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.
Read original articleHooper 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.
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Hoop.dev – the only access gateway with packet manipulation
The GitHub URL details "hoop.dev," an access gateway for databases and servers. Features include passwordless authentication, open-source SSO, session recording, just-in-time access, Slack/Teams requests, packet manipulation, web/proxy modes, and custom connections. Visit hoop.dev for more.
- 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.
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.
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?
Care to share any technical details about how your analysis pipeline works? :)
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