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Show HN: Hooper – AI-driven stats and highlights for basketball play

hooper.gg

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Re: Show HN: Hooper – AI-driven stats and highlights for basketball play

#31
I love this! looked into doing a similar project, you're competing against Hudl but using the phone instead of custom hardware (always preferred). Highlight segmentation may be a challenge with SOTA cv methods, but there are lot of directions you can go in.

Re: Show HN: Hooper – AI-driven stats and highlights for basketball play

#33
post #18
post #15

Earlier quoted context omitted.

Re:fouls. At my pickups courts we call our own fouls by saying Foul. Perhaps the mic can pickup key words matched the play stopping.

Oh neat, yeah we could some speech to text thing or maybe even some like visual signal thing to call fouls.

Very cool of you to take on board feedback.

In relation to user experience on first try...I just wanted to test it out for 30 second to see if it's worth keeping. I haven't tested now, will have to wait until I get an hour free later because there are a few roadblocks. - You require email and password registration and to click a verification link. Not too bad - When first launched the app asks you to allow mic permissions by clicking settings. However in Hooper settings on Android there is no mic permissions option. Bad. - You require 5gb free to use the product at all. Understandable given storage is required for video but how about reducing that so users can do like a 30-second test for first use? That way they don't have to spend an hour going through their phone's media to see what they want to keep and what they can delete.

You'd be amazed at how many people (like me lol) have almost full storage on their device most of the time.

Edit: oh....it's not a setting for mic permissions, it's a general permissions setting and if you touch that you can add additional permissions. Based on the text of the popup I hadn't guessed that was the right place to look and I hadn't realised it was possible to add permissions by touching that area of the settings menu.

Re: Show HN: Hooper – AI-driven stats and highlights for basketball play

#35
post #19

This is awesome, thanks for sharing! Hooper sounds like a fantastic app for pickup basketball players. I love the idea of tracking actual gameplay and creating highlights. The ability to sync recordings and differentiate shots is impressive. Can't wait to try it out and see how it tracks my games. Great work!

Yeah! Excited to see what you think of it. Making our tracking algos and shot classifiers better is something we think about a lot.

Re: Show HN: Hooper – AI-driven stats and highlights for basketball play

#36

I love this! looked into doing a similar project, you're competing against Hudl but using the phone instead of custom hardware (always preferred). Highlight segmentation may be a challenge with SOTA cv methods, but there are lot of directions you can go in.

Yeah Hudl is definitely a beast in the space though I think of them as almost more focused on orgs and teams rather than consumers.

Re: highlight segmentation was and still is a challenge that we work on. In the beginning we had a hard time dealing with false positives when our models thought a shot was in but it wasn't. This has gotten better over time with more data and is hovering near 92% acc these days but obv not 100%. But i'm optimistic as data grows and the sota methods get better, this isn't the hardest ml problem in the world

Re: Show HN: Hooper – AI-driven stats and highlights for basketball play

#37
post #26
post #11

Very awesome, congrats on your release! I know of a similar golf app that made absolute bank, so if there's a niche and you can tap into it, you guys will likely do quite well.

What's the golf app?

Here are some i looked at - SwingU, Ace Trace, Swing Profile, Sportsbox AI. Overall seems like two kinds of golf apps: (1) more micro- to track and grade your swing, and (2) more macro- something to track your progress over a course
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