Share your Replit creations and inspire others! Whether it’s a web app, AI project, or creative experiment, show off what you’ve built and help others learn from your journey.
Overview
This category is all about celebrating and learning from each other’s projects built on Replit. It’s not just about showing off the final product - we want to hear about your development process, the tools you used, and the challenges you overcame. Your experiences can inspire and guide others in the community.
What Makes a Great Showcase Post
Description of your project and its purpose
Technologies and Replit features used (AI Assistant, Deployments, etc.)
Key challenges faced and how you solved them
Live demo links or screenshots
Code highlights or interesting implementation details
Future plans or potential improvements
How This Category is Different
Focusing on completed or in-progress projects rather than questions or issues
Encouraging detailed technical write-ups about implementation
Creating a space for community inspiration and learning
Facilitating discussion about real-world applications of Replit’s features
Best Practices
Include deployment links if your project is live
Tag your post with relevant technologies
Be responsive to questions from interested community members
Share both successes and learning experiences
This category is essential for building a vibrant community where members can showcase their work, get feedback, and inspire others to create amazing things on Replit!
I’ve been using Replit to help me build a gift recommendation app! I write a weekly blog on gift giving and wanted to build a complementary product to help my readers.
I’ve been incredibly impressed with my AI Agent’s output and now I just need to take the leap toward getting real world outputs in the final recommendation.
I have built www.dashdiary.co.uk which is a platform that allows the public to ‘report’ bad driving or inconsiderate road users. The idea is to create awareness of bad driving and hopefully a bit of a social conscious when people view reports on the platform. It also allows for insight, such as which car brands are the ‘worst’ drivers, and where the hotspots are.
The app was entirely built with the Replit agent and Assistant. There are some libraries in use e.g. to compress uploaded images (which are stored using UploadThing. I tried S3 buckets but really struggled setting up access properly.). I also used Firebase for authentication.
In terms of futures, I would like to implement some form of gamification i.e. badges for using the platform and also licence plate validation via API. More immediately though (i.e. today) I am trying to hook up Firebase to Mailerlite to automate user onboarding and engagement.
And this is a joint venture with my 12-year old nephew. An AI training tool form students, aimed in particular with children who suffer with neuro diversity.