The funding received in this round will go to develop a pipeline for Farcaster. Specifically, we will ingest and summarize the conversations that are happening in specific channels. This will allow community builders to quickly get up-to-speed to what has happened in their communities. In addition, these summaries can be shared across platforms, stimulating cross-platform information sharing without forcing members to switch tools. This solution builds on our existing expertise with LLMs.


**Timeline**


We will start the work after the round ends. The timeline is divided into front-end work and back-end work. With a threshold of $ 500 we will be completing the Farcaster pipeline (backend work week 1 to 4). In that way, Farcaster data is integrated with our data. 


**Backend**

Week 1: Documenting a data ingestion and structuring schema for Farcaster data that is compatible with our current data structure. Farcaster is a decentralized social network with an active developer community, offering ample resources and weekly developer calls to help teams build on their social graph. 


Week 2 - 4: Building of a data pipeline for Farcaster data 


Week 5 - 9: Developing LLM agent for creating summaries using a pre-selected prompts


Week 10-12: Testing and fine tuning


**Front-end**

Week 1-4: UX development and user research of settings to set up the summaries, and display of summaries in TogetherCrew
Week 5-9: Implementing and UAT testing of the community settings


Week 10-12: Testing and fine tuning
