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Product for Product Management

Product for Product Management

Written by: Matt Green & Moshe Mikanovsky
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About this listen

 Product for Product is a show hosted by Matt Green and Moshe Mikanovsky aimed at helping listeners navigate the growing depth of product management tools while also providing our insights into the categories that make up the PM role. We will take listeners with us on a journey of discovery through areas of product analytics, road mapping, productivity and many others. If you want to keep up with the latest in product management come along for the ride!

Connect with us on LinkedIn:
https://linkedin.com/in/mattgreenproduct
https://linkedin.com/in/mikanovsky

Connect with us on Youtube:
https://www.youtube.com/@productforproductCopyright Matt Green & Moshe Mikanovsky Economics
Episodes
  • EP 146 - AI Tools: Base44 with Yaron Lavie

    EP 146 - AI Tools: Base44 with Yaron Lavie
    Jan 21 2026
    We’re excited to continue our AI Tools series with Yaron Lavie, a veteran product leader with over 25 years of experience in FinTech, InsurTech, and now retail tech at Nexite, where he helps fashion retailers unlock unique in-store data.
    In this episode, Yaron joins Matt and Moshe to share how he used Base44, an AI-powered, full‑stack vibe coding platform, to take a completely new product idea from concept to a deployed prototype without touching his R&D team.
    Yaron walks through why traditional approaches like Figma mockups and static visuals weren’t enough for the kind of validation he needed, and how he experimented with tools like Gemini, Claude, and ChatGPT before landing on Base44 for an end‑to‑end, fully hosted solution.
    He explains how Base44’s conversational, chat-based builder let him model user personas, flows, and entities, then iteratively refine an interactive analytics dashboard with real (anonymized) data, all inside a time‑boxed, low‑risk experiment that still respected security constraints.

    Join Matt, Moshe, and Yaron as they explore:
    • Why Yaron needed to validate a new product idea without pulling scarce R&D resources off other priorities

    • How he moved from static mockups to interactive prototypes with real data, and where Gemini helped and fell short

    • What made Base44 stand out versus other vibe coding tools like Lovable: full-stack, hosted, and truly end-to-end

    • The importance of “context engineering” over simple prompt engineering when building with LLM-based builders

    • Using Base44’s discussion mode, live preview, and QA test generation to shape the product before committing to code

    • Real-world limits: hitting a ceiling on UX depth, inflated code, and friction with design systems and engineering standards

    • How he transitioned from a Base44 prototype to a ground-up rebuild with the core dev team, using the prototype to generate user stories

    • Practical pros and cons: integrations, multi-currency support, database control, and when full-stack vibe coding is “good enough”

    • Where Yaron sees vibe coding going next, and how PMs can use it responsibly for experimentation and usability testing

    • And much more!

    Want to connect with Yaron or learn more?
    • LinkedIn: https://il.linkedin.com/in/yaronlavie

    You can also connect with us and find more episodes:
    • Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast

    • Matt Green: https://www.linkedin.com/in/mattgreenproduct/

    • Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky

    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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    55 mins
  • EP 145 - AI Tools: N8N with Stav Charkham

    EP 145 - AI Tools: N8N with Stav Charkham
    Jan 7 2026
    We’re excited to welcome Stav Charkham, Business Product Builder at Voyantis, former Product Manager and founder in EdTech, and seasoned automation expert, for a standout episode on using n8n and agentic AI to empower product managers and teams.Stav takes us through his journey from building products with no-code tools like Bubble and iPaaS tools like Make, to his current work scaling business workflows with AI, n8n, and internal systems at Voyantis. Learn how Stav helps teams go from research to business value in days, sometimes even hours, by combining open-source automation, hands-on user insight, and a bias for action.Join Matt, Moshe, and Stav as they explore:

    - What makes n8n different: open source, secure, and ready for power users, or anyone who wants to build without a developer


    - The basics of agentic AI: moving beyond IF/THEN logic, with “agents” that make real decisions using LLMs, memory, and a toolset


    - Practical use cases: how to save hours on manual work, analyze massive amounts of meeting data, and surface business opportunities using AI-powered automations


    - How Product Managers can independently build tools for their needs, deploying automations without writing code


    - n8n’s interface and workflow, and where technical skill might still required


    - Open source advantages and trade-offs: privacy, flexibility, cost, and the challenge of building and maintaining integrations


    - Why automation costs matter, and Stav’s real-world tips for measuring and optimizing LLM call expenses


    - Agentic vs. traditional workflows: when to use an AI agent, and when it’s not worth the extra cost or unpredictability


    - Cautionary tales and improvement wishes for n8n: integration gaps, edge cases, technical hurdles, and the ongoing quest for less technical UX


    - Kadabra, another tool Stav loves, combining automation frameworks with front-end flexibility


    - And much more!


    Want to connect with Stav or learn more?

    - LinkedIn:

    https://www.linkedin.com/in/st...
    You can also connect with us and find more episodes:

    - Product for Product Podcast:

    http://linkedin.com/company/pr...
    - Matt Green:

    https://www.linkedin.com/in/ma...
    - Moshe Mikanovsky:

    http://www.linkedin.com/in/mik...
    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
    Show More Show Less
    56 mins
  • EP 144 - AI Tools: Lovable with Elena Levi

    EP 144 - AI Tools: Lovable with Elena Levi
    Dec 24 2025
    We’re excited to bring on Elena Levi, Director of Product Management at Payoneer, data analytics veteran, and passionate advocate for product-driven teams, for a special episode exploring what it’s really like to use Lovable and other AI-powered vibe coding tools in product development.

    Elena shares insights from 15 years in data analytics and product, with the journey from data analyst to product leadership fueling her curiosity about how AI can reshape prototyping, design, and collaboration. Drawing from hands-on experience building predictive analytics solutions, Elena reveals why she chose Lovable for fast prototyping, user testing, product sense interviews, and collaborating with both developers and designers.

    Join Matt, Moshe, and Elena as they explore:
    • The strengths and limitations of Lovable for prototyping: rapid iteration, easy sharing, changing flows on the fly, user testing, and developer handoff

    • When vibe coding works, and where you still need engineering and design expertise

    • The realities of code generation, versioning, Supabase integration, and why Lovable stood out from the competition at the time she chose it

    • Using Lovable for product sense interviews

    • Practical tips: breaking tasks into smaller prompts, saving tokens with up-front documents, and why the first prompt is the most important

    • The trade-offs of using AI tools for MVPs, B2B vs. B2C products, and where privacy and maintainability concerns come in

    • Responses from engineers and designers, what these tools mean for their work, learning curves, and whether they help or hinder junior team members

    • Expectations vs. reality: how close AI tools get you to the finish line, and why “the last mile” is the toughest

    • Conundrums, gotchas, frustrations, and how to keep flexibility in your workflow

    • Why do PMs must always ask “Why?”, and why AI alone can't replace a critical data mindset

    • And much more!

    Want to connect with Elena or learn more?
    • LinkedIn: https://www.linkedin.com/in/elena-levi-data

    You can also connect with us and find more episodes:
    • Product for Product Podcast: http://linkedin.com/company/product-for-product-podcast

    • Matt Green: https://www.linkedin.com/in/mattgreenproduct

    • Moshe Mikanovsky: http://www.linkedin.com/in/mikanovsky

    Note: Any views mentioned in the podcast are the sole views of our hosts and guests, and do not represent the products mentioned in any way.

    Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
    Show More Show Less
    52 mins
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