The new AI growth playbook for 2026 | How Lovable hit $200M ARR in one year

The new AI growth playbook for 2026 | How Lovable hit $200M ARR in one year

Growth Strategies at Lovable

Overview of Lovable's Growth

  • Lovable is on track to become one of the fastest-growing companies in history, currently achieving over $200 million in ARR with a team of 100 people.
  • The speaker notes that much of their previous growth playbook has been discarded, as only 30-40% of past experiences apply to the current environment.

Innovation Over Optimization

  • The focus has shifted from optimization (5%) to innovation (95%) in growth strategies, emphasizing the need for new growth loops rather than merely optimizing existing solutions.
  • A key strategy involves building in public and leveraging employee and founder social media engagement to enhance visibility and reach.

Removing Barriers to Entry

  • One significant tactic includes giving away products freely to encourage usage; this approach helps facilitate word-of-mouth marketing by allowing users to engage deeply without initial costs.
  • Elena Vera discusses how creating exceptional user experiences is crucial for generating organic referrals and buzz around the product.

Insights from Elena Vera

Changing Dynamics in AI Companies

  • The conversation highlights how traditional concepts like product-market fit are evolving; companies must now reassess their fit every three months due to rapid market changes.
  • Elena shares insights into Lovable's unique internal operations, hiring practices, and approaches toward developing minimal lovable products.

Tactical Advice for Growth

  • Listeners are encouraged to subscribe for additional resources, including premium products that can aid in enhancing their own business strategies.

Sponsorship Messages

Work OS Introduction

  • Work OS is introduced as a solution for software developers facing integration challenges with enterprise features, likened to "Stripe for enterprise features."

Vzero Overview

  • Vzero is presented as a web development assistant designed for professionals across various technical backgrounds, enabling faster prototyping and collaboration without extensive coding knowledge.

Elena's Return

Celebrating Milestones

  • Elena expresses gratitude for returning as a guest on the podcast multiple times, indicating her ongoing success and contributions within the growth space at Lovable.

Growth and Success of Lovable

Overview of Lovable's Growth Metrics

  • Lovable launched officially in the third week of November 2024, marking just over a year since its inception.
  • The company achieved over $200 million in annual recurring revenue (ARR) within its first year, a remarkable feat compared to industry standards.
  • The growth trajectory is accelerating; it took only four months to double from $100 million to $200 million ARR after reaching the first milestone in July.
  • Lovable has attracted over 8 million users, indicating strong market interest and engagement with the platform.
  • While achieving such rapid growth is exceptional, it's emphasized that this should not be seen as a standard benchmark for all startups.

Understanding Market Dynamics and User Base

  • Founders are cautioned against using Lovable's success as a universal benchmark due to varying market conditions and business models.
  • Many companies in related fields may grow quickly but do not have recurring revenue models like Lovable’s, which makes direct comparisons misleading.
  • The speaker highlights the importance of understanding the context behind these impressive numbers, including market trends and user demographics contributing to revenue.

Diverse Use Cases Driving Revenue

  • A significant portion of revenue comes from nontechnical founders who can create apps without coding skills through Lovable's platform.
  • Users include both entrepreneurs building their own products and employees creating internal tools or prototypes within companies using Lovable.
  • The software is currently in a "capability stage," where users explore what they can build, leading to increased engagement as features evolve regularly.

Building Confidence in Business Durability

  • The speaker reassures skeptics by mentioning tangible evidence of financial success through Stripe receipts confirming real deposits into their bank account.
  • There’s an ongoing hype around software capabilities that keeps users returning to see new features and improvements available on the platform.

This structured overview captures key insights about Lovable's rapid growth, diverse user base, and market dynamics while providing timestamps for easy reference.

Proposal Story and Revenue Insights

Creative Use of Lovable

  • A user created a unique proposal game on Lovable, showcasing the platform's potential for creativity and engagement.
  • The revenue model is closely tied to user activation moments, which drive both conversion and retention rates.

Understanding Retention Metrics

  • Retention is analyzed in two ways: subscriber retention (renewal rates of paying subscribers) and net dollar retention (NDR), crucial for investor confidence.
  • NDR above 100% is considered a "superpower" for achieving higher company valuations; it indicates strong customer loyalty and expansion opportunities.

Engagement vs. Paid Retention

  • While paid retention metrics are important, the focus currently lies on engagement retention as a leading indicator of future paid retention success.
  • The company’s current performance aligns with benchmarks from other B2B SaaS products, indicating healthy growth despite not being industry leaders in paid retention.

Growth Strategies and Market Positioning

Non-Traditional Revenue Optimization

  • The company does not prioritize revenue optimization; instead, it focuses on increasing user acquisition to capture market share.
  • Discussions revolve around providing more free products to attract users rather than maximizing revenue per user at this stage.

Learning from Growth Experiences

  • Previous experiences provided confidence in applying established growth patterns; however, Lovable presents unique challenges that defy traditional frameworks.
  • The rapid growth of Lovable suggests an extraordinary market demand that differs from typical product category development timelines.

New Category Dynamics

  • Entering a new category often takes years for widespread adoption; however, Lovable has quickly resonated with its target audience due to timely market fit.
  • The company's ability to navigate fast-moving waters highlights its strategic positioning within an emerging market landscape.

Growth Strategies and Innovations in Business

The Need for Control in Growth

  • Emphasizes the importance of capturing growth rather than generating it, acknowledging the challenges of not being in control of growth dynamics.
  • Discusses the necessity of ensuring all operational components are functioning smoothly to avoid hitting obstacles during rapid growth.

Unlearning Old Patterns

  • Reflects on the need to unlearn 60-70% of previous knowledge from years in growth, as many traditional strategies no longer apply.
  • Identifies that while some marketing frameworks remain relevant, there is a pressing need for innovation and new growth loops instead of mere optimization.

Focus on Innovation Over Optimization

  • Critiques the common practice of optimizing existing user journeys, suggesting that this approach is often unproductive.
  • Highlights that the current market demands multiple initiatives to capture fleeting opportunities due to intense competition.

Shifting Priorities in Growth Teams

  • Shares a personal shift from spending 95% on innovation versus only 5% on optimization compared to past roles.
  • Notes that launching new features and products has become a primary lever for driving growth rather than just improving usability or reducing friction.

Integration and Activation Efforts

  • Describes recent initiatives like integrating with Shopify to enhance e-commerce capabilities, showcasing proactive feature development by the growth team.
  • Mentions a shift towards deeper involvement in activation processes, traditionally managed by core teams, indicating an evolving role for growth teams.

Collaborative Focus on Activation

  • Acknowledges that activation efforts are now more integrated into company DNA, alleviating pressure from individual roles within the growth team.
  • Conveys confidence in collaborative efforts across teams focusing on achieving user "aha" moments without solely relying on microoptimizations.

Understanding the Evolution of Agent Technology

The Importance of Intent Understanding

  • The focus on improving agent technology emphasizes understanding user intent, regardless of whether it's a first-generation or advanced version. This improvement enhances the entire lifecycle of the product.

Prioritizing User Experience

  • There is a strong emphasis on enhancing the initial user experience, which is now considered core product functionality. Teams are shifting from building deeper features to refining this activation experience.

Building in Public and Transparency

  • Founders are increasingly sharing updates about new features and growth metrics, fostering transparency and engagement with users. This approach connects deeply with product development.

Daily Shipping Strategy

  • A key strategy involves "building in public," where smaller companies can maintain narrative control and trust within their teams, allowing for rapid communication of changes to the market.

Maintaining Market Noise

  • Regular shipping (daily or multiple times per day) creates ongoing market noise that keeps users engaged. This strategy not only attracts new users but also re-engages existing ones by showcasing continuous improvements.

Retention Strategies Through Product Updates

Velocity as a Core Value

  • Companies like Mirage emphasize shipping marketable features weekly, highlighting that maintaining high shipping velocity is crucial for growth and engagement.

Redefining Roles in Marketing and Development

  • With lean product organizations, engineers take on marketing responsibilities to announce their own work. This shift requires redefining roles to support rapid feature releases without needing large marketing teams.

Changing Dynamics in Marketing Involvement

  • Marketing's role is evolving; it must adapt quickly to frequent product changes while still focusing on larger narratives. Shorter cycles mean that smaller updates often go unsupported by traditional marketing efforts.

Challenges with Rapid Changes

  • As products evolve rapidly, marketing struggles to keep up with messaging consistency due to shorter cycles for positioning and campaign development. Smaller changes may require direct involvement from engineering teams for effective communication.

Marketing Evolution: The Shift from SEO to Social

Changing Landscape of Marketing Strategies

  • The speaker notes a significant change in marketing channels, emphasizing that many are not acknowledging these shifts and continue to follow outdated strategies.
  • Five years ago, organic marketing was primarily associated with SEO; however, the current focus has shifted towards social media platforms as the main avenue for organic strategy.
  • Organic marketing now heavily relies on user-generated content and word-of-mouth, moving away from traditional search-focused methods, especially in B2B contexts.

Importance of Social Media Platforms

  • The speaker identifies Twitter (X), LinkedIn, YouTube, TikTok, and Instagram as key platforms for founders and employees to engage with audiences effectively.
  • Authenticity is crucial; companies must showcase personality rather than relying solely on AI-generated content. This human touch helps build connections with potential customers.

Building Brand Loyalty Through Authentic Engagement

  • Vulnerability and authenticity are essential for establishing trust; consumers want to connect with the people behind a brand rather than just its products.
  • Creating a product that inspires customers to share their experiences can lead to powerful word-of-mouth marketing. Customers should feel empowered by their purchases.

Leveraging Influencer Marketing

  • The CEO's active presence on social media is highlighted as an effective way to share company growth stories and lessons learned.
  • Establishing a strong word-of-mouth loop requires delivering exceptional product experiences that exceed customer expectations.

Integrating Brand Values into Product Development

  • The company's culture emphasizes creating "lovable" products; this internal mentality drives quality assurance and customer satisfaction.
  • Unique interactions within the product help convey brand values without needing a dedicated brand marketing team. Influencer marketing plays a significant role in showcasing these unique features through engaging content.

Growth Strategies and Brand Experience

The Role of Lovability in Growth

  • A head of growth traditionally focused on data metrics is now considering how to make products more lovable, emphasizing the importance of delight in user experience.
  • Elena, a brand strategist, highlights that brand perception is crucial for growth, as it influences every interaction with customers.

Importance of Product Quality and Timing

  • The rapid growth of Lovable is attributed to its product being highly desirable, leading to effective word-of-mouth marketing.
  • To stand out in a crowded market, companies must prioritize creating human-centered experiences rather than just focusing on functionality.

Evolving Software Expectations

  • As software development costs decrease, there’s an opportunity to invest in emotional aspects of software design rather than solely utility.
  • Personal anecdotes illustrate the joy derived from engaging with well-designed software compared to frustrating experiences with poorly designed tools.

Design as a Core Component

  • The increasing ease of building software means that exceptional user experience and design have become essential differentiators for success.
  • Startups should prioritize hiring designers early on to ensure that every interaction reflects the brand's values and mission.

Maintaining Quality Amid Rapid Development

  • Launching new features can drive growth; however, maintaining quality requires careful consideration during the development process.
  • Hiring passionate individuals who view their work as more than just a paycheck fosters a culture focused on excellence and innovation at Lovable.

Cultivating Passionate Talent

  • It’s vital to recruit individuals who are deeply passionate about their roles; this passion translates into higher quality work and commitment.
  • A culture driven by enthusiasm encourages employees to continuously seek improvements for customer satisfaction rather than merely fulfilling job requirements.

Empowerment Through Autonomy

  • High agency and autonomy among team members allow them to take ownership of projects without excessive supervision, fostering innovation.
  • Employees are encouraged to experiment within their roles; failure is seen as part of the learning process rather than something negative.

Recruitment Challenges and Strategies

  • Recruiting top talent remains challenging but essential; understanding what makes Lovable attractive helps in attracting skilled professionals.

How to Build a Lovable Product and Recruit Effectively

The Importance of a Lovable Product

  • Creating hype around a product significantly aids in recruitment, as potential employees express interest in joining the company due to its appealing offerings.
  • Conducting trial work for candidates allows companies to assess their fit within the team, providing both parties with insights into the working dynamic.
  • Rapid changes within the company can be overwhelming; returning from vacation can feel like starting over due to the fast-paced environment.

Company Culture and Recruitment Strategy

  • Acknowledging that not everyone thrives in a chaotic environment is crucial; different personalities require different cultural fits for optimal performance.
  • The focus is on hiring individuals who can create clarity amidst chaos rather than those who seek it, which is essential for success in a fast-moving company.

Growth Strategies for Startups

  • Building something that is not only lovable but also market-relevant is key; products must resonate with users and have financial backing to succeed.
  • The concept of "minimum lovable product" replaces "minimum viable product," emphasizing emotional connection over mere functionality.

Leveraging AI Tools for Development

  • AI tools facilitate rapid prototyping and user feedback cycles, allowing startups to move quickly from idea conception to functional product testing.
  • The development lifecycle has been streamlined; traditional lengthy processes are replaced by quicker iterations thanks to advanced technology.

Innovative Roles in Modern Workplaces

  • The emergence of roles like "vibe coder" reflects changing job descriptions across various fields, integrating new skills into design and management positions.
  • A vibe coder's role involves blending technical knowledge with creative project management, showcasing an evolution in workplace skill sets.

Shopify Templates and the Role of Vibe Coding

The Impact of Expert Guidance

  • A Shopify expert has created numerous templates that significantly aid the team, showcasing their expertise in pushing the boundaries of what's possible with "vibe coding."
  • The speaker reflects on how this role is unique and suggests it may become more common in non-vibe coding companies, indicating a shift in hiring practices.

Learning and Scaling with Vibe Coding

  • The process of vibe coding requires iterations and projects to fully grasp its potential, emphasizing the learning curve involved.
  • Once familiar with vibe coding, leveraging an expert accelerates project velocity, akin to having an engineer on the team.

The Role of Community in Growth

Key Growth Strategies for Lovable

  • To foster growth, Lovable focuses on creating remarkable products that generate excitement and sharing among users.
  • Community plays a crucial role by facilitating user interaction and enhancing word-of-mouth marketing; it also aids retention strategies.

Building a Thriving Community

  • Lovable's community operates on Discord, featuring hundreds of thousands of members who actively engage with each other.
  • Community managers ensure questions are answered promptly while fostering an ambassador program to enhance engagement.

Giving Away Products: A Counterintuitive Strategy

The Value of Free Offerings

  • Offering AI products for free can seem counterproductive due to associated costs but is essential for removing barriers to entry.
  • New AI capabilities require users to experience them without financial constraints; initial "wow moments" are critical for user engagement.

Growth Strategies in AI Companies

The Importance of Giving Away Credits

  • The speaker discusses the addictive nature of building and how giving away credits at events and hackathons can drive engagement. They emphasize that these credits are treated as marketing costs rather than a burden on margins.
  • The strategy is framed as a "growth secret sauce," where the goal is to impress users so they share their experiences, thus attracting more participants to try the product.

Overcoming Monetization Friction

  • A key argument is made about removing monetization friction; if potential users don't understand the value or feel hesitant to invest, they won't engage with the product.
  • The speaker highlights that many AI companies struggle with low profit margins (around 40%), which necessitates a shift in perspective regarding costs associated with AI offerings.

User Engagement Through Hackathons

  • Users organizing hackathons are seen as valuable marketers for the company. By providing free credits, Lovable encourages grassroots promotion within organizations.
  • This approach empowers users to showcase the product's capabilities, creating organic growth opportunities through user-led initiatives.

Shifting Marketing Costs

  • The discussion reveals an unconventional growth strategy: giving products away freely can be essential in competitive markets where differentiation is challenging.
  • It’s noted that substantial venture capital funding is often necessary due to high foundational model costs, but Lovable manages its expenses effectively by focusing on product development over traditional marketing methods.

Efficient Spending and Growth Metrics

  • Lovable has achieved significant revenue milestones ($200 million AR), while maintaining a lean workforce (100 employees), indicating efficient operational management despite rapid growth.
  • The speaker clarifies that most of their growth does not stem from paid marketing but rather from organic interest generated through user engagement and word-of-mouth strategies.
  • By avoiding large sales teams and extensive paid advertising, Lovable reallocates resources towards enhancing their product offering instead of competing for visibility in saturated ad spaces.

This structured approach allows for clear insights into innovative strategies employed by AI companies like Lovable, emphasizing user engagement and cost-effective marketing practices.

Product-Led Growth and Evolving Market Dynamics

The Concept of Product-Led Growth

  • The discussion highlights the effectiveness of product-led growth, where companies generate significant revenue without heavy reliance on salespeople or paid advertising.
  • By distributing products for free to agents within their ecosystem, businesses can leverage these agents for broader awareness and distribution.

Consumer Empowerment in Today's Market

  • Consumers currently enjoy a wealth of options as many companies offer products for free, shifting power dynamics in favor of consumers.
  • With an almost infinite supply of software solutions available, consumer demand has become more selective; the best offerings will prevail.

Financial Sustainability Beyond VC Funding

  • It's emphasized that current business models are generating real revenue rather than relying solely on venture capital (VC) funding to sustain operations.
  • VC funding is primarily aimed at future development rather than survival, indicating a healthy financial foundation.

The New Reality of Product-Market Fit

  • The traditional view of product-market fit as a one-time achievement is challenged; it now requires continuous adaptation and evolution.
  • Previously, achieving product-market fit could take years; now, companies must reassess their fit every few months due to rapid market changes.

Rapid Changes in Technology and Consumer Expectations

  • Advances in AI technology lead to frequent shifts in what is possible with products, necessitating ongoing innovation from companies.
  • Both product capabilities and consumer expectations are evolving rapidly; this dual shift creates challenges for maintaining relevance in the market.
  • Companies must proactively build features ahead of technological advancements to meet changing consumer perceptions effectively.

The Challenges of Product-Market Fit in AI Companies

The Ongoing Struggle for Product-Market Fit

  • The need for a team that can scale effectively while adapting to rapid changes is crucial for AI companies, which are currently on a "product market fit treadmill."
  • Scaling efforts must be frequently adjusted, leading to short bursts of growth rather than sustained long-term commitments.
  • OpenAI's recent decline in market share highlights the precarious nature of even leading AI companies, with a notable drop of over 6% in just one week.
  • The current environment poses risks even for successful companies; previously stable growth rates no longer guarantee security or product-market fit.
  • Despite the stress and challenges, the potential impact and rewards of succeeding in this space are significant.

Navigating User Segments

  • Traditional approaches to product-market fit involve focusing on core users before expanding to adjacent user segments; however, time constraints hinder this process.
  • Adjacent user theory suggests that targeting users with similar but distinct needs can drive growth without needing to innovate entirely new products.
  • Current focus remains heavily on core users (pioneers), risking alienation of the latent majority who may not keep up with rapid advancements.
  • There is concern about whether prioritizing pioneers will leave adjacent users behind, creating gaps in engagement and adoption within the broader market.
  • Balancing attention between pioneers and adjacent users is critical; neglecting either group could jeopardize overall company success.

Insights on Working in AI Companies

  • Companies risk being perceived as niche or only suitable for tech-savvy individuals if they fail to broaden their appeal beyond early adopters.
  • Individuals considering careers at various tech firms should assess their comfort level with chaotic environments typical of AI startups versus established corporations like Google.
  • Working at an AI company offers unique opportunities to develop skills rapidly due to the fast-paced nature of innovation and change within the industry.
  • Candidates should recognize that instability is inherent in AI sectors, driven by ongoing shifts in product development and market distribution strategies.
  • Personal experiences highlight how immersion in an innovative environment can lead to accelerated learning and skill acquisition compared to passive observation.

Reflections on Industry Dynamics

  • The transformative potential of AI technologies raises questions about their actual impact on work processes and productivity across different sectors.

AI and Work Dynamics: Balancing Technology and Human Creativity

The Role of AI in Modern Work Environments

  • The integration of AI into work processes shifts the focus from individual value to collaborative enhancement, where employees assess how AI can assist them while identifying their unique contributions.
  • Contrary to common fears, AI is not seen as a job replacement; rather, it is viewed as "average intelligence" that provides foundational support, allowing human creativity to elevate outcomes.
  • Working in an AI-centric company requires adaptability and generalization due to smaller team sizes, which may not suit individuals who thrive in structured environments with defined roles.
  • Employees should evaluate their strengths and preferred work settings to avoid burnout, especially since the fast-paced nature of AI companies can lead to overwhelming workloads.

Work-Life Balance Perspectives

  • Achieving work-life balance in high-demand environments is challenging; however, personal boundaries are crucial for maintaining mental health and family time.
  • Personal experiences highlight that effective boundary-setting allows for a fulfilling work-life balance even within rapidly growing companies.
  • Many professionals struggle with achieving true work-life balance across various organizations; the key lies in managing expectations and utilizing tools like AI effectively.

Setting Boundaries Effectively

  • Protecting personal time is essential; prioritizing family commitments alongside professional responsibilities helps maintain overall well-being.
  • Instead of striving for an unrealistic balance, focusing on prioritizing tasks based on immediate needs leads to better decision-making without regret.
  • Daily choices should reflect priorities such as health and family over rigid schedules, fostering creativity through necessary breaks from work responsibilities.

Unique Practices at Lovable

  • Lovable emphasizes using its own platform for internal operations, showcasing a commitment to innovation through practical application of their tools.
  • Upcoming hackathons encourage collaboration among employees by dedicating time for creative coding sessions aimed at prototyping new ideas.

This structure captures the essence of the discussion around integrating AI into workplaces while balancing personal life commitments. Each point links back to specific timestamps for easy reference.

Feedback and Collaboration in Product Development

Utilizing Tools for Design and Communication

  • The speaker discusses using Lovable to create mockups for pricing page changes, emphasizing the collaborative nature of feedback where everyone contributes ideas and edits.
  • They mention leveraging ChatGPT for brainstorming, particularly enjoying its deep thinking mode despite some ideas being unoriginal; it helps them explore different perspectives.
  • Granola is highlighted as a valuable tool for AI-generated meeting summaries, while Whisper Flow is used to facilitate hands-free communication through voice dictation.
  • The speaker reflects on how AI influences their work processes, questioning how AI can enhance every aspect of their operations before integrating human input.
  • They express admiration for a specific engineering role that allows creative coding, indicating a desire to engage more deeply in such innovative tasks.

Ideation Process and Product Development

  • The conversation shifts to the ideation process, noting that initial excitement about an idea can diminish during development when practical challenges arise.
  • The speaker finds that building prototypes helps clarify which elements are essential or not, enhancing communication with engineers regarding project priorities.
  • They emphasize the importance of early-stage validation of ideas to avoid over-investing time in concepts that may not translate well into reality.
  • This iterative approach aids in refining ideas before they reach design stages, allowing for better alignment between vision and execution.

Concerns About Women in Tech

Gender Disparities in AI Adoption

  • The speaker raises concerns about women's representation in tech, specifically regarding their adoption of AI technologies compared to men.
  • Reports indicate a significant gap between male and female engagement with AI tools, suggesting men are gaining more opportunities due to higher adoption rates.
  • Notably absent are high-profile women leading successful AI companies or notable acquisitions; this trend highlights gender imbalances within the industry.
  • At Lovable, despite its inclusive branding efforts, data suggests only 20% representation of women among employees—raising questions about broader industry trends affecting women's participation in tech roles.
  • While acknowledging men's contributions to advancing technology, the speaker expresses concern over many women lagging behind in adopting new skills necessary for future job markets.

Diversity in the Workplace: Building for Everyone

The Importance of Representation

  • Emphasizes the need for workplace diversity, suggesting that products should be built by a representative sample of people to cater to everyone globally.

Gender Gap in Tech Adoption

  • Highlights the ongoing gender gap in technology adoption despite lower barriers to entry, expressing frustration over the lack of women participating in tech.

Initiatives to Empower Women

  • Discusses "She Builds," an initiative providing women with a hackathon experience where they can collaborate and create solutions relevant to their lives, such as tools for family or community needs.

Local Solutions from Women Developers

  • Notes that many projects developed during the hackathon address hyper-local issues, showcasing women's unique perspectives on problem-solving that were previously overlooked due to high software costs.

Encouraging More Female Coders

  • Advocates for increasing female participation in coding and software development to enhance diversity and ensure varied voices are included in tech solutions.

Opportunities for New Graduates in AI

Shifting Hiring Trends

  • Observes a shift in hiring practices within AI companies, noting that new graduates are often perceived as lacking job opportunities due to automation but argues this is misleading.

Need for AI Education

  • Stresses the importance of teaching AI skills in schools, warning that failing to do so sets young adults up for failure as they enter the workforce.

Learning from Fresh Talent

  • Shares insights on how experienced professionals can learn from new graduates who bring fresh perspectives and innovative ideas without being burdened by past industry norms.

Demand for Ex-founders

  • Points out a rising demand for ex-founders within AI companies, indicating a cultural shift towards valuing diverse experiences beyond traditional corporate backgrounds.

This structured summary captures key discussions around workplace diversity and emerging trends within the tech industry while linking back directly to specific timestamps for further exploration.

Insights on AI and Personal Experiences in Stockholm

The Role of AI in Traditional Companies

  • Emphasizes the importance of leading with achievable goals when working with AI, especially for those in traditional tech sectors who may struggle to navigate these changes independently.
  • Highlights that many companies look for guidance and examples to follow rather than trying to figure out solutions on their own.

Personal Reflections on Stockholm

  • Shares a personal favorite about Stockholm: the unexpected enjoyment of Swedish meatballs, which contrasts with previous experiences.
  • Notes that the local version of Swedish meatballs is significantly better than those from IKEA, indicating a unique culinary experience.
  • Describes the cleanliness and architectural beauty of Stockholm, noting it feels more pristine compared to other large cities.

Tips for Visiting Stockholm

  • Advises potential visitors to come during summer due to limited daylight hours in winter, enhancing the overall experience.

Engaging with Elena Online

  • Encourages listeners to connect with her on LinkedIn and engage with her posts as she shares insights from her work.
  • Mentions her newsletter (elenavern.com), where she documents findings and evolving thoughts related to her industry work.

Importance of Community Feedback

  • Expresses a desire for community engagement to help clarify patterns versus mere data points amidst rapid changes in the industry.
  • Recommends subscribing to her newsletter for deeper insights into topics discussed during the conversation.

Closing Remarks

  • Thanks listeners for their time and encourages them to subscribe if they found value in the discussion.
Video description

Elena Verna is the head of growth at Lovable, the leading AI-powered app builder that hit $200 million in annual recurring revenue in under a year with just 100 employees. In this record fourth appearance on the podcast, Elena shares how the traditional growth playbook has been completely rewritten for AI companies. She explains why Lovable focuses on innovation over optimization, how they’ve shifted from activation to building new features, and why giving away their product for free has become their most powerful growth strategy. *We discuss:* 1. Why 60% to 70% of traditional growth tactics no longer apply in AI 2. Why you have to re-find product-market fit every 3 months 3. The specific growth tactics driving Lovable’s unprecedented growth 4. Why giving away product is a growth strategy that beats paid ads 5. “Minimum lovable product” as the new standard (not minimum viable product) 6. Why activation now belongs to product teams, not growth teams 7. Whether you should join an AI startup (honest tradeoffs) *Brought to you by:* WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: https://workos.com/lenny Vercel—Your collaborative AI assistant to design, iterate, and scale full-stack applications for the web: https://vercel.com/lennyspodcast Persona—A global leader in digital identity verification: https://withpersona.com/lenny *Transcript:* https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna *My biggest takeaways (for paid newsletter subscribers):* https://www.lennysnewsletter.com/i/181207556/my-biggest-takeaways-from-this-conversation *Where to find Elena Verna:* • X: https://x.com/elenaverna • LinkedIn: https://www.linkedin.com/in/elenaverna • Newsletter: https://www.elenaverna.com *Where to find Lenny:* • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ *In this episode, we cover:* (00:00) Introduction to Elena Verna (05:19) The scale and growth of Lovable (08:55) Confidence in Lovable as a business (12:17) Retention at Lovable (15:02) Lovable’s unique growth levers (28:13) The role of marketing in Lovable’s success (38:09) Launching new features (40:59) Hiring and team dynamics (43:17) The value of vibe coding (49:46) The importance of community (51:47) Giving away your product for free (56:26) Tripling their company size (01:00:23) Product-market-fit challenges (01:08:50) Advice for joining AI companies (01:12:00) Work-life balance (01:15:20) What it’s like to work at Lovable (01:19:45) Women in tech (01:25:29) Final thoughts and lightning round *Referenced:* • Elena Verna on how B2B growth is changing, product-led growth, product-led sales, why you should go freemium not trial, what features to make free, and much more: https://www.lennysnewsletter.com/p/elena-verna-on-why-every-company • The ultimate guide to product-led sales | Elena Verna: https://www.lennysnewsletter.com/p/the-ultimate-guide-to-product-led • 10 growth tactics that never work | Elena Verna (Amplitude, Miro, Dropbox, SurveyMonkey): https://www.lennysnewsletter.com/p/10-growth-tactics-that-never-work-elena-verna • Lovable: https://lovable.dev • Building Lovable: $10M ARR in 60 days with 15 people | Anton Osika (co-founder and CEO): https://www.lennysnewsletter.com/p/building-lovable-anton-osika • Stripe: https://stripe.com • What differentiates the highest-performing product teams | John Cutler (Amplitude, The Beautiful Mess): https://www.lennysnewsletter.com/p/what-differentiates-the-highest-performing • How to win in the AI era: Ship a feature every week, embrace technical debt, ruthlessly cut scope, and create magic your competitors can’t copy | Gaurav Misra (CEO and co-founder of Captions): https://www.lennysnewsletter.com/p/how-to-win-in-the-ai-era-gaurav-misra • “Dumbest idea I’ve heard” to $100M ARR: Inside the rise of Gamma | Grant Lee (CEO): https://www.lennysnewsletter.com/p/how-50-people-built-a-profitable-ai-unicorn • Eric Ries on LinkedIn: https://www.linkedin.com/in/eries • Elena’s post on LinkedIn about Lovable Missions: https://www.linkedin.com/posts/elenaverna_everythingispossible-lovableway-activity-7401627519646474242-hn6e • SheBuilds: https://shebuilds.lovable.app • Shopify + Lovable: https://lovable.dev/shopify • The Product-Market Fit Treadmill: Why every AI company is sprinting just to stay in place: https://www.elenaverna.com/p/the-product-market-fit-treadmill ...References continued at: https://www.lennysnewsletter.com/p/the-new-ai-growth-playbook-for-2026-elena-verna Production and marketing by https://penname.co/. For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com. Lenny may be an investor in the companies discussed.