Cutscene Replay
Never miss. Always clip.
What it does
Cutscene Replay is a replay capture and clipping tool for streamers and creators. Set up independent horizontal and vertical layouts, save profiles for different games, and capture both versions of a moment with one hotkey. Manage clips in the built-in Clip Library, make quick edits with trimming, captions, audio and branding tools, then export for publishing. Original video and audio sources can also be preserved for external editing.
The smarter way to clip Never miss. Always Clip. Cutscene Replay captures your best moments so you can clip, edit and share in seconds - not hours. Capture…
Cutscene Replay captures your best moments so you can clip, edit and share in seconds – not hours. Cutscene Replay is a Windows desktop replay-recording and editing app for creators. Capture recent gameplay, screen, camera and audio sources, then clip, edit and export horizontal and vertical content. Keep the last few minutes ready and save the moment with a hotkey – without recording an entire session. Capture two independently designed outputs from the same moment, ready for different platforms. Keep captured and edited clips organised, preview them quickly and jump straight back into your workflow. Trim, split and arrange clips, add media and audio, adjust playback and…from cutscene-replay.com
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Growth · 29d ago · astrapixels.com
Launched alongside, August 2026
the whole month →- TL
Life & fun · 10d ago · louisabraham.github.io
- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com