Most AI clippers wait for your VOD, then scan the transcript. ClipMe taps the live Kick HLS feed and cuts ranked clips during the broadcast - vision-ranked across 18 signals (chat spikes, reactions, the payoff), not transcript-only. Free founding-beta tier.
Hey Product Hunt 👋
I stream on Kick and post shorts daily, and I got tired of the same pattern in every AI clipper: you hand it a finished VOD, it scans the transcript, it hands back a pile of "technically fine, actually mid" clips - and you become the filter. Two things bugged me most:
1. "Supports Kick" almost always means "will eat a Kick VOD link" - no live ingest, no chat signal.
2. The AI picks mid moments because it's tuned for podcasts/talking-heads, not the second chat exploded.
So I built ClipMe around three things:
- It taps the live Kick HLS feed and cuts the clip during the broadcast - not after the VOD lands. A few tools now market live/real-time clipping too (ContentPilots, for one), so I won't claim I'm the only one - but closing the "clip exists before I end my stream" gap is the whole reason it exists.
- The picker is vision-ranked across 18 signals - chat velocity, reaction, the actual payoff - instead of transcript-only. You get a ranked shortlist, not 40 maybes to babysit.
- It's fast - a ~10-hour VOD came back as ~50 ranked clips in about 5 minutes on our GPUs (real-world varies with stream length, queue and plan).
Each clip gets face-tracked 9:16/1:1/16:9 reframing + word-level captions (5 languages), and you can auto-post to TikTok/IG/YouTube. It's a real registered company (CLIPME LLC) and there's a free founding-beta tier so you can run one of your own VODs through it before deciding anything.
Fair warning: it's Kick-first. If you're mostly Twitch or YouTube, some of the older names will fit you better. Honest feedback very welcome - especially from streamers. What do you check for in a clipper?
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ran it on a couple kick streams and the picks landed way faster than usual, actually catching the hype moments instead of just waiting for chat to repeat itself. chat spike detection feels sharp.
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ran it on a couple kick streams and the picks landed way faster than usual, actually catching the hype moments instead of just waiting for chat to repeat itself. chat spike detection feels sharp.