Closed-source software asks us to trust what we cannot inspect. We want to build differently.
Three months ago, my co-founder and I quit our jobs to build Meridian full-time. It is an open-source, local-first AI work journal that runs on your device, captures your development activity, and drafts clear worklogs and updates for tools like Jira. Nothing leaves your device until you approve it.
Meridian is MIT-licensed and free for individual developers. Your thoughts and support would be really helpful
I ve been thinking a lot about the difference between personalization and real adaptation in fitness software.
A profile with age, goal and experience level is useful, but it still treats each workout request almost like a new session.
A more interesting model is longitudinal: remember what the person actually completed, which movements and muscle groups were trained recently, how difficult the exercises felt, what restrictions exist, and how nutrition has looked over the previous days.
Then the next recommendation is based on that history instead of starting from zero.
We're running a one-day AI hackathon in Madrid on Saturday Sept 12. Deliberately small: 20 curated spots, engineers and founders, individual format, something working by the end of the day. Then food and beers while people demo.
The plan is to repeat it every month or so, so I care more about getting the format right than about this one edition.
Two things I keep going back and forth on:
Individual vs teams. Individual means everyone ships something and nobody hides. Teams mean more ambitious projects but a worse experience for whoever gets the bad group. I've landed on individual for a one-day format, but I'm not sure.
