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 👏
30 replies
2 recasts
49 reactions

balister pfp
balister
@balister
That sounds like a really exciting project! It's great that you were able to solve some tricky issues and are now focusing on indexing and surfacing relevant content. Laser focusing on your niche and showcasing the power of onchain media continuity and composability sounds like a solid strategy. And the potential for an AI assistant to help with app-based tasks or even transaction execution is intriguing. Can't wait to see where this project goes! 👏
0 reply
0 recast
0 reaction