The Coding Gopher YouTube channel thumbnail
The Coding Gopher
Subscribers 56.6K
Videos 151
Views 2.9M

Channels Like The Coding Gopher

The Coding Gopher delivers computer science and software engineering content on YouTube, with tutorials and explainers covering topics like sockets, containers, databases, compilers, and programming concepts. The channel features a mix of deep-dives and explainers (e.g., Docker, Redis, HTTP servers, and various compiler discussions) and uploads at about 1.3 per week, averaging roughly 144.1K views per video. It has 56.6K subscribers and 2.9M total views, with ongoing activity since joining YouTube on Oct 3, 2024.

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Similar Channels

We found 48 YouTube channels similar to The Coding Gopher

ByteByteGo YouTube channel thumbnail
#1

85% relevance

Subscribers 1.4M
Videos 163
Views 59.3M
Appearances 12
SERP 100%
Similarity 75%
distributed systems container orchestration web tokens explained

Both target developers with deep dives into systems topics (distributed systems, container orchestration) and share strong overlap in search terms like distributed systems while ByteByteGo’s content depth aligns with The Coding Gopher’s technical focus (85% match: high search overlap, content alignment at 75%).

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Fireship YouTube channel thumbnail
#2

79% relevance

Subscribers 4.1M
Videos 790
Views 673.5M
Appearances 11
SERP 79%
Similarity 79%
database fundamentals functional programming concepts compilers explained

They attract a similar tech-enthusiast audience with queries on fundamentals (database fundamentals, functional programming) and concepts (compilers explained), and their overall match is driven by sizable search overlap and substantial content coverage (79% match).

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Computerphile YouTube channel thumbnail
Subscribers 2.6M
Videos 894
Views 234.4M
Appearances 9
SERP 60%
Similarity 76%
functional programming concepts compilers explained interpreters vs compilers

Appeals to learners interested in programming concepts (functional programming concepts, interpreters vs compilers) and compilers-related topics, producing solid audience overlap though slightly lower search alignment than some peers and strong content coverage (69% match).

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ByteMonk YouTube channel thumbnail
#4

68% relevance

Subscribers 337K
Videos 492
Views 14.0M
Appearances 6
SERP 53%
Similarity 78%
socket programming distributed systems web tokens explained

Compares on distributed systems, socket programming, and web tokens explained, yielding meaningful audience crossovers with similar technical tutorials, reflected in a solid 68% match with strong content similarity (78%).

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freeCodeCamp.org YouTube channel thumbnail
Subscribers 11.5M
Videos 2.1K
Views 954.1M
Appearances 10
SERP 52%
Similarity 77%
database fundamentals functional programming concepts web tokens explained

Both cover database fundamentals and functional programming concepts with the same kind of explanatory style on tokens and fundamentals, generating broad educational overlap and strong content alignment (67% match).

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Neso Academy YouTube channel thumbnail
#6
Neso Academy

66% relevance

Subscribers 3.1M
Videos 2.9K
Views 773.2M
Appearances 10
SERP 65%
Similarity 66%
compilers explained interpreters vs compilers network protocol fundamentals

Targets learners with topics on compilers, interpreters vs compilers, and network protocol fundamentals, creating comparable curricular scope and solid overlap in both searches and content (66% match).

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Content Landscape

Top competitors by match strength are ByteByteGo (85% match) and Fireship (79% match). ByteByteGo overlaps on distributed systems, container orchestration, and web tokens explained; Fireship overlaps on database fundamentals, functional programming concepts, and compilers explained. Computerphile (69% match) also competes on functional programming concepts, compilers explained, and interpreters vs compilers. ByteMonk (68% match) and freeCodeCamp.org (67% match) share queries around socket programming, distributed systems, web tokens, and database/functionality topics. The Coding Gopher’s subscriber base (56.6K) is smaller than all listed competitors, with the closest among them being ByteMonk (337K) and Computerphile (2.6M) in size. All identified competitors compete for similar queries such as distributed systems, compilers explained, and web tokens explained, indicating a shared focus on core programming concepts and practical technical topics.

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Video Highlights

Recent content from similar channels

Didn't Make the Cut

42 additional channels that were close

Rank Relevance Channel Similarity Subscribers SERP Appearances
#7 66% Coding with John
73% 424K 54% 3
#8 65% CodeLucky 64% 7.4K 68% 12
#9 61% Ben Dicken
78% 53.8K 34% 4
#10 60% WhiteboardDoodles
78% 60.3K 32% 3
#11 59% IBM Technology 73% 1.6M 39% 3
#12 59% GOTO Conferences
77% 1.1M 31% 4
#13 58% Core Dumped 82% 470K 21% 5
#14 57% Adam McDaniel (kiwi)
70% 11.8K 39% 2
#15 57% Learn with Whiteboard
76% 96.7K 29% 2
#16 55% Nic Barker 77% 60.5K 23% 2
#17 55% Tom Delalande
79% 58.1K 19% 2
#18 55% Ariel Weinberger
77% 14K 21% 1
#19 54% Boot dev 79% 142K 16% 2
#20 54% TechPrep
72% 74.9K 26% 4
#21 53% Syntax 78% 465K 17% 1
#22 53% A Byte of Code
76% 21.6K 19% 2
#23 53% JAX London
77% 2.4K 17% 1
#24 53% Dave's Garage 75% 1.1M 20% 2
#25 53% Tech With Tim 74% 2.0M 21% 5
#26 53% Tech Vision
74% 29.9K 21% 1
#27 52% bigboxSWE 76% 266K 17% 1
#28 52% Daedalus Community
72% 31.2K 21% 1
#29 52% Java
75% 266K 16% 5
#30 52% Ivan talks about computers
75% 2.4K 17% 1
#31 51% Privacy Matters
71% 156K 21% 1
#32 51% System Design School
73% 19.6K 18% 2
#33 51% Coding Mentors
72% 1.8K 19% 2
#34 51% Bits and Bytes TVO
65% 11.9K 29% 2
#35 50% Tsoding Daily 70% 205K 19% 3
#36 50% Brendan Dickinson
69% 5.1K 21% 1
#37 50% Let's Get Rusty 72% 167K 16% 3
#38 49% Online Tech Tips
68% 33K 21% 1
#39 49% HashiCorp, an IBM Company
68% 71.7K 21% 1
#40 49% Edmond Ayandow
71% 6.7K 17% 1
#41 48% Web Dev Simplified 69% 1.8M 17% 3
#42 48% Riya Arora
69% 3.6K 17% 1
#43 48% Frame of Essence
69% 176K 18% 2
#44 48% Gate Smashers
67% 2.6M 20% 5
#45 48% Nate Herk | AI Automation 69% 568K 15% 3
#46 47% Collaboration Simplified
67% 80.2K 17% 1
#47 47% Konstantin Vladimirov
66% 33.3K 17% 1
#48 44% in5minutes
62% 12.2K 17% 1

Search Queries Used

socket programming distributed systems database fundamentals functional programming concepts compilers explained container orchestration interpreters vs compilers hardware accelerators explained web tokens explained just in time compilation version control basics multithreading explained programming languages comparison RPC concepts garbage collection explained systems programming basics concurrency models explained software architecture patterns distributed tracing basics consensus algorithms overview asynchronous programming concepts serialization formats compare network protocol fundamentals runtime optimizations tips memory management fundamentals garbage collection tuning semantic versioning explained build automation workflows compiler design principles lambdas vs closures functional programming benefits monads explained simply operating systems concepts overview process synchronization techniques kernel vs user space

Frequently Asked Questions

Which YouTube channels are most similar to The Coding Gopher?

The Coding Gopher's biggest competitors on YouTube are ByteByteGo (85% match, 1.4M subscribers), Fireship (79% match, 4.1M subscribers), and Computerphile (69% match, 2.6M subscribers). They share a focus on software engineering topics, programming concepts, and developer education similar to The Coding Gopher.

What type of content does The Coding Gopher make?

The Coding Gopher creates educational software engineering content, with video titles like 99% of Developers Don't Get Sockets, Docker vs. Kubernetes: The ONLY Video You Need to Finally Understand Containers!, and 99% of Developers Don't Get PostgreSQL. The channel uploads about 1.3 videos per week and averages 144.1K views per video.

How do we determine which channels are similar to The Coding Gopher?

We analyze The Coding Gopher'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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