Key Annoucements and Features
Rebrand to Lovable
The rebrand from GPT Engineer to Lovable marks a new chapter, but the mission remains the same: democratizing software creation. The rebranding coincides with enhanced tools for building full-stack applications seamlessly.
Select to Edit Feature
A new feature allows users to edit application components directly by selecting them. For example, you can click on a button or text to:
- Change its color or style.
- Edit multiple similar elements at once.
- Simplify complex adjustments with bulk edits.
This feature reduces errors and ensures precise control over app customization.
Adding Images to Content
Users can now drag and drop or paste images directly into their projects. This integration automatically treats uploaded images as assets, making it easier to enhance applications with visuals.
Templates
Lovable introduced pre-built, customizable templates to accelerate project creation. Current templates focus on websites, such as portfolios or business sites. For instance, a sustainable banking company website, “Green Back,” was quickly created using a template. Future updates will include templates for more complex use cases like social networks and e-commerce platforms.
Full-Stack Capability with Supabase
Lovable is now fully integrated with Supabase, enabling robust back-end support. This integration provides:
- User authentication with services like Google and GitHub.
- Real-time data updates.
- File storage for images and documents.
- Edge Functions for server-side logic, such as API integrations with OpenAI.
Example projects include: - Naify: An AI-powered photo labeling application.
- Lotion: A Notion-inspired workspace featuring real-time collaboration and payment integration.
Live Demo: Mood Tracker App
During the office hours, Kristian and Alex demonstrated the development of a mood-tracking app with authentication, data persistence, and AI-powered analysis.
- Setting Up Authentication: They added login and sign-up capabilities using Supabase. A new user account was created and successfully logged in.
- Data Persistence: Mood entries, including scores and notes, were stored in a Supabase database. SQL migrations were reviewed and applied to ensure data integrity.
- AI-Powered Report Generation: An Edge Function was added to summarize mood logs. The app connected to OpenAI to generate personalized mood analysis reports, such as identifying predominant emotional trends.
- Challenges and Resolutions: Errors related to SQL migrations and missing parameters were resolved. The use of TypeScript helped identify and fix issues during development, streamlining the process.
Advanced Features and Use Cases
1. Storage Integration
The use of Supabase storage buckets for uploading and managing files was demonstrated. For example, an image gallery app allowed users to upload and publicly access images seamlessly.
2. Real-Time Collaboration
The team showcased a collaborative pixel grid where users could place and view pixels in real time. This demonstrated the potential for building interactive and collaborative applications.
3. Edge Functions
Edge Functions were used to integrate OpenAI’s DALL-E for generating images from text input. Other potential use cases include Stripe payment integration, email automation, and advanced AI-powered features.
Closing Thoughts
The Lovable team encourages users to be ambitious and take full advantage of the platform’s capabilities. With the power of Lovable and Supabase integration, users can create real-world applications with ease. Join the Lovable community to accelerate your learning, share your experiences, and stay updated on the latest features.
Next Steps:
Start building your app today with Lovable. Share your creations on social media using #BuiltWithLovable and join the discussion on Product Hunt and Hacker News.
