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Startup Intelligence
Markets
  • Signal Feed
  • Startups
  • Categories
  • Founders
  • Revenue
  • Beyond the launch
Intelligence
  • Content Desk
  • Editorial QA
  • Ask Market
  • Signature Index
  • Trends
Lab
  • Metric Bench
  • Tagline Lab
  • Smart Search
Yours
  • Watchlist
  • Alerts
  • Search
Sync now
/
9,550 products · 45,733 snapshots
Jockey by TwelveLabs

Jockey by TwelveLabs

Exceptional signal

Your entire video library: organized, searchable, understood

Launched 9h ago
Signal
82
Velocity
0

What this means

47%Mid-tier finish likely.
Projecting attention of 251 by end of day-1.

Prediction

Top-5 finish probability
47%
today
Projected end-of-day votes
251range 188–339
Trajectory
stable
Not enough snapshots yet to detect trajectory.

About

Jockey is the first AI that understands your entire media library across photos and video. It analyzes thousands of hours of footage so you can find and connect people, moments and context across videos. Use it in Claude or ChatGPT, or build with the API/SDK. Ingest YouTube, TikTok and Instagram Reels links; assemble content into MP4s; and create and share video-driven artifacts with playable clips. Every TwelveLabs model upgrade makes Jockey better, without re-integration.

AI Summary

Jockey by TwelveLabs is an AI tool that organizes and analyzes video and photo libraries, enabling users to search and connect content based on people, moments, and context. It supports integration with platforms like YouTube and TikTok, and offers an API/SDK for custom applications.

Attention & discussion velocity

Performance

Velocity0
Vote pace vs average
Momentum0
Sustained over 6h
Virality0
Spread × engagement
Engagement14
Discussion per unit of attention

Editorial read

Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.

ThinLittle evidence and no strong angle. Nothing to build on yet.
135/8
Timeliness5%100
carried 7%
Novelty15%39
carried 20%
Trend20%34
carried 27%
Business15%16
carried 20%
Story20%0
carried 27%
Not measured · 3 of 8
Revenue10%—
Founder10%—
Cross-platform5%—

Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.

measuredmeasured, zeronot measured
Full audit →

Signal sources

3 of 6 active
  • Launch tracking2 readings since we picked it up
  • AI analysisAI Agents
  • Comment intelligencethread not yet analysed
  • Outside discussionnot checked — domain is a storefront or shared
  • Revenue signalsno match on this domain
  • Editorial scoring23% evidence coverage

A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.

Founders

Kyle Cabigon
Kyle Cabigon
@kylecabigon
rep 66
Jae Lee
Jae Lee
@jaelee_
rep 66
Aiden Lee
Aiden Lee
@aiden_lee7
rep 66
Christine Lim
Christine Lim
@c3lim
rep 66
fmerian
@fmerian · hunter

Topics

Artificial IntelligenceProductivityVideo