recognizable brands here. 3. Create a "bullet vault" then customize in 5 minutes - Use AI to transform your raw career dump into structured bullets covering all PM skill bundles. Use this master resume to tailor for each role by extracting 3-5 non-generic must-haves from the JD. 4. Cold applications get 1% callbacks, outreach gets 10-15% - The math: 30-100 apps → 3-4 callbacks → 1 interview. For every role, find the hiring manager, recruiter, and senior PM. Use ContactOut for emails. Message formula: 1 intro + 3 bullets + 1 CTA under 150 words. 5. Follow up on days 2, 3, and 5 - People miss emails. Persistence wins jobs. If no email response, send LinkedIn connection request. The golden age of PM networking is here: send 30 connection requests daily, comment on posts for 10X more reach than posting. 6. Use Whisper to brain dump at 200 WPM - Answer 24 career questions by speaking instead of typing at 120 WPM. Cover: projects, impact, obstacles overcome, tools introduced, people mentored. This becomes your career vault for both resumes and behavioral interview stories. 7. Behavioral interviews follow Hook-Principles-Action-Results-Learnings - Build 10-15 stories covering leadership challenges, stakeholder conflicts, failed projects, launches. Practice progression: Written first → Spoken → Timed (under 3 minutes). Feed to AI for refinement and probing follow-ups. 8. Case interviews are evaluated on 6 dimensions - Structured Thinking, User Focus, Product Sense, Prioritization, Communication, Creativity. Prompt AI: "You're a FAANG interviewer. Ask me ONE question. Rate 1-5. Quote my weak phrases, explain why they failed, give better approach." 9. Only apply when 50%+ aligned with the role - Extract non-generic must-haves from the JD using AI. Ignore "team player" fluff. Focus on: specific tech infrastructure, growth levers, scale requirements. Rewrite top 3 lines and stack rank bullets to match. Don't let AI fabricate experience. 10. Build your target company list strategically - AI prompt: "Create 50-100 companies ranked by fit. Consider: size (public/late-stage/early-stage), interests, geography." Keep broad. More interviews = better negotiation leverage. Focus on roles posted in last 24 hours. Most PM jobs still in SF Bay/Seattle. ---- Where to Find Alex Rechevskiy * LinkedIn * Twitter/ X * Website ---- Related Content Podcasts: * Google AI PM Director drops an AI PM Masterclass * If you only have 2 hrs, this is how to become an AI PM * Complete Course: AI Product Management Newsletters: * How to Become an AI Product Manager with No Experience * How to Write a Killer AI Product Manager Resume * How to become an AI Product Manager ---- PS. 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

    1h 7m
  6. OCT 27

    Here's my brutally honest ranking of the top 70 AI PM Tools, with Google Product Leader Anshumani Ruddra

    Every PM is asking the same question: Which AI tools actually make me faster? There are hundreds of apps. Most are hype. Some are game-changers. Today, I sat down with Anshumanni Rudra - VP of Product at Hotstar, now Group Product Manager at Google leading all APAC payments - to rank 70+ AI tools tier-list style. We didn’t hold back. S-tier tools got crowned. D-tier tools got exposed. And we revealed the single best AI tool for product managers in 2025. Watch the full episode for a chance to win a 1-year free subscription to my newsletter. ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: * Miro: The innovation workspace * Vanta: Leading AI security & compliance platform * Testkube: Leading test orchestration platform * Kameleoon: Leading AI experimentation platform * Dovetail: abc ---- Key Takeaways 1. Claude Code is the absolute best AI tool for PMs - Anshumanni runs 6 terminal windows simultaneously doing different things on different parts of his directory. It understands your entire codebase and lets you go from idea to working code in minutes. 2. superwhisper is the S-tier dictation tool that has Anshumanni shouting debugging commands at his screen like Tony Stark. His typing speed has actually fallen since he started dictating everything, making typing feel obsolete. 3. Lindy.AI is the S-tier agent builder PMs actually want because you can prompt it with natural language instead of building flows. Create email responders, meeting prep assistants, and podcast-to-blog converters without touching code. 4. Replit is the ultimate AI prototyping champion that can plan and work for hours building complete applications with minimal guidance. Even before AI, Replit was a strong web-based IDE with deep developer understanding that shows. 5. Granola is the S-tier meeting tool that learns your style and auto-generates talking points based on previous conversations. Unlike Otter or Fireflies, it has intelligent context awareness like a personal assistant. 6. Perplexity gets C-tier as Anshumanni's usage has "gone down quite drastically" since the early days. AI mode in other tools now does what Perplexity used to do with deep search rabbit holes. 7. Cursor gets A-tier as the only IDE with the agent on the right side of the screen, which matters for how PMs think. Anshumanni's usage is "way higher" than other tools purely because of this UX choice. 8. Bolt is Anshumanni's pick for best AI prototyping in A-tier with the best structure from the start. It thinks about both front-end and back-end by default, letting you go from prompt to deployed app in minutes. 9. GitHub Copilot is the first D-tier tool because it's "just not as good" - very ChatGPT focused, not enough Claude. Developers are leaving for Cursor and Claude Code for a reason. 10. Don't chase shiny tools - analyze how you spend your week, find what takes the most time, then find the specific tool that solves that problem. Pick tools for your workflow, experiment, then measure if they improve productivity. --- Related Content Podcasts: * How to Use Google’s Latest AI Tools | Jaclyn Konzelmann Episode * How to PM Production Changes with Devin | Sahil Lavingia Episode * Complete Course: AI Product Management Newsletters: * How to Become an AI Product Manager with No Experience * How to Write a Killer AI Product Manager Resume ---- Want my coaching to your dream AI PM job? Apply to grab one of the remaining 17 seats in my cohort: P.S.1 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. P.S.2 I’d really appreciate ratings + reviews on podcast platforms as well. ---- 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

    1h 6m
  7. OCT 22

    Google AI PM Director drops an AI PM Masterclass + Tutorial on Google's AI Tools

    I had a precious hour of a Google AI PM Director’s time. So, I extracted all the best insights about AI PM for you: How to use Google’s latest AI tools like an insider How to build great AI products How to become an AI PM And I didn’t hold back on the tough questions. And Jaclyn Konzelmann dropped an absolute masterclass. You don’t want to miss her advice on AI PM resumes... ---- Check out the conversation on Apple, Spotify and YouTube. Brought to you by: Vanta. Pendo. Linear Generic. Jira Product Discovery. * Vanta: Leading AI security & compliance platform * Pendo: * Linear: Plan and build products like the best. * Jira Product Discovery: Plan with purpose, ship with confidence * LandPMJob: Land a PM Job with Aakash Gupta ---- Key Takeaways 1. Nano Banana Understands World Models: Ask it to show Toronto in winter → adds snow. San Francisco in winter → no snow. The model knows SF doesn't get snow. This world knowledge unlocks creative workflows beyond basic image generation. 2. The Colorization Workflow: Use Gemini Pro to refine prompts → Focus on vibrant colors, lighting transformation, hyperrealistic detail, modern camera optics → Add negative prompts for failed iterations. "Keep playing around with things until you get it just right." 3. Chain Tools for Advanced Workflows: Photo → Imagen (reimagine as drone show) → Veo (animate the drones flying) → Result: Your pet as a living drone show with tail wagging. Access through AI Studio, Gemini app, or Mixboard. 4. Build AI Apps Without Code Using Opal: Describe what you want in natural language → Opal writes the prompt chains → Customize models and outputs → Share publicly. Examples: Resume critique tool, nature collage generator, custom storybook maker. 5. The Anatomy of an Agent Framework: Every AI agent has 3 components - Models (text/image/video capabilities), Tools (APIs, search, UI actions), Memory (what to remember, personalization strategy). Define these before writing code or PRDs. 6. The User Interaction Spectrum: Every AI product falls on "Do it FOR me" (Deep Research, Audio overviews that run and return) vs "Do it WITH me" (vibe coding, interactive experiences). 7. The Inverted Triangle: Think Big, Ship Fast: Think REALLY big → Use 3 levers to ship: Scope (ruthless MVP cuts), Positioning (beta/experiment labels), Audience (internal → trusted testers → public). Don't let process slow the vision. 8. Ask The Paradigm Shift Question: Are you building a faster horse or a car? Process-improving a workflow or creating an entirely new one? "The real value is the unlock on what's the new way things will get done." 9. The Future-Proofing Question: What happens when models get better? Real example: Mixboard threw out months of image editing work when Nano Banana launched with natural language editing. 10. Google's 6 Hiring Criteria for AI PMs: Exceptional product taste, visionary leadership (think 5 steps ahead), clarity in chaos, compelling product storytelling, full-spectrum execution (blended role profiles), deep AI intuition. Keep resume to 1 page, show actual work, design with personality. 11. The Side Project Strategy: Run 10 side projects simultaneously. Not to launch 10 products, but to think differently and connect dots. 12. Don't Get Precious About Ideas: Any single idea can get commoditized in weeks with AI. The skill isn't having one great idea—it's consistently generating good ideas. ---- Where to Find Jaclyn Konzelmann * X (Twitter) * Linkedin * Substack ---- Related Content Podcasts: * How to Become, and Succeed as, an AI PM | The Marily Nika Episode * If you only have 2 hrs, this is how to become an AI PM * Complete Course: AI Product Management Newsletters: * How to Become an AI Product Manager with No Experience * How to Write a Killer AI Product Manager Resume * How to become an AI Product Manager ---- 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

    32 min
  8. OCT 19

    How to PM Production Changes with Devin: Tutorial From Gumroad CEO, Sahil Lavingia

    Today’s Episode Sam Altman said one person will build a billion-dollar company. Sahil’s already halfway there with just one employee. Most PMs are still running 6-week sprints. Writing 10-page PRDs. Coordinating between designers and engineers. Sahil ships features from Slack to production in 30 minutes. Here’s the exact AI workflow powering Gumroad’s $10M ARR: If AI gets it wrong, your communication was unclear. ---- Check out the conversation on Apple, Spotify, and YouTube. Brought to you by: * Vanta: Leading AI security & compliance platform * Testkube: Leading test orchestration platform * Kameleoon: Leading AI experimentation platform * The AI PM Certificate: Get $550 off with ‘AAKASH550C7 ---- Key Takeaways 1. Three-Tier AI Workflow: Small tasks (Slack → Devon → Production), Medium tasks (GitHub issue → GPT for PRD → V0 prototype → Ship), Large tasks (4-line brief → V0/Codex → Vercel → Cursor → Production). Match the tool to task complexity. 2. From Slack to Production in Minutes: Customer reports feature request in Slack with screenshots. Type "Devon, address this." Devon reads thread, writes code, opens PR, ships to production. "Weeks of coordination at big companies. We just decide and Devon addresses it." 3. The PRD Is Dying: Stop writing 20-page PRDs for AI. Write 4 lines. Let AI prototype. See what it misunderstands. That reveals what you forgot to specify. "The PRD is only as dense as what cannot be inferred naturally." 4. Use AI to Refine Your Thinking: Paste brief into V0, GPT, and Codex. Each builds something different. Their mistakes show your communication gaps. It's a fake conversation with engineers that makes your real spec better. 5. Architecture Is the New Competitive Advantage: Gumroad is deleting 5,425 lines of CSS to migrate to Tailwind (181 lines). Global CSS means every change affects 300 files. Tailwind means one file change. "Devon made a one-file change. With CSS, you're testing 300 files." 6. Tailwind Is Built for AI: Design system in 181 lines: fonts, colors, padding, borders, shadows. AI never guesses. Industry standard with massive training data. "It's like hiring an engineer who already understands 2x4s. AI knows exactly what to do." 7. AI Is 99th Percentile at Most Things: Defer design and code decisions to AI. If it's important, put it in the spec. If not in the spec, let AI decide. "The decisions AI makes are pretty good. That's why we can move super fast." 8. Work on 5 Things Simultaneously: AI is slow. Solution? Run 4-5 AI sessions at once. While V0 builds, check email. While Codex compiles, answer Slack. "It's like having an army of assistants. I don't wait—I fill the dead time." 9. The Dictatorship Advantage: Big companies need buy-in from PMs, designers, engineers, managers. Gumroad: Sahil → Devon → Production. "The hard part at big companies is aligning people to get behind a decision. It has nothing to do with actually shipping." 10. Perfect the Business, Don't Scale It: $10M ARR, $7-8M EBITDA, $2M dividends last year, 1 employee, 35,000 creators. Goal: $10M EBITDA, then perfect the software. "I just want to work on software, make it better, have people use it, be proud of the work we do." ---- Where to Find Sahil Lavingia * Linkedin * X (Twitter) * Gumroad ---- Related Content Podcasts: * We Built an AI Employee in 62 mins * Conversation with the CEO and Founder of Bolt * This $20M AI Founder Is Challenging Elon and Sam Altman | Roy Lee, Cluely Newsletters: * How to Build AI Products Right * Ultimate Guide to AI Prototyping Tools * The Fintech Super App Wars ---- 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

    28 min
4.6
out of 5
33 Ratings

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The latest insights into how great products grow, how to be a better PM or product leader, and how to get a PM job. www.news.aakashg.com

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