FragCut
Zero Editing Skills, Viral-Ready Clips
Turn hours of gameplay into seconds of viral fame. FragCut uses multimodal AI (CLIP + Gemini) to detect gaming highlights from long VODs. Creates 9:16 vertical clips optimized for short-form platforms. No editing required.
Features
- 🎮 AI highlight detection (kills, aces, clutches)
- ⚡ 15-20 minute processing time
- 📱 Vertical 9:16 format (TikTok/Reels/Shorts)
- 🎯 Viral potential scoring
- 📤 One-click TikTok publishing
Use Cases
1. Valorant Game Streamers (core users)
2. Content Creators (need rapid short-form video output)
3. Gaming Teams (need batch processing of match recordings)
4. Gaming Video Editors (improve work efficiency)
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Comments
Hi everyone! Jacob here, creator of FragCut. The problem: Gaming streamers create 3-6 hours of content daily, but social media platforms want 60-second vertical videos. The manual editing process is brutal. The solution: Upload your Twitch VOD → AI analyzes the entire stream → Get 10 highlight clips in vertical format within 15 minutes. We're using Gemini 2.5 Flash to analyze both audio (callouts, reactions) and visuals (kills, clutches) to find moments that actually perform well on TikTok/Reels/Shorts. Currently optimized for Valorant, but we're learning fast. What other games would you want to see supported? Happy to answer any questions about the tech stack or our approach!
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Makers
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Comments
Hi everyone! Jacob here, creator of FragCut. The problem: Gaming streamers create 3-6 hours of content daily, but social media platforms want 60-second vertical videos. The manual editing process is brutal. The solution: Upload your Twitch VOD → AI analyzes the entire stream → Get 10 highlight clips in vertical format within 15 minutes. We're using Gemini 2.5 Flash to analyze both audio (callouts, reactions) and visuals (kills, clutches) to find moments that actually perform well on TikTok/Reels/Shorts. Currently optimized for Valorant, but we're learning fast. What other games would you want to see supported? Happy to answer any questions about the tech stack or our approach!
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