“**Lennys Podcast** commented on Elena Verna’s work as a high-impact individual contributor at Lovable, where she uses Lovable and AI to take pricing and packaging from research and analysis through production deployment.”

#8 ▶️ The rise of HI-ICs | Elena Verna (Lovable) Lennys Podcast **Lennys Podcast** commented on Elena Verna’s work as a high-impact individual contributor at Lovable, where she uses Lovable and AI to take pricing and packaging from research and analysis through production deployment. Verna reported that 42 of 51 surveyed people managers wanted to return to an IC role; she retained her pay grade after becoming a high-impact IC and has run experiments that cost Lovable many millions of dollars.

“Claire Vo argues leaders must ditch “I’m blocked” and instead use AI tools like Claude Code, Devin, Lovable, and ChatPRD to prototype, design, and spec in minutes.”

#18 in Claire Vo argues leaders must ditch “I’m blocked” and instead use AI tools like Claude Code, Devin, Lovable, and ChatPRD to prototype, design, and spec in minutes.

“He sees Lovable as the go-to UX designer for polished prototypes and Opus 4.”

in Dharmesh Shah Dharmesh Shah finds GPT 5.4 excels as both PM (reasoning, long-range execution) and back-end architect (deep thinking, precise execution). He sees Lovable as the go-to UX designer for polished prototypes and Opus 4.

“Santiago showcases Orchids.app, an AI-powered app builder rivaling Lovable and Cursor that supports any stack, BYO API keys, native Supabase & Stripe integrations, and pay-only-for-model-cost pricing.”

#12 𝕏 Santiago showcases Orchids.app, an AI-powered app builder rivaling Lovable and Cursor that supports any stack, BYO API keys, native Supabase & Stripe integrations, and pay-only-for-model-cost pricing.

“Lazar Jovanovic uses Lovable.app, ChatGPT, Cloud Code and OpenAI Codex to build Lovable’s Shopify integration (including user-remix templates and a public merch store) and internal feature-adoption tools by running five parallel prototype prompts and steering AI through markdown PRDs and agent rules.”

#13 ▶️ How AI created a new six-figure job for non-coders | Lazar Jovanovic (Professional Vibe Coder) Lennys Podcast Lazar Jovanovic uses Lovable.app, ChatGPT, Cloud Code and OpenAI Codex to build Lovable’s Shopify integration (including user-remix templates and a public merch store) and internal feature-adoption tools by running five parallel prototype prompts and steering AI through markdown PRDs and agent rules. He launches five parallel prototype builds for each project—voice “brain dump,” refined typed prompt, design mock from Mobbin or Dribbble, code-snippet template upload, and a custom template—before selecting one to refine. He allocates approximately 80% of his time to AI planning in ChatGPT/Lovable’s chat mode and only 20% to executing code generation. His four-step “4x4” debugging framework uses Lovable’s “Try to fix” button, inserts console.log statements, diagnoses with OpenAI Codex or Claude via GitHub export, and reverts to an earlier version to improve AI prompts.

“Paweł Huryn built a production-grade, multi-tenant edtech SaaS using Lovable and Supabase — without custom code — to replace tools costing hundreds per month.”

From LinkedIn • Deeper Insights Product Management Insights & Strategies Marc Baselga challenges the default pitch of “time savings” for AI products, arguing it’s merely the entry fee customers expect. Instead, he recommends the REAL framework — Revenue (how AI drives top-line growth), Expense (efficiency that unlocks capacity), Avoidance (mitigating risk or compliance costs) and Lift (reducing friction for faster adoption). Running your value proposition through REAL can reveal differentiators beyond hours saved. Read his post . Tal Raviv spotlights a demo where Peter Yang turned on the Granola agent mid-conversation to feed live meeting context into Claude, effectively making the AI “multiplayer.” This real-time feedback loop shows how PMs can continuously surface and scope user context for AI, improving collaboration and speeding iteration. See the clip . AI Industry Developments & News Guillermo Rauch highlights an unprecedented AI acceleration: GPT & Aristotle autonomously solving an Erdős problem, Linus Torvalds endorsing “vibe coding” with AI for non-kernel work, and DHH revisiting his stance on AI coding. These milestones signal that AI is reshaping expert domains at lightning speed. Read his insights . Paweł Huryn built a production-grade, multi-tenant edtech SaaS using Lovable and Supabase — without custom code — to replace tools costing hundreds per month. Now serving 10+ organizations and 5,000+ students, this case exemplifies how agentic coding (where AI actively builds) is collapsing traditional build-vs-buy economics and setting the stage for 2026’s AI-driven platforms. Explore his case study .

“Paweł Huryn built a production-grade, multi-tenant SaaS platform in Lovable without writing code, replacing legacy tools and serving over 5,000 students.”

Paweł Huryn offers a free YouTube course and an “Ultimate Guide to n8n for PMs” on building AI agents without code. He covers multi-agent workflows, intent management, 1,000+ integrations, best practices, common mistakes, and cost-saving strategies—equipping PMs to prototype and automate complex tasks. Explore the n8n deep dive . Found this valuable? Share it with another PM - they can subscribe at genaipm.com Unsubscribe • Switch to Weekly