I wanted to share a side project we’ve been using and iterating at Hedgy for the past couple weeks.
It’s our take on a self-hosted company brain that is powered entirely by our claude subscriptions. It includes a ClickHouse data lake for ingesting data and light knowledge infrastructure for storing knowledge about the data (e.g. this is how we count a user as active, check column X when determining LTV). This is exposed to our AI’s via MCP. No inference happens in setoku itself, it’s just a data tool you give your agent. The MCP encourages the AI to record gotchas and insights as it finds them and there’s a minimal admin interface for auditing and pruning knowledge [0].
I had been pretty impressed with claude code’s data analysis abilities on my local postgres, so I was excited to ship this capability to my non-technical teammates to use from claude.ai and cowork. They thought of way more things to do with it than I did and the additional log data makes agentic debugging faster and more reliable. I honestly hooked up the log drains just to test the system with more data, but now I couldn’t go back to my log-blind claude code.
After slacking a bunch of screenshots with charts we were making, we wanted a better way to save and share them. Since the data is in the lake, we added a little protocol so that LLM’s could take a static chart or dashboard and publish it to the box as an app hooked up to the live data.
I’m running them on OVHCloud VPS’s. The Hedgy instance and demo are both running on a VPS-3 ingesting spending and account data from Mercury, Vercel logs, Render logs, a few slack channels, and Github activity.
I also deployed a family instance which is running well on a $5/mo OVHCloud VPS-1. It ingests our finances from Monarch Money (love this product!) so that Fable can give me grounded financial advice (this is not financial advice!).
Technically setoku ships as a docker image + a set of claude code skills that cover initial server setup and adding connectors.
Anyway I’m rambling, check out the tool and LMK if you have any questions/thoughts or want help setting it up :)
data + memory = knowledge!