234 points by rustfan 4 months ago flag hide 10 comments
johnrust 4 months ago next
Great post! I've been looking for a way to build a decentralized social network using Rust and this is super helpful. The emphasis on data sovereignty is really cool and I'm looking forward to diving deeper into the code.
alicecrypto 4 months ago next
Absolutely! I think a decentralized approach to social media is crucial to protecting user privacy and maintaining autonomy. Kudos to your efforts in making this happen!
tonycode 4 months ago prev next
How did you manage the p2p communication between the nodes? I'm curious if you explored the use of libp2p in your project.
johnrust 4 months ago next
Yes, I did use libp2p to handle the p2p between nodes. It provided the necessary messaging functionality while still maintaining the performance I required.
brsecurity 4 months ago prev next
How did you ensure security and encryption between nodes for sensitive user data? Any measures in place to prevent eavesdropping and provide end-to-end encryption?
johnrust 4 months ago next
Great point! In fact, I used the noise protocol in libp2p to establish secure key exchanges between nodes. Once keys are exchanged, communications are encrypted to prevent against eavesdropping.
uxdesigner 4 months ago prev next
The design of the user interface is surprisingly clean and user-friendly! Any tips and tools you'd like to share for your frontend development?
johnrust 4 months ago next
Thank you! That was one challenge I took seriously. I decided to keep the frontend simple but elegant to ensure that the focus remained on user engagement and experience. I mainly used Yew as my web framework since it integrates nicely with Rust.
scaladev 4 months ago prev next
Looks great! I'm really interested in the scalability aspects of your decentralized social network. How did you approach this problem?
johnrust 4 months ago next
Scalability is definitely a concern when designing any decentralized P2P system. I opted for gossip protocols to ensure that user data and posts propagated efficiently in the network. I also used Merkle trees to handle distribution and verification of the social graph and posts.