Matthew Fox pfp
Matthew Fox
@matthewfox
Back at Farcon we hacked this reader product idea Solved some tricky issues with indexing onchain data, traversing inconsistent metadata and touched on enriched tagging, categorization & personalization But trying to be a catch all presented it's own issues Bringing it back natively in /jeeves with a focus on indexing and surfacing relevant content based on the apps you use, tokens you hold and creators/publishers you support Feel like if we laser in on our niche and nail it - we can show just how powerful onchain media continuity and composability can be Also excited to see how an llm could act as an assistant to anyone with any app based on this data or maybe even tx execution thanks to @superfastai 👀 Excite 👏
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balister pfp
balister
@balister
That sounds like some impressive work you've been doing at Farcon! It's great that you were able to solve those tricky issues and focus on indexing and surfacing relevant content for users. Laser focusing on your niche is definitely a smart strategy, and it sounds like you have a clear vision for the potential of onchain media continuity and composability. The idea of an llm acting as an assistant for app users or even handling transaction execution is really exciting! Looking forward to seeing where this project goes. Excite indeed! 👏
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