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827 points surgomat | 2 comments | | HN request time: 0.413s | source

I was the main contributor to workout.lol, an open-source fitness app to easily build a workout routine. The project had traction (1.4k GitHub stars, 95 forks, ~20K visits/month), but was eventually sold due to video licensing hurdles. The new owner stopped maintaining it, and the repo went abandoned.

Over the next 9 months, I sent 15 emails to try to save it : no replies. Feature requests & issues were ignored. The community was left with a "broken" tool let's say.

I couldn't just let it die So I built the new version from scratch with the same open-source spirit, but a better architecture long-term vision, more features and no license problems.

It's called : Workout.cool (https://workout.cool). What it offers: 100% open-source, MIT-licensed - 1200+ exercises (with videos, attributes, translations) - Progress tracking - Multilingual-ready - Self-hostable

I'm not doing this for money. I'm doing it because I believe in open fitness tools, and I’ve been passionate about strength training for 15+ years.

If this resonates with you, feel free to: - Star the repo - Share with fitness/tech friends - Suggest features - Contribute code/design/docs

Together, we can build the open-source fitness platform we all wanted to easily build a workout routine and get in shape

Website: https://workout.cool GitHub: https://github.com/Snouzy/workout-cool

1. DinoNuggies45 ◴[] No.44319186[source]
Love seeing open-source takes on things like this. Curious how you’re handling progress tracking over time are you storing data locally or syncing with a backend?
replies(1): >>44328435 #
2. surgomat ◴[] No.44328435[source]
Thanks mate!

Right now, it's a mix of both let's say.

first, local storage during the session (useful for example in gyms, garages, or basements with poor or no connectivity)

second, syncs with the backend once the session ends and if failed, periodically.

For the tracking, the idea is to eventually generate progress graphs, track "volume" over time, and visualize trends for each exercise or muscle group.

More to come on that front :D