We’ve been designing our first use cases focused on privacy—one of the coolest things we’re building right now. Let’s start with a question:
Can something be private yet discoverable?
This is a new kind of social experience, blending privacy and discovery. Since we published our short article last week, we’ve had some intense discussions with many of you. And here’s the good news: we’re going to test it.
Imagine chatting with an AI where your question is only discoverable by people who share the same curiosities. Each message becomes a social experience, and each message becomes a privacy setting.
Built with Index: FarlensFlow
FarlensFlow is a social listening and funding flow creator tool. It uses Index's contextual pub/sub feature to automatically discover conversations using natural language to create funding flows.
Curious about Index Network architecture?
Seref breaks it all down with a detailed explanation and a demo. Intents in AI, Semantic index, contextual listener, event-driven agents, vector search in private data. Everything for user-centric discovery in one video:
Into the Dataverse: Present and future of AI + how crypto will accelerate innovation
Don’t miss the Into the Dataverse podcast! Moderated by Holly from Orbis, Seref from Index Network, Andrew from Tableland, and David from Olas Network had a thought-provoking and fun discussion on Decentralized AI.
Resources
Developer Documentation: https://docs.index.network/docs
Discord: https://discord.gg/DjBcKCx4na
Twitter: https://twitter.com/indexnetwork_
Website: https://index.network/
Send us an email: hello@index.network