Hooper

AI stats and highlights for basketball play

161 followers

AI stats and highlights for basketball play

161 followers

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Hooper creates highlights and stats for everyone on the court 🏀 📱all you need is a mobile phone 🏆supports practice, pickup, and league games 📷record with your friends and share your best moves on social

Free

Launch tags:Android•Health & Fitness•Sports

Launch Team

ClarifyThe Full-Stack AI CRM that replaces 5 tools

Promoted

DuckFightClub

Hunter

📌

Just imagine going down your block and play a classic 3v3 basketball game with friends, you do a great move and score. Everyone on the field is amazed, and they will keep telling the story forever, but none will ever see this move because it was not recorded. This exactly what Hooper is doing, just set it up to record your game, and its AI will analyze your moves and give you some stats. Perfect for all the folks interested to improve their skills.

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2yr ago

Great tool, congrats on the launch! I saw it couple of days ago on HN and already shared it with my friends whom I hoop with casually. Looking forward to try it. Good luck with your challenges! 🚀

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2yr ago

Hooper

Maker

@mlkrsrc Thank you for sharing it with your friends! Excited to see what y'all think

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2yr ago

Hooper

Maker

@mlkrsrc thanks for the support! And looking forward to you to trying it and giving us any feedback you have. Trying to make this thing better every day

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2yr ago

Hooper

Maker

Hey everyone! @stevenk and I started building Hooper six months ago. We play a lot of pickup together and were arguing about who has a better jump shot and ended up hacking together something to settle it 😅 The way Hooper works is you can record yourself using the app and ideally a tripod. The app will track everyone, whether it’s a solo practice, a 3v3, or a 5v5. We think there’s a lot of stuff out there for basketball drills but what we really wanted Hooper to be for is actual game play. That means, it can do things like track multiple players, sync two half court recordings, and differentiate 2s vs 3s. Once you finish recording, it’ll process for a bit and then ask you to tag yourself (and optionally other players). Then it spits back out a few things: you can watch the full footage as well as a clipped version that’s only the interesting plays; you can see highlights and offensive box stats for every tagged player. When you sign up, you get a Hooper profile that tracks your overall stats across the sessions. You can also do things like build a mixtape from your highlights for insta. You can friend other players on Hooper to see their profile & comment on their games. We’ve been in a closed beta for about 3 months now, fixing bugs and getting things to work with a set of early adopters. We are now starting our open beta 🎉! If you love basketball, try it out! You can download the app in testflight for iOS and in the play store for android. We are still early in our journey, and lots of improvements to be made in the next few months, but we would love your feedback and ideas!

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2yr ago

@stevenk @mike_wu3 So who has the better jump shot? :)

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2yr ago

Hooper

Maker

@farhadnoorzay 😆 I am sad to say I can no longer pretend I am better at shooting. I will still stand by my turnaround fade though

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2yr ago

My favorite app to record my hoop sessions on!! Makes it so much easier and I love the Instagram ready footage. Chris out the footage https://www.instagram.com/reel/C...

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2yr ago

We used Hooper for our Basketball League in Toronto. A phenomenal product that had players engaged as they shared their highlights and stats off the court. Seems like there is a new feature being released every week. Good job Hooper team!

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2yr ago

Hooper

Maker

@daanish_khader thanks for the kind words, and for being an early partner. Your feedback has come a long way into shaping the product to what it is today and what it will be tomorrow

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2yr ago

Congats on the app launch! This app is cool - I have used it in the closed beta and have loved it for keeping score and stats on our pickup games. I can't wait to see what comes next too!

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2yr ago

So cool! How do you do all that processing without extra equipment? Excited to use it!

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2yr ago

Hooper

Maker

@tracey_k_liu good question! We had to build our own datasets of pickup basketball play and train models in house to handle the unique challenges of recording from a mobile device like occlusion and angle. Definitely wasn’t an easy process but I think worth it for users to not have to buy any expensive hardware themselves

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2yr ago

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