Drop in long basketball footage and start from reviewable moments instead of an empty timeline.
Early beta
AI-assisted
Review first
Turn full game film into highlights in seconds.
HoopClips helps basketball players and coaches stop wasting time scrubbing through long videos. Upload game footage, let AI surface possible highlight moments, and review the clips that matter.
Built for players, coaches, teams, trainers, parents, and creators.
No install is needed for the browser demo. AI-assisted detection gives you a faster starting point, then you decide what to keep.
Dashboard
Uploads
Analyses
Clips
Analysis
Ready
Upload footage
0Clips
--Highlight tags
--Needs review
▶
Drop game video
The problem
Game film takes too much time.
Reviewing basketball footage means hunting through long videos just to find a few strong plays, missed shots, defensive mistakes, or clips worth sharing.
- 01Long footage is hard to review
- 02Highlights are annoying to find manually
- 03Coaches do not always have time to clip film
- 04Players need clips for recruiting and social media
- 05Teams need better organization for review
Choose your lane
Different basketball people, one faster film-review starting point.
Find my highlights
Pull out makes, drives, hustle plays, and clips worth reviewing or sharing.
Review faster
Start with possible key moments instead of scrubbing through every second of game film.
Organize video
Keep film review pointed around clips, labels, and moments the whole group can discuss.
Make content
Spend less time hunting for usable plays and more time cutting the final story.
Simple flow
Upload footage. Let AI analyze it. Review the best clips.
Upload basketball footage
Players, parents, and coaches can bring in game clips, practice clips, or longer team footage.
AI surfaces possible moments
HoopClips helps identify possible events such as makes, misses, drives, passes, and highlights.
Review, save, and share
Users confirm useful clips before saving, exporting, or sending them to a coach, team, or audience.
Built for basketball
A focused toolkit for turning raw game video into useful moments.
AI clip detection
Finds possible highlights and important basketball moments from raw footage.
Reviewable labels
Labels can include shot attempt, drive, made shot, miss, pass, highlight, and needs review.
Review dashboard
Inspect detected clips, sort by confidence, and decide what is actually useful.
iOS upload flow
Designed around players and teams bringing footage from the phone they already use.
Web demo
Preview the upload and analysis workflow in the browser through the existing Atrak demo.
Export workflow
Save clips, build highlight reels, share links, or send moments to a coach or team.
Product proof
Already working, still improving.
iOS app testing
HoopClips is designed around phone-first upload and review for players, parents, and teams.
Mac and web workflow
The desktop review experience gives coaches and creators a larger surface for checking clips.
AI-assisted labels
Possible basketball events are surfaced as reviewable labels, not treated as perfect decisions.
Public web demo
The Atrak demo lets visitors preview the upload and analysis workflow without installing anything.
Product proof
Real app assets, web demo screenshots, and review previews.
Live demo
Want to see it in action?
Try the HoopClips web demo on Atrak. Preview the upload and AI-assisted analysis workflow in the browser with no install required. Some features are experimental while HoopClips keeps improving.
- Upload basketball footage
- Run AI-assisted detection
- Review possible clip labels
Maker proof
Built by Charlie Han
Created with love by Charlie Han and Atrak.dev as an early-stage AI sports product.
atrak.dev/apps/hoopsclipsWho it is for
Useful for the people who actually touch basketball film.
Players
- Find personal highlights
- Review mistakes
- Build recruiting and social clips
- Track development over time
Coaches
- Save time reviewing film
- Identify key moments faster
- Share clips with players
- Organize team video review
Trainers
- Show specific improvement points
- Compare before and after clips
- Create training examples
- Keep useful reps easy to find
Parents and creators
- Find good moments from games
- Save shareable clips
- Avoid manually editing full videos
- Support athletes with cleaner film
Trust and accuracy
AI helps you find the moment. You make the final call.
HoopClips uses AI-assisted detection to help surface possible basketball moments faster. AI is not a replacement for human review. It is designed to reduce the time spent searching through footage by giving users a faster starting point.
Built by Charlie Han
A real product funnel for a real basketball tool.
HoopClips.com routes visitors to the live demo, captures beta interest through Formspree, and gives players, coaches, and teams a clear front door for the iOS, macOS, and web workflow.
Roadmap
Active product, clear next steps.
Available now
- Web demo
- iOS upload and testing
- AI-assisted clip analysis
- Reviewable labels
Building next
- Better shot, pass, and drive detection
- Highlight reel builder
- Coach sharing tools
- Recruiting clip exports
Bigger vision
- Player development dashboards
- Team film rooms
- Multi-camera support
- Automatic player tracking
FAQ
The honest version before you try it.
Is HoopClips fully automatic?
No. It is built to surface possible moments faster, then let users review and confirm what matters.
Is the AI perfect?
No. Basketball video is messy, so HoopClips uses reviewable labels instead of claiming perfect calls.
Who is it for?
Players, coaches, teams, trainers, parents, and creators who need cleaner basketball film workflows.
Can I try it without installing?
Yes. The Atrak web demo lets you preview the workflow from a browser.
How do I join the beta?
Use the form below. If the iOS or macOS app is not public yet, the beta list is the access path.
Get access
Join the HoopClips beta.
Tell us how you would use HoopClips. The beta list is for players, coaches, teams, trainers, parents, and creators who want faster basketball film review.
contact@hoopclips.com