Scripting scammers YouTube channel thumbnail

Subscribers 10.2K

Videos 598

Views 3.9M

Channels Like Scripting scammers

Scripting scammers focuses on exposing brain rot scammers and related online scam content. Based on titles like 'Somebody is stealing my videos', 'Exposing a group of friends', and 'Met a old og fan', along with search queries such as scam channel exposed and calling out scammers, the channel leans toward commentary and investigation-style content with a mix of short and longer videos (average ~8 minutes) and an average of about 159 views per video. Upload frequency is about 4.4 uploads per week, with 598 videos published since joining in 2025.

AI summary

Similar Channels

We found 45 YouTube channels similar to Scripting scammers

#1

NanoBaiter

67% relevance

Subscribers 1.2M

Videos 24

Views 128.7M

Appearances 20

SERP 62%

Similarity 70%

scam channel exposed scammer investigation videos calling out scammers

High audience overlap on scam-revealing content (search 62%, content 70%) and a focus on scammer exposure and investigations, indicating a similar genre and style to Scripting scammers.

AI summary

#2

Kitboga

54% relevance

Subscribers 3.9M

Videos 580

Views 816.9M

Appearances 12

SERP 31%

Similarity 69%

calling out scammers scammer exposed videos calling out fraudsters

Strong alignment in content with scammer confrontation and exposure (content 69%), plus frequent 'calling out scammers' and fraudsters queries (search 31%), showing a parallel approach to baiting and exposing scams.

AI summary

#3

Trilogy Media

51% relevance

Subscribers 1.8M

Videos 1.1K

Views 222.8M

Appearances 5

SERP 23%

Similarity 69%

scammer investigation videos online scammer confrontations petty scammer stories

Similar emphasis on scammer investigations and online confrontations (content 69%), with user queries about scammer stories, reflecting a comparable expose-and-confront format.

AI summary

Tyler Oliveira YouTube channel thumbnail

#4

Tyler Oliveira view on YouTube ▶

49% relevance

Subscribers 9.2M

Videos 630

Views 2.4B

Appearances 5

SERP 16%

Similarity 71%

calling out scammers rom scams exposed

Shares focus on calling out scammers and exposing rom scams (content 71%), aligning with Scripting scammers’ anti-scam narrative and investigative tone.

AI summary

#5

Scams & Frauds

49% relevance

Subscribers 19.9K

Videos 77

Views 3.4M

Appearances 6

SERP 24%

Similarity 66%

online scam alerts online scam warnings scam alert reports

Overlaps in content around online scam alerts and warnings (content 66%), matching the warning-oriented angle and scam notification niche.

AI summary

#6

mo

49% relevance

Subscribers 239K

Videos 2K

Views 117.7M

Appearances 1

SERP 9%

Similarity 76%

fake accounts exposed

Audience overlap on fake accounts exposed (content 76%), indicating similar investigative content and exposure-focused style targeting scams.

AI summary

Content Landscape

Top competitors include NanoBaiter (67% match) and Kitboga (54% match). They share overlapping queries such as 'scam channel exposed', 'scammer investigation videos', and 'calling out scammers'. Trilogy Media (51% match) and Tyler Oliveira (49% match) are also close competitors, aligning on 'scammer investigation videos' and 'online scammer confrontations'. Scripting scammers has 10.2K subscribers, while NanoBaiter (1.2M), Kitboga (3.9M), Trilogy Media (1.8M), and Tyler Oliveira (9.2M) all have significantly larger audiences. The common thread across these competitors is addressing online scams and exposing or confronting scammers through commentary and investigative content.

AI summary

Video Highlights

Didn't Make the Cut

39 additional channels that were close

Rank	Relevance	Channel	Similarity	Subscribers	SERP	Appearances
#7	48%	IRLrosie	71%	1.6M	13%	4
#8	48%	Boda Scambaits	76%	17.7K	6%	1
#9	48%	Scambaiter	73%	2.7M	10%	5
#10	47%	ScamBait Central Extra	74%	6.5K	7%	2
#11	46%	JJJacksfilms	73%	775K	6%	2
#12	46%	Mark Rober ▶	69%	73.8M	12%	8
#13	46%	National Crime Prevention Council	67%	2.5K	15%	5
#14	46%	Pleasant Green ▶	69%	1.4M	11%	6
#15	45%	Atomic Shrimp ▶	68%	1.1M	11%	6
#16	45%	Jim Browning	70%	4.4M	8%	5
#17	45%	Coffeezilla ▶	71%	4.5M	6%	2
#18	44%	Charlotte Dobre ▶	68%	2.5M	9%	1
#19	44%	Big Think ▶	63%	8.6M	17%	3
#20	44%	Rossen Reports	65%	538K	12%	5
#21	44%	Fraud Squad	68%	49.9K	7%	1
#22	44%	M.A.Z lifestyle	66%	6.4K	10%	2
#23	44%	DUTY LENS	68%	2.3K	7%	1
#24	43%	ThioJoe ▶	64%	3.1M	12%	5
#25	43%	NBC News ▶	62%	11.8M	13%	4
#26	43%	Patrick Cc: ▶	65%	2.4M	9%	1
#27	43%	PettyPranks	66%	222K	8%	2
#28	43%	Aura	65%	7.6K	9%	6
#29	42%	The Scam Report	65%	8.3K	8%	2
#30	42%	Infamous Ghost Money	64%	43.1K	8%	2
#31	41%	YOLENO TV	65%	80K	6%	1
#32	41%	Kyle Hill ▶	62%	2.8M	10%	2
#33	41%	The Evaluator ▶	64%	713K	8%	2
#34	41%	vpro documentary	65%	373K	6%	1
#35	41%	Cathy Pedrayes	64%	91K	7%	1
#36	40%	FOX5 Las Vegas	63%	416K	6%	2
#37	40%	BBC ▶	62%	15.4M	6%	1
#38	40%	FedPayments Improvement	61%	2.9K	7%	4
#39	39%	Tom's Key Company	61%	32.7K	7%	1
#40	39%	CBS Mornings	60%	3.3M	8%	2
#41	39%	Infosec	59%	90.3K	9%	2
#42	39%	CBS News ▶	60%	7.0M	8%	4
#43	37%	WKYC Channel 3	57%	537K	7%	1
#44	37%	ABC News ▶	57%	19.4M	7%	5
#45	37%	Western Union	58%	128K	6%	1

Search Queries Used

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Frequently Asked Questions

Which YouTube channels are most similar to Scripting scammers?

NanoBaiter (67% match, 1.2M subscribers), Kitboga (54% match, 3.9M subscribers), and Trilogy Media (51% match, 1.8M subscribers). They share a focus on exposing scams or scam-related content and engage audiences with investigative or watchdog-style videos.

What type of content does Scripting scammers make?

Scripting scammers creates content that appears to expose scams or questionable behavior, based on video titles like 'Somebody is stealing my videos ..', 'Exposing a group of friends', and 'Watch me get 5.6k subs'. They upload about 4.4 times per week, with an average of 159 views per video.

How do we determine which channels are similar to Scripting scammers?

We analyze Scripting scammers's recent videos, generate topic-relevant search queries, check YouTube search results, and compare the meaning of each channel's content to measure similarity. The result is a ranked list sorted by SERP overlap, semantic similarity, and search appearances.

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