Conference Presentation, Fireside Chat, Interview
RAISE Summit Opening: A Fireside with Mark Cuban & Anton Osika, Lovable | RAISE Summit 2026
- Lovable Core Value Proposition:
- A plain English interface allowing users to describe software, which the platform then builds, hosts, secures, and enriches with AI capabilities.
- Targets founders, small businesses, and large enterprise teams by abstracting the complexity of software engineering.
- Adoption and Scale Metrics:
- Generates over 1 million new projects weekly on the platform.
- Applications built on the platform receive more than 700 million visits monthly.
- Approximately 30% of user base is based in the U.S., with significant global adoption in Brazil and India.
- 80% of the 14,000 surveyed users are building products with the intent to monetize.
- User demographics consist of 80% non-technical users and 20% technical/engineering users; non-technical users often achieve the highest success outcomes.
- Case Study: Nursa:
- Nenad, Chief Product Officer at healthcare staffing company Nursa, built a full internal product line (administration, scheduling, certification) using Lovable.
- The platform replaced over 10 existing SaaS tools across marketing and back-office functions.
- Estimated cost savings of $1 million annually through internal tool consolidation.
- Strategic Shift for Entrepreneurs:
- The platform enables "AI co-founders" to handle not only coding but also setup tasks like global payments, e-commerce stores, and email flows.
- Users leverage domain expertise to solve niche problems without needing traditional engineering resources.
- The "Shark Tank" effect: Entrepreneurs can launch concepts, iterate, and build businesses around products with minimal upfront capital.
- Enterprise and Security Integration:
- Key enterprise challenge addressed: Controlled data flow and access governance when connecting to ERPs or existing data sources.
- Security and trust are prioritized to prevent unpredictable costs associated with raw foundation model usage.
- Organizational agility is driven by allowing non-technical staff to build custom agents (e.g., a data scientist building an agent to analyze Asian market growth).
- Pricing and Cost Efficiency:
- Transparency in pricing is emphasized to prevent the "bill shock" common with direct foundation model interactions.
- Reduces the barrier to entry for incorporating businesses, setting up banking, and managing legal compliance.
- Future Roadmap and Vision:
- Evolution from simple code generation to strategic business advising, with agents running overnight to provide morning insights on customer acquisition and product strategy.
- Focus on "agentic processes" to automate repetitive, low-value tasks within existing business workflows.
- Continued investment in making software development accessible to generalists, removing the need for command-line interfaces or deep technical knowledge.