Index all profiles and casts on the Farcaster protocol using Merkle Manufactory APIs. Powers Searchcaster, Fardrop and others.
Soon, both profiles and casts will read from Farcaster Hubs instead of client APIs.
Create a new Supabase project via CLI. This will create all the tables for you.
supabase init
Rename .env.example to .env and configure your variables.
cp .env.example .env
If you don't have a Merkle auth token yet, set the FC_MNEMONIC environment variable to your Farcaster recovery phrase and run the following command to generate a token.
yarn install
yarn run auth
Seed your database with protocol data. This will take ~5-10 minutes for profiles and casts (default), or ~30 minutes for everything (include the --verifications flag).
yarn run seed
# or
yarn run seed --verifications
The Merkle APIs don't include a registration timestamp for users. For new registrations, we get the timestamp by watching events on the ID Registry contract. If you were running the previous version of this indexer, you can migrate this data. Otherwise you can skip this step.
yarn run migrate
Run the indexer
yarn start
Create a Supabase account and empty project. Connect to the CLI using your Postgres connection string under Project Settings > Database.
supabase db remote set postgres://postgres:[YOUR-PASSWORD]@db.xxxxxxxxxxxxxxxxxxxx.supabase.co:5432/postgres
Push your database schema
supabase db push
I recommend hosting the indexer on Railway.