In March of this year, SC received \~3k DAI from DAO Drops as part of their first round of retroactive public goods funding. We planned to use the discord plugin to create Cred scores with which to distribute the funds. However, we ran into unexplained errors in the output; likely due to the plugin code not being actively maintained. As a backup, I used an experimental plugin (the Initiatives plugin) that had been largely unexplored, which allowed me to manually enter data on meetings (the primary form of contribution for regular participants). This worked surprisingly well, and I worked with the community to tweak the algorithm parameters and get [scores that were satisfactory enough to distribute funds](<https://discourse.sourcecred.io/t/dao-drops-proposed-distribution/1454/1>). 

These results gave me confidence that a similar process could be used to analyze attendance data generally, and perhaps other types of place-based data. 

Last month, at the General Forum on Ethereum Localism (GFEL), I created an unconference session on place-based reputation where I pitched this general idea, riffed on place-based reputation generally, and was encouraged by the general enthusiasm of the participants.