Back to All Events

Build with Lovable: Tech Stack Workshop

Build with Lovable: Tech Stack Workshop

About Lovable: Lovable is an AI software development platform that allows users to create complete applications and websites using natural language prompts instead of writing manual code. With Lovable, users can describe what they want to build in plain English through a chat interface. AI then generates full-stack codebase (both user interface and backend logic). This output can be linked to external services or exported for further customisation. This way, Lovable lowers the barrier to software creation: non-technical users can now build functional applications, while technical ones can automate and accelerate their workflow.

Background: Lovable is one of Europe's fastest-growing startups, achieving unicorn status (a valuation over $1 billion) just eight months after its launch. Within its first year, Lovable has raised over $225 million across three major funding rounds, reaching a total valuation of $1.8 billion in July 2025.

About the speaker: TBD

About the workshop: The workshop introduces Lovable, explains where it’s most useful, and shows how it works through a live build. You’ll also learn what’s the most cost-efficient way to access the tool and discover community resources to help you get started. The session includes live Q&A, giving you the chance to ask the speaker your own questions.

About the workshop series: Tech Stack Workshops is a biweekly initiative that familiarises founders of all stages with available tools and resources that can enable or accelerate their venture building. More information is available here.

*****

WHEN: 24 February 2026, 5:30-6:30 PM

WHERE: Remote. Zoom link will be provided to the registered students.

REGISTER: Slot bookings open 1-2 weeks before each session and will be announced via the E-Lab newsletter.

Previous
Previous
24 February

Classics x AI Workshop

Next
Next
26 February

A Clean and Reliable Energy Future: A Fireside Chat with Steve Smith of National Grid