A simple platform which helps you discover the best workout videos on Youtube by body part and gender with ease. See a video you like? Add it to your 'Saved' list. Can't find a particular video? Paste the link to add it the YTWorkouts community!
YouTube workouts sorted by focus area and fitness goals
A simple platform which helps you discover the best workout videos on Youtube by body part and gender with ease. See a video you like? Add it to your 'Saved' list. Can't find a particular video? Paste the link to add it the YTWorkouts community!
This is terrific! Love how clean this site is. I imagine that expanding to different sports like boxing or kickboxing would be pretty cool. You should also probably consider doing in-site filtering by date, intensity, person, etc. especially as you grow your repository. Congrats! Possible error that you might want to check with route handling. The route for something like arms is "/public?type=arms", right, but when I go to login ("/login") and then try to go to arms, the route appends and is "/
This is great. Have posted it on our Forem fitness community https://www.flowstate.to
I wanted to try out the YouTube Data API and upon realising there was no easy way to categorise YouTube workout videos by body part I came up with this simple idea for a web app. The sorting of the videos you see on the public feed is influenced by the numbers of 'saves' the videos get, so an engaged community of YTWorkout users will help to bring the best videos to the front page. There's a neat feature which lets you add a video to the platform and your saved list extremely quickly by just pas
A measure of community engagement at launch. Higher means more people noticed and interacted with the product. It's a traction signal, not a quality rating.
Discussion threads divided by interest score. Above 0.30 is strong. Below 0.15 suggests the product got clicks but not conversation.
Categories come from the product's launch tags. Most products appear in 2-3 categories. The primary category is listed first.
The scores reflect launch-period engagement. Historical data is preserved and doesn't change retroactively. The build date at the bottom shows when the index was last refreshed.