The new AI growth playbook for 2026: How Lovable hit $200M ARR in one year | Elena Verna (Head of Growth)

1. Recapture PMF Every 3 Months

In the AI era, product market fit is a continuous battle; be prepared to recapture it every three months due to rapid changes in underlying AI technology and evolving consumer expectations.

2. Prioritize Innovation Over Optimization

In rapidly evolving and competitive markets, focus 95% of efforts on innovating and creating new growth loops rather than optimizing existing ones, as reinvention of solutions is key to staying ahead.

3. Build Minimum Lovable Products (MLP)

Shift from building Minimum Viable Products (MVP) to Minimum Lovable Products (MLP), focusing on creating delightful and impactful experiences from the outset.

4. Give Product Away Generously

Remove barriers to entry by giving your product away frequently, especially in new categories, to allow people to explore capabilities and experience the “wow moment” without friction.

5. Prioritize Engagement Over Monetization

Focus on maximizing user engagement and usage as a North Star, even over immediate paid retention, with the plan to optimize the monetization model later once high engagement is established.

6. Treat AI Costs as Marketing Spend

Reframe LLM pass-through costs from freemium and giveaways as marketing expenses rather than a cost center, recognizing them as a “growth secret sauce” for driving awareness and adoption.

7. Shift Organic Marketing to Social

Reorient organic marketing strategy from traditional SEO to social media, focusing on CEO/team posts, LinkedIn presence, and influencer marketing across all relevant platforms.

8. Hire Passionate, Mission-Driven Talent

Prioritize hiring individuals who are deeply passionate about their work, view it as a hobby, and see the opportunity as a “global maximum,” rather than just a paycheck.

9. Hire Designers Early

In an era where building is easier, differentiate by prioritizing experience, design, and delight; make a designer one of your first hires to ensure brand and humanity translate through every product interaction.

10. Ask “What Can AI Do First?”

Adopt a mindset of first asking “What can AI do here?” for every task or problem, then determine how human input can add value on top of AI’s capabilities.

11. Empower User-Led Promotion

Actively support users who want to organize events or hackathons using your product by providing free credits and resources, as they act as powerful marketers and activators within their own networks.

12. Create “Blow Your Socks Off” Product

Design product experiences that are so delightful and surprising (“blow their socks off”) that users are compelled to talk about them, thereby naturally generating word-of-mouth growth.

13. Growth Drives Core Product Features

Empower growth teams to initiate and launch core product features and integrations, as this can unlock new use cases and significantly impact growth, moving beyond just surface-level optimizations.

14. Embed Activation Focus in Core Product

Ensure the core product team, especially those building AI agents, is deeply obsessed with the first user experience and reaching the “aha moment,” making activation a core product functionality.

15. Maintain Constant Market Noise

Generate continuous market noise by shipping new features frequently (daily, multiple times a day) and consistently talking about these updates.

16. Prioritize Shipping Velocity

Make shipping velocity a number one core value for the development team, doing everything possible to maintain and increase it.

17. Empower Engineers for Marketing

In a lean product organization, empower product engineers to announce and market the features they ship, fostering autonomy and reducing reliance on a large marketing team.

18. Cultivate “Lovable” Product Mentality

Embed a “lovable” mentality throughout the organization, where every interaction aims for delight, and anything not “lovable” (e.g., bugs) is prioritized for immediate fixing.

19. Embed Brand Directly in Product

Integrate brand identity and “love marks” directly into product interactions and unique experiences, especially when a dedicated brand marketing team is absent, to communicate brand personality.

20. Prioritize Influencer Marketing

For products that benefit from visual demonstrations of capability (e.g., AI tools), prioritize influencer marketing over paid social, as video interactions effectively drive trials and engagement.

21. Build & Foster Strong Community

Create and nurture a strong user community (e.g., on Discord) to bring people together, facilitate exploration of capabilities, and amplify word-of-mouth and retention.

22. Enable Non-Technical Building

Focus on empowering non-technical users to build and create software, as this opens up a large “founder use case” and diverse monetization opportunities.

23. Monetize the Building Process

Consider monetizing the act of building or creation itself, rather than just the final product, especially for tools that enable users to develop their own applications.

24. Embrace Continuous Capability Evolution

Recognize that in new technology categories, product capabilities change rapidly (every 1-3 months), requiring users to constantly re-engage to explore new possibilities.

25. Aim for Benchmark Paid Retention

Strive for paid retention rates that are on par with established B2B SaaS benchmarks, understanding that not every high-growth product will “crush” in this area but can still be successful.

26. Focus on Market Share, Not Revenue

Prioritize gaining market share and user adoption, even if it means intentionally reducing immediate revenue growth by giving more product away, seeing revenue as an outcome of inputs rather than a direct optimization target.

27. Deprioritize Minor Optimizations

In rapidly moving markets, minor optimizations of existing user journeys are often not worth the time; instead, focus on standing up new growth initiatives and features.

28. Reinvent Solutions to Stay Ahead

In competitive and fast-moving markets, staying ahead requires reinvention of solutions and standing up many new initiatives to capture perishable demand, rather than just optimizing existing offerings.

29. Maintain Narrative Control (Small Co.)

As a smaller company, leverage the ability to quickly deliver messages to the market and maintain narrative control through trusted employee and founder voices.

30. Frequent Shipping for Re-engagement

Leverage high shipping velocity and constant communication about new features as an effective resurrection and re-engagement strategy, prompting users to check out what’s new.

31. Inject Personality into Socials

When posting on social media, ensure content reflects genuine personality and humanity, rather than generic AI-generated copy, to build connection and trust.

32. Be Authentic & Vulnerable on Socials

Show vulnerability and authenticity on social media to allow customers to connect with the team behind the product, fostering loyalty in a competitive landscape where functionality alone isn’t enough.

33. Enter Fast-Moving Markets

Seek to build products in “fast-moving waters” or rapidly expanding categories, as being at the right place at the right time with an exploding market significantly contributes to growth.

34. Hire for High Agency & Autonomy

Seek candidates with high agency and autonomy who can independently figure out and own tasks from start to finish, even those outside their direct specialty, reducing reliance on other teams.

35. Empower Teams with High Autonomy

Provide teams with significant autonomy and enablement to “go try things,” with minimal day-to-day supervision, as long as they align with overarching goals.

36. Embrace Rapid Iteration & Failure

Foster a culture where rapid iteration and occasional failures are acceptable due to high velocity, allowing teams to quickly pivot and learn without fear of constant winning.

37. Lovable Product Aids Recruiting

Building a highly “lovable” product naturally creates a strong recruiting brand, attracting top talent who are excited by the product and company mission.

38. Use Paid Work Trials & Probation

Implement paid work trials (a few days) and probation periods to assess candidates in action and ensure cultural fit, especially in fast-paced environments that aren’t suitable for everyone.

39. Hire for Chaos-to-Clarity Skills

Be transparent about a chaotic work environment and prioritize hiring individuals who can create clarity out of chaos, rather than those who seek pre-defined clarity.

40. Collapse Product Feedback Cycles

Leverage new tools (like AI) to collapse the product development and feedback cycle, enabling rapid iteration from idea to functioning product and user feedback within days.

41. Develop “Vibe Coding” Skills

Cultivate “vibe coding” (using AI tools to build apps/prototypes) as a valuable skill, as it’s becoming increasingly relevant for designers, product managers, and marketers.

42. Hire Dedicated “Vibe Coders”

Consider hiring dedicated “vibe coders” (potentially non-technical individuals proficient in AI building tools) to accelerate product velocity and push the limits of what’s possible.

43. Aim for “Wow Moment” First

Focus on delivering an immediate “wow moment” in the very first interaction (e.g., first AI generation) to hook users and make them realize the product’s potential, even if it’s not yet perfect.

44. Reallocate Budget to Product

If a product drives growth through word-of-mouth and product-led strategies, reallocate traditional large marketing and sales budgets towards product development and giving the product away.

45. Anticipate AI Model Advancements

Proactively build features and functionalities in anticipation of future AI model releases, ensuring your product is ready when new technological capabilities become available.

46. Balance Pioneer Focus with Broad Appeal

While focusing on pioneers is crucial, be mindful of not alienating the “latent majority” by making products too niche or advanced, which could create a gap in broader market adoption.

47. Thrive in AI’s “Messy Middle”

If you are comfortable converting chaos into clarity and operating in a “messy middle” of constant change, an AI company offers a unique opportunity to absorb new and valuable skill sets.

48. Augment AI with Human Creativity

View AI as “average intelligence” that can quickly establish a baseline, then add your unique human thinking and creativity on top to elevate the work to the next level.

49. Join AI Companies to Be AI-Native

To rapidly become an “AI-native” employee and master the use of AI tools, actively seek opportunities to work at AI-focused companies where AI integration is fundamental to operations.

50. Assess Fit for Chaotic AI

If your strengths lie in structure, definition, and deep specialization, an early-stage AI company might not be the best fit; consider waiting until the industry stabilizes.

51. Prioritize Without Seeking “Balance”

Instead of striving for an unachievable “work-life balance,” prioritize family and work in different moments based on needs and future regret, setting clear boundaries for personal time.

52. Protect Non-Negotiable Personal Time

Identify and ruthlessly protect non-negotiable personal commitments (e.g., time with family, sleep, health) to prevent burnout and maintain well-being, even in high-paced environments.

53. Leverage AI for Productivity

To meet high expectations and maintain velocity in fast-paced roles, integrate AI tools into many aspects of your work life to enhance productivity and achieve outcomes.

54. Use Your Own Product Internally

Actively use your own product for internal tools, prototyping, and hackathons to deepen understanding, dogfood features, and foster creativity within the team.

55. Prototype with AI Tools for Specs

Augment written product specifications with interactive prototypes built using AI tools, allowing teams to visualize, interact, and provide feedback more effectively.

56. Use AI for Rapid Mockups

Utilize AI tools to quickly create mockups and design changes (e.g., by recreating screenshots and applying edits) to streamline communication and accelerate design-to-engineering handoffs.

57. Use AI for Deep Brainstorming

Leverage AI tools, particularly “deep thinking” modes, for brainstorming to generate new ideas, explore different angles, and calibrate thinking, even if it takes time.

58. Use AI for Meeting Summaries & Dictation

Integrate AI tools for meeting summaries (e.g., Granola) and dictation (e.g., Whisperflow) to save time and boost personal productivity.

59. Use AI Building for Idea Validation

Use AI tools to quickly build prototypes of ideas to validate their potential and “magic” early in the ideation process, helping to break down what’s important and avoid pushing unviable concepts too far.

60. Address Gender Gap in AI Adoption

Recognize and actively work to bridge the observed gender gap in AI technology adoption to ensure diverse representation in the future workforce and product development.

61. Create Women-Only AI Building Initiatives

Organize women-only hackathons or initiatives that provide free access to AI building tools and foster a supportive community, empowering women to discover and apply AI to their unique problems.

62. Hire AI-Native New Graduates

Actively recruit AI-native new graduates who bring fresh perspectives and deep AI knowledge, as they can be “fireballs” that drive innovation and challenge existing paradigms.

63. Foster Intergenerational Learning

Cultivate an atmosphere where experienced professionals (“old guard”) are open to learning from and adapting to the ways of AI-native new graduates, leveraging their fresh perspectives.

64. Hire Ex-Founders for Agency

Prioritize hiring ex-founders or individuals with high agency and autonomy, as their entrepreneurial mindset and ability to operate independently are highly valuable in fast-paced AI companies.

65. Set Realistic Growth Benchmarks

Understand that Lovable’s extreme growth is a “once-in-a-lifetime” unicorn scenario, influenced by market conditions, and should not be a universal benchmark for every business.

66. Adapt Marketing Messaging Rapidly

Recognize that product positioning and messaging cycles are now very short (around three months) due to rapid product changes, requiring marketing to constantly adapt narratives.