CLUSTER TWITCH-YOUTUBE-CLIPPING · 6 ENTRIES · EARLIEST ENTRY 2026-10-11
Automatic video highlight clippers
The cluster consists of video clipping tools that automatically extract highlight moments from YouTube, Twitch, or local videos, generating clips, previews, and subtitles. The cluster's dated history is too thin to read a shape from, as no dated entries exist before the index start. Traction among members is minimal, with Clipyard, Skimreel, and cliping-fe all showing 0 stars.
Entry timeline
ENTRY TIMELINE
Each bar is the month a member carries, which is a creation date where the source published one and a crawl date otherwise. Nothing in the index was found before 11 August 2026, and coverage broadened sharply on 14–15 August, so a bar from then on reports how much we found that month, not how much was built; an earlier bar reports how far back a member's own source dated it — not how long we have been watching.
Members by activity
Activity signals, not revenue.
Build origin · 1 hand-coded · 5 unlabelled
Operator · 2 hobby · 4 unlabelled
Two labels per entry, never collapsed into one: how it was built, and who stands behind it. Counted over the 6 listed below. Unlabelled means nothing has decided yet — not that the answer is small.
- 01Clipyard0★6 days—Video clipping app that analyzes YouTube, Twitch, or local videos for motion, cuts the strongest moments, and generates clips, previews, and subtitles.
- 02cliping-fe0★13 days—hand-codedWeb app for clipping videos from YouTube, using analytics heatmaps and keyboard shortcuts to mark in and out points.
- 03Skimreel0★5 daysliveVideo clipping tool that extracts notable moments from YouTube, Twitch, or local videos and generates clips, previews, and subtitles.
- 04CLEAVE0★8 days—hobbyWeb app that turns Twitch and YouTube VODs into highlight clips by detecting natural start and end points.
- 05ZeroAndy0★unknownlivehobbyWeb app for watching video clips from small Twitch streamers.
- 06SkimReel — Your One-Click Clipping Tool0★unknownliveVideo clipping web app that analyzes YouTube, Twitch, and local videos to automatically extract highlight moments.
Ranked by traction, highest first, and paged 20 at a time — this is a window on the cluster, never the whole of it. Ties are broken by a stable id so a product cannot appear on two pages or fall between them. Browse every cluster.