July 24th, 2024

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

Hooper is a new app in open beta for tracking basketball stats and creating highlight clips. It offers free and Pro tiers, utilizing AI for accurate performance analysis and social sharing.

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

Hooper is a new app currently in open beta that allows users to track basketball stats and create highlight clips using just their phones. The app is designed for various game formats, including 1v1 to 5v5, and is suitable for both casual pickup games and competitive tournaments. Users can record games, automatically generate highlights, and monitor their progress over time. The app's AI technology claims a 92% accuracy rate in tracking player stats and plays, allowing for individual performance analysis.

Hooper offers two tiers: a free Rookie Tier, which allows one game upload per month, and a Pro Tier at $9.99 per month, providing unlimited uploads and additional features like automatic highlight generation and full-court tracking using two devices. Users have praised the app for enhancing their basketball experience, making it easier to analyze games and share clips with friends. The app is designed to democratize access to advanced basketball analytics, previously available mainly to professional players.

To use Hooper, users need to set up their phone to record the game, and the app can process the footage to provide detailed stats and highlights. The app also supports a social network for users to connect and share their experiences. Overall, Hooper aims to elevate the game for basketball enthusiasts at all levels.

AI: What people are saying
The comments on the Hooper app highlight enthusiasm and interest in its features and potential applications in basketball analytics.
  • Many users express excitement about the app's ability to track gameplay and create highlight clips.
  • There are discussions about the technical challenges of highlight segmentation and the accuracy of AI methods.
  • Users suggest potential improvements, such as adding defensive stats and using different camera setups.
  • Some commenters inquire about similar applications for other sports like tennis and soccer.
  • Overall, the community shows strong support and interest in the app's development and future capabilities.
Link Icon 20 comments
By @elpakal - 3 months
This is a cool idea, nice work. I spent some time as an assistant college coach in the NCAA and the amount of time spent reviewing film and capturing key plays/schemes etc is huge. I do some computer vision and always wondered if it would ever be accurate enough to skip over dribbling up the courts, time outs etc so scouts could just get to the important parts of the film—it looks like you are on track with what you claim it can do. I might sign up for the beta... good luck!
By @Avisan - 3 months
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!
By @frankdenbow - 3 months
Amazing. Pitched something like this to a friend a few days ago and its awesome that you've built it. Headed to a game now and down to use it and give feedback (im in two groups and both have people setting up phones to record). Now add in an AI ref so people can stop arguing for 10 minutes over wether someone stepped out of bounds or not in a pickup game.
By @jussy - 3 months
This is very interesting and well executed for the initial release. Good luck!

One thing I found odd was that the default/main screen in the app is a feed. That feed is just short videos without any of the game data the app captures. Perhaps an overlay would showoff the app as well as the skills. The videos by themselves don't add much differentiated value.

By @goochphd - 3 months
This combines three of my greatest passions - basketball, computer vision, and analytics. I love it! Thanks for sharing :)
By @goodmattg - 3 months
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.
By @drited - 3 months
Cool but offence is only half the story! Any plans to add defensive stats or stuff like turnovers / steals etc?

Also any plans to make it work from camera footage e.g. A 360 camera that can capture the whole court at once instead of syncing?

By @pierrefermat1 - 3 months
Are you using some sort of naive profanity filtering for profile names? I couldn't create an user name with "assist" in it due to "ass" being included?
By @bl0b - 3 months
Awesome! I someday hope to find the time to make something like this for soccer - individual skill drills as well as gameplay analysis.

Care to share any technical details about how your analysis pipeline works? :)

By @dvt - 3 months
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.
By @thom - 3 months
92% accuracy is really good! Is this just action recognition and player identity at the moment or are you actually generating full tracking data under the hood?
By @seanhunter - 3 months
This looks pretty sick and the site and promo video is very well done also. Nice job.
By @apwell23 - 3 months
This looks great. curious, Is is something similar for tennis and/or ice skating?
By @foobarkey - 3 months
Well done, ai_bullish++
By @dabs - 3 months
Please do surfing next and add it to Surfline
By @marban - 3 months
What are you using for video analysis?
By @bbstats - 3 months
sweet