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EP 146 - AI Tools: Base44 with Yaron Lavie
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:
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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!
- LinkedIn: https://il.linkedin.com/in/yaronlavie
- 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
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
View all episodes
By Matt Green & Moshe Mikanovsky
5
66 ratings
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:
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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!
- LinkedIn: https://il.linkedin.com/in/yaronlavie
- 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
Please leave us a review and feedback ⭐️⭐️⭐️⭐️⭐️
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