@ninjakitchen · PAIDMaybe...just let @ninjakitchen AutoBarista do it? ☕🤷🏿♂️ #ninjapartner #handsdown
10 Jul 2026
Check for fake followers in seconds on Instagram, TikTok and Youtube accounts for free
Real Instagram data captured 14 Aug 2026. This example shows every section a check returns; run a check above for any other account.

Gaming video creator · TikTok:160 Mln+
· email in full report
78.0M
Followers
0.63%
Engagement rate
487.8K
Avg likes
3,791
Avg comments
17.4M
Avg video plays
22.7K
Avg shares
78,007,313 followers, classified against 340M profiles.
89/100
Credibility of likers
129:1
Likes-to-comments ratio
22.7K
Shares per post, avg
Tell us where you sell, and we’ll set your account up with the audience data you need to judge fit yourself.
Interests, demographics, growth, and content performance — the analytics brands use to vet a creator, free on every report.
Language
Gender
Age
Audience reachability
Where the audience is heading — and how engagement compares to similar accounts.
monthly, Feb–Aug 2026
78.0M
Followers now
+328.4K
Last 6 months
1,010
Following
65,381 accounts, 1M+ followers
Unlock the full stats on this creator — plus 10 more reports
All 200+ data points per creator, across 47 platforms. Free to start, no credit card.
From captions, disclosed partnerships, and engaged followers
Sponsors detected
+ @google, @meta, @binance and @boss also ran campaigns.
Accounts mentioned most
Includes a detected sponsor (@holafly_esim) — consistent with a sponsored feed.
Brands this audience over-indexes on
How much more this audience engages with each brand than the average Instagram audience, among brands at least 3% of this audience follows. 145 brands scored — the rest unlock in the dashboard.
Top hashtags
14 detected · paid posts perform at 17% of the organic average
@ninjakitchen · PAIDMaybe...just let @ninjakitchen AutoBarista do it? ☕🤷🏿♂️ #ninjapartner #handsdown
10 Jul 2026
@007gameioi · PAIDThe sign’s right there James!! #learnfromkhaby @007gameioi #earnthenumber #007firstlight #ad
25 Jun 2026
@visitmacao · PAIDDid you catch me at the roadshow? It’s that simple. 👌🏻 @visitmacao #macao #experiencemacao #madridroadshow
29 May 2026
@holafly_esimThis is how I airport. No need for tricks, just get Holafly Unlimited Data. Simple. #holaflypartner #holaflyesim
21 Feb 2025
@holafly_esimEnjoy unlimited data no matter where you roam with Holafly! Stay connected across the globe #holaflyesim
16 Dec 2024
@drinkmrpinkI’m excited to share my new partnership with @drinkmrpink #MrPinkxKhabyLame #DrinkHealthy #ad
1 Aug 2024
Last 10 indexed posts
REELI showed you how it’s done… your turn now #learnfromkhaby #comedy
6 Aug 2026
REELLet me choose the restaurant next time 👍🏿 #learnfromkhaby
4 Aug 2026
REELI didn’t land well on my first jump… but at least I got to be here 🏊🏾
27 Jul 2026
REELMaybe next time. 🤨 #learnfromkhaby #comedy
24 Jul 2026
REELYeah… I feel your pain now. 😭 #learnfromkhaby #comedy
20 Jul 2026
REELEveryone panicking over airport WiFi. Me? Not my problem anymore. #ad #holafly
17 Jul 2026
The basics
Fake followers are accounts that follow a creator without being real, interested people. Some are bought in bulk, some are bots, and some are abandoned accounts with no history. They inflate the follower count, but they never watch, comment or buy anything.
Not every low-value follower is fake, though. Plenty of real people follow thousands of accounts and barely see any of them. That is why the checker does not stop at real or fake. It splits the audience into real, active people, mass followers, suspicious accounts and other creators, so you know how many people a post will actually reach.
Inside the check
Bought followers leave a trace in more than one place. The report reads the audience, the engagement, the growth curve and the sponsored posts together, so one odd number never decides the result on its own.
The core of the check. Every follower is classified against 340M+ creator profiles and placed in one of four groups, each shown as a share of the audience.
Mass followers are real but follow more than 1,500 accounts, so your post is one of thousands in their feed. Suspicious accounts show bot patterns or have no history at all. Creators are followers with real audiences of their own, which is worth knowing when a campaign is meant to travel.
Fake followers do not engage, and fake engagement does not look like the real thing. This section puts the account’s engagement rate next to the median for accounts of the same size, with a credibility score out of 100 and the ratio of likes to comments.
average likes ÷ average comments
Bought likes are cheap and bought comments are not, so a ratio far above what similar accounts get is a sign the likes were padded. Average shares per post sit alongside it, because people only share what they actually watched.
Real audiences grow in a steady climb, with bumps when a post takes off. Bought followers show up as a vertical jump with no viral post to explain it. The follower history chart shows the curve and how many followers the account gained in the last six months, so you can line any jump up against engagement in the same window.
Next to it, the engagement rate distribution places the creator among accounts of the same size. A rate at the bottom of that distribution, on an account that grew fast, is the pattern bought audiences leave behind.
Once you know how much of the audience is real, the next question is who they are. The report shows the interests the audience shares, the countries and languages it sits in, the gender and age split, and audience reachability: how many accounts each follower follows, from under 500 to over 1,500.
Countries are a fake-follower signal in their own right. Bought followers tend to cluster in a few markets that have nothing to do with the creator. And even a fully real audience is the wrong buy if it lives where you do not sell.
The report lists the sponsors detected on the account with the date of each partnership, then shows those paid posts next to the creator’s organic ones, with a comparison of how the paid posts perform against the organic average. That is the number that tells you what your own post is likely to do.
It also shows the brands this audience engages with more than the average audience on the platform, the hashtags the creator uses most and the accounts they mention most. Together they tell you who the creator has worked with, and whether a competitor got there first.
The report resolves the creator behind the handle and shows the other accounts they run, such as TikTok and Threads, plus contact info once you sign up. A creator with a consistent presence across platforms is rarely the one who bought an audience on just one of them.
Spotting the signs
The signals in the report, ranked by how reliably each one points to a fake or low-value audience.
| Signal | What to look for | Why it gives fakes away |
|---|---|---|
| High share of suspicious accounts | A large slice of followers with bot patterns or no history | The most direct read on how much of the audience was bought |
| Growth spike with no engagement lift | Thousands of followers in days, then a flat line | Organic growth follows posts. Bought growth follows a payment |
| Engagement below the median | A rate well under accounts of the same size | Fake followers never like, comment or share |
| Lopsided likes-to-comments ratio | Far more likes per comment than similar accounts get | Likes are cheap to buy. Real conversations are not |
| High share of mass followers | Many followers who follow 1,500+ accounts | Real people, but your post is one of thousands in their feed |
| Unexpected audience countries | Large audience shares in markets the creator never posts for | Bought followers cluster in a few countries |
Benchmarks
Some suspicious accounts are normal on every public profile, and the bigger the account, the more it collects without doing anything wrong. In the example report on this page, @khaby00 comes back at 68% real, active people, 16.7% mass followers and 9.9% suspicious accounts, on an audience of 78M.
Read the result in two steps. First, the real, active share: that is the audience you are paying to reach, and the number to price against. Second, whether the rest of the report backs up what you see. A high suspicious share with a growth spike and engagement under the median is a bought audience. The same share on an older account with steady growth is more often a following that has gone quiet over the years.
By platform
Fake audiences look different on every network, so the signals to read change with the platform.
Instagram is where bought followers are most common. Read the suspicious share first, then the likes-to-comments ratio, since padded likes are the cheapest add-on to a bought audience.
Instagram audit tool
TikTok runs on views, not followers, so a follower count says even less here. A big account with small, flat view counts is a stronger warning than a low engagement rate.
TikTok analyzer
Look at views per video against subscribers. A channel with 500k subscribers and 3k views per video either lost its audience or bought it, and the subscriber history shows which.
YouTube channel analyzerHow to use it
Pick the platform and drop in the username. No account and no credit card for your first checks.
The real, active share is the audience you are paying for. Note how much of the rest is suspicious and how much is mass followers.
Check engagement against the median and the follower history for spikes. When all three point the same way, you have your answer.
Before you pay
Creators price by follower count, so every fake follower is money spent on reach that does not exist. Run the check before you send a brief, not after the campaign underdelivers. Price against the real, active share, and use the paid vs organic comparison to see what a sponsored post on that account usually does.
Then check the fit. Enter your brand’s website in the audience fit box to see whether this audience matches the people you sell to. Look at the sponsors detected to see whether a competitor has paid the creator recently, and at where else they post, since a creator’s biggest audience is often not on the platform you searched.
The data
Every check is built from publicly available information, collected and analyzed from public sources across the open internet, plus partners who provide publicly available data. Nothing behind a login.
The audience breakdown is modeled rather than reported. We analyze a creator’s public engagers and followers over time, compare them against 340M+ creator profiles, and use statistics to estimate the share of real, mass, suspicious and creator accounts. It is an estimate of the audience as a whole, not a verdict on any single follower.
The same data powers the Influencers.club dashboard and our API. Full sourcing and refresh detail sits on our data page.
Free tool vs account
The free check tells you whether an audience is real. The full report tells you who is in it and how they behave.
| Capability | Free check | Influencers.club account |
|---|---|---|
| Follower breakdown: real, mass, suspicious, creators | Yes | Yes |
| Engagement authenticity and credibility score | Yes | Yes |
| Audience interests, countries and demographics | Yes | Yes |
| Follower history, benchmarks and brand signals | Yes | Yes |
| Deeper audience interests by sub-niche | Not included | Yes |
| Similar creators based on audience | Not included | Yes |
| Search 340M+ creators with 40+ filters | Not included | Yes |
| Enrich a list you already have, in bulk | Not included | Yes |
| Export lists with contact info | Not included | Yes, refreshed on export |
| Track creators as their numbers move | Not included | Yes |
| API access | Not included | Pro plans |
Sign up and get 10 free full reports, with deeper audience interests by sub-niche and similar creators based on audience. The same account lets you search 340M+ creators with 40+ filters, enrich the list you already have, export it with contact info and track the creators you work with.
No credit card, so you can run it on your own shortlist before you talk to anyone.
FAQ
Yes. Paste a handle and the check runs with no signup and no credit card. You get the full follower breakdown, engagement authenticity, audience data, growth and brand signals. Signing up adds 10 free full reports with deeper audience interests by sub-niche and similar creators based on audience. Sign up for free, no credit card needed.
Paste their handle into the checker and read three things in order: the share of real, active people versus suspicious accounts, the engagement rate against the median for accounts of the same size, and the follower history for sudden spikes. When all three point the same way, you have your answer. To check a whole shortlist instead of one handle at a time, create a free account and get 10 full reports.
Mass followers are real people who follow more than 1,500 accounts, so they see only a fraction of what they follow. Suspicious accounts show bot patterns or have no history, and are the ones most likely to have been bought. Neither group is the audience you are paying to reach, but only the second one points to a creator gaming their numbers.
Every public account has some suspicious followers, and larger accounts collect more without doing anything wrong. Focus on the real, active share, since that is the audience a post reaches, and treat a high suspicious share as a problem when it comes with a growth spike or engagement under the median.
The breakdown is a statistical estimate of the audience as a whole, built from public followers and engagers and compared against 340M+ creator profiles. It is accurate at the level you would use it, such as whether an audience is mostly real or not. It does not label individual followers, which is why the report shows engagement and growth next to it so you can confirm the result.
It is average likes divided by average comments. Likes are cheap to buy and comments are not, so a ratio far higher than similar accounts get suggests the likes were padded. It is shown in the engagement authenticity section next to the credibility score.
Yes. Pick the platform from the dropdown before you paste the handle. On TikTok and YouTube, compare average views to the follower or subscriber count as well, since views are much harder to fake at scale than followers.
Yes. The report lists the sponsors detected on the account with the date of each partnership, shows the sponsored posts, and compares how paid posts perform against the creator’s organic average.
Yes. The checker works on any public profile, including your own. It is a quick way to see how a brand will read your audience before you pitch them.
The checker does not change anything on an account. On Instagram, you can remove followers one at a time from your followers list. Start with accounts that have no profile picture, no posts and a username made of random characters.
No. The checker only works on public profiles. If an account is private there is no public data to analyze, and you will get a message telling you so.
Publicly available information, collected and analyzed from public sources across the open internet, plus partners who provide publicly available data. Nothing behind a login. The audience breakdown is modeled by analyzing a creator’s public followers and engagers over time and extrapolating statistically.
Yes. Audience data is available through the Influencers.club API as structured JSON. Onboarding is self serve with free credits, so you can build against it without a sales call. Sign up for free to start. API access comes with Pro plans.