Skip to content

Social media trend discovery

Find what's moving. Decide what fits.

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.

Trends Refreshed today
Most ViewedOutlierTopics & Sounds
YouTubeInstagramTikTok
#1

The result appears before the explanation

Creator Lab

18.3M views1.4× typical
#2

One visual question carries the full video

Make Better

6.9M views8.4× typical
#3

A familiar format with a sharper premise

Studio Notes

4.7M views3.1× typical
Kabo found the more useful signal#2 has lower total reach, but moved 8.4× beyond the creator's baseline.

Find the signal—not just what is popular.

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.

Signal explorerLatest refresh visible
Most ViewedOutlierTopics & Sounds
YouTubeInstagramTikTok
#1
The result appears before the explanationCreator Lab · published in selected window
18.3M views
#2
One visual question carries the full videoMake Better · published in selected window
6.9M views
#3
A familiar format with a sharper premiseStudio Notes · published in selected window
4.7M views

See what is gaining attention now.

Switch between video reach, outliers, topic demand and sound signals, then narrow the board to the platform and window that match the question.

Try Kabo

Big is not always surprising.

Separate absolute reach from creator-relative outperformance so a useful format from a smaller account is not hidden behind the largest channels.

Try Kabo
Reach vs. outlierSame 7-day window
MOST VIEWED18.3Mtotal views

Large channel · 1.4× normal performance

OUTLIER6.9Mtotal views

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.

Video opportunity reportBuilt from the selected trend video

Strengths

The visible result makes the premise clear before the explanation.

Areas to improve

The early CTA interrupts the payoff and can move to the end.

Alternative openings 3

Can this workflow really save an hour?

Title ideas 4

The Proof-First Workflow Test

Trend fit

High potential

The proof-first mechanic fits your educational format without depending on the original premise.

Keep working on this video in KaboRewrite the opening in your voice or plan the next cut.Continue analyzing →

Keep the mechanic. Change the premise.

Open a trend video and generate a compact report on its strengths, weaknesses, alternative opening, title direction and fit for your content.

Try Kabo

The moment “what should we make?” needs evidence.

Trend discovery works best when it answers a concrete content decision instead of adding another feed to scroll.

01Choose a topic

Planning next week’s content

You need one current direction that already fits your audience and format.

02Read the outlier

A smaller creator suddenly breaks out

You want to know whether the performance is unusual and what visible mechanic changed.

03Expand the signal set

Your niche feels quiet

You need adjacent topics, searches or sounds without abandoning your channel promise.

04Align the team

A team needs a trend recommendation

You need sources, dates and a clear reason this signal fits the brief.

Four steps from movement to a relevant content test.

Try Kabo
1Step 1

Choose the signal

Decide whether you need reach, outliers, search demand or sound usage.

2Step 2

Set the context

Keep platform, format, market and publication window visible.

3Step 3

Open the evidence

Inspect the source video, account baseline and latest refresh date.

4Step 4

Design the next test

Ask Kabo what may transfer, then adapt the mechanic to your audience.

Know what a trend signal actually says.

What does Kabo consider a trend?

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.

How often is Trending Data refreshed?

Each board and tool displays its latest available refresh or observation date. Refresh timing varies by source and platform.

What is the difference between Most Viewed and Outlier?

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.

Does Kabo predict which trend will go viral?

No. Kabo explains observed signals, relevance and transferability. It cannot guarantee distribution, reach, followers or future virality.

Find the trend. Make the idea yours.

Start with what is moving. Leave with something relevant enough to test.