The result appears before the explanation
Creator Lab
18.3M views1.4× typicalSocial media trend discovery
Explore videos, outliers, topics and sounds gaining attention across YouTube, Instagram and TikTok—then ask Kabo which signals are relevant to your audience and content.
Refresh dates and observation windows stay visible.
Creator Lab
18.3M views1.4× typicalMake Better
6.9M views8.4× typicalStudio Notes
4.7M views3.1× typicalWhy discover trends in Kabo
Kabo keeps reach, outperformance, topic demand and sound usage separate, then helps you decide which visible mechanic may transfer to your own audience and format.
01 · Find the signal
Switch between video reach, outliers, topic demand and sound signals, then narrow the board to the platform and window that match the question.
Try Kabo02 · Read the movement
Separate absolute reach from creator-relative outperformance so a useful format from a smaller account is not hidden behind the largest channels.
Try KaboLarge channel · 1.4× normal performance
Smaller creator · 8.4× normal performance
The second video is the stronger research lead.Its total reach is lower, but the format moved much further beyond the creator's normal range.
The visible result makes the premise clear before the explanation.
The early CTA interrupts the payoff and can move to the end.
Can this workflow really save an hour?
The Proof-First Workflow Test
The proof-first mechanic fits your educational format without depending on the original premise.
03 · Find the transferable part
Open a trend video and generate a compact report on its strengths, weaknesses, alternative opening, title direction and fit for your content.
Try KaboStart with tools you can use now
Start with five real Kabo trend surfaces across video reach, creator-relative outliers, sounds and search interest.
Browse ranked videos and outliers with a visible observation window.
Use this toolCompare videos and Shorts without mixing formats or publication windows.
Use this toolSee the sounds used now and which entries are gaining momentum.
Use this toolOpen current Reels audio signals with the latest refresh kept visible.
Use this toolUse current search interest as a research lead—not automatic proof of demand.
Use this toolBuilt for
Trend discovery works best when it answers a concrete content decision instead of adding another feed to scroll.
You need one current direction that already fits your audience and format.
You want to know whether the performance is unusual and what visible mechanic changed.
You need adjacent topics, searches or sounds without abandoning your channel promise.
You need sources, dates and a clear reason this signal fits the brief.
How to discover trends in Kabo
Decide whether you need reach, outliers, search demand or sound usage.
Keep platform, format, market and publication window visible.
Inspect the source video, account baseline and latest refresh date.
Ask Kabo what may transfer, then adapt the mechanic to your audience.
Discover other tools in Kabo
Audit the account, analyze the video or turn a useful direction into a practical content plan.
Helpful resources
Practical guides for separating observable movement from guesses about the algorithm or future distribution.
Study four visible patterns without turning breakout performance into a formula.
Read guide 02Sound trendsUse audio as part of the opening—not just as background decoration.
Read guide 03TikTok formatsMatch the platform feature to the content job instead of chasing novelty.
Read guide 04Performance diagnosisCheck comparable posts and visible restrictions before blaming the algorithm.
Read guideQuestions, answered plainly
Kabo separates several public signals: absolute reach, creator-relative outperformance, topic demand, search interest and sound usage. The interface identifies which signal a board represents.
Each board and tool displays its latest available refresh or observation date. Refresh timing varies by source and platform.
Most Viewed ranks absolute public reach inside a selected window. Outlier compares a result with that creator's normal performance, helping smaller but unusually strong videos remain visible.
No. Kabo explains observed signals, relevance and transferability. It cannot guarantee distribution, reach, followers or future virality.
Your next content signal
Start with what is moving. Leave with something relevant enough to test.