One seed creator in.
A whole lookalike list out.
Echo starts from one real TikTok profile, follows the hashtag challenges they're actually riding, and surfaces creators with a matching content style — then ranks them by embedding similarity and engagement quality.
Paste a TikTok profile or @username
Result preview
Here's what one search looks like
Example: lookalike candidates and match scores from one beauty seed creator.
Maya Rivera
@mayabeauty
- Makeup tutorials
- US
- Followers
- 182K
Jojo Kim
@jojoglow
- Skincare reviews
- US
- Followers
- 96K
Lena Park
@lenaskincare
- K-beauty
- KR
- Followers
- 240K
Bru Costa
@brucosmetics
- Makeup hauls
- BR
- Followers
- 73K
Sample data, for illustration only.
How it works
Four steps, from one seed to a ranked shortlist
Give it a seed creator
Paste one @uniqueId — Echo pulls their recent posts instantly.
Extract the challenges
It reads the hashtag "challenges" the creator is riding.
Discover lookalikes
It finds other creators posting under those same challenges.
Rank by fit
Candidates are ranked by embedding similarity + engagement quality.
Use cases
Any niche, starting from one seed
Paste one creator — Echo spreads along the content signal to a whole batch of lookalikes.
@glow.maya
38 lookalike beauty creators · 90% avg match
@fitwithleo
52 fitness creators · US first
@tastytokyo
Japan-localized · 41 food creators
@dailyfits
GB market · 29 fashion creators
@progamerz
High engagement · 47 gaming creators
@pawdaily
BR market · 33 pet creators
Sample scenarios, for illustration only.
Capabilities
A discovery engine built for paid & BD teams
Not keyword guesswork — real creators pulled from real content signals.
Seed from a real profile
Starts from a live TikTok page, not keyword guesswork.
Content-style match
Matches niche and style, not just follower count.
Localized search
Filter creators by country and language.
Quality ranking
Scored on follower tier, avg plays, engagement, verification.
Credit per search · auto-refund
One credit per search — refunded automatically on failure.
In-context side panel
A Chrome side panel — discover while you browse TikTok.
Compare
Why teams pick Echo
The same discovery power, a fraction of the cost — right where you already browse TikTok.
| Echo | Modash | HypeAuditor | |
|---|---|---|---|
| Seed from a real TikTok profile | |||
| Content-style similarity ranking | |||
| Country & language targeting | |||
| Pay per search · no monthly lock-in | |||
| Discover inside TikTok (side panel) | |||
| Entry cost | Low | High monthly | High monthly |
Comparison based on public information, for reference only.
0
dimension content vectors
0+
countries & languages
0%
auto-refund on failed search
Pricing
Simple, transparent credits
1 credit = 1 discovery search
Failed searches are auto-refunded — you never pay for a miss.
- No subscription lock-in — pay for what you use
- Per-search cost far below Modash / HypeAuditor
- Need more credits? Contact us for access
Credits never expire.
FAQ
Still have questions?
Where does the data come from?
From creators' real TikTok profiles and the hashtag challenges they actually use.
Which regions and languages?
Target by country and language — US, GB, DE, JP, BR, ID, IN, and more.
How do I install it?
It runs as a Chrome side-panel extension — discover while you browse, without leaving TikTok.
Do I pay for failed searches?
No — credits are auto-refunded if a search fails.
Get started
Paste one creator, pull a whole batch of lookalikes.
Right where you browse TikTok — billed per search, refunded on failure.