This product was not featured by Product Hunt yet. It will not be visible on their landing page and won't be ranked (cannot win product of the day regardless of upvotes).
We built Score Studio because the same thing killed almost every computer vision project we've ever built: collecting the footage, labelling it by hand, and training for weeks, only for the model to fall apart the moment it hit the real world. So we automated the whole path. Drop in raw footage and Studio builds the dataset, labels it, trains, evaluates, and gives you a model you can deploy, in the cloud or on your own machine. For the hard problems, teams compete on a bounty and you keep the best model.
It's free to try on your own footage. It's early and not perfect yet, so I'd genuinely love your honest take, good or rough!
If you give it a go, tell me what task you gave it and where it fell short. That's the most useful thing you can leave us today.
I've been working on getting Score Studio out into the world, so it's a good day.
The short version: you point it at footage, it handles the dataset, labelling, training and evaluation, and hands you a model you can actually deploy. No more weeks lost to labelling.
Genuinely curious what it does for you. If you try it, tell me the task and where it held up or fell over, would be happy to help!
About Score Studio on Product Hunt
“Put Computer Vision on Autopilot”
Score Studio was submitted on Product Hunt and earned 3 upvotes and 2 comments, placing #86 on the daily leaderboard. From raw footage to production vision, automatically. Score labels, trains, evaluates, and deploys for you, with Frontier Lab researchers on demand.
Score Studio was featured in Developer Tools (519.8k followers) and Artificial Intelligence (479.1k followers) on Product Hunt. Together, these topics include over 207.2k products, making this a competitive space to launch in.
Who hunted Score Studio?
Score Studio was hunted by Max Sebti. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
Want to see how Score Studio stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Max Sebti
Hey folks,
Max here.
We built Score Studio because the same thing killed almost every computer vision project we've ever built: collecting the footage, labelling it by hand, and training for weeks, only for the model to fall apart the moment it hit the real world. So we automated the whole path. Drop in raw footage and Studio builds the dataset, labels it, trains, evaluates, and gives you a model you can deploy, in the cloud or on your own machine. For the hard problems, teams compete on a bounty and you keep the best model.
It's free to try on your own footage. It's early and not perfect yet, so I'd genuinely love your honest take, good or rough!
If you give it a go, tell me what task you gave it and where it fell short. That's the most useful thing you can leave us today.