We found 43 YouTube channels similar to Code.org
Both channels target audiences interested in AI concepts and ethics and rank for queries like artificial intelligence ethics and machine learning basics, reflecting thematic overlap though IBM Technology leans more toward enterprise AI applications in its content.
Both cover computer science education and AI ethics, with strong search alignment on those topics, and TEDx Talks’ broader storytelling approach complements Code.org’s educational focus through similar subject matter.
Like Code.org, TED discusses AI in schools and AI ethics, matching on key queries though TED’s format is more talks-based and wide-ranging, contributing to audience overlap in AI education topics.
Shares emphasis on machine learning basics and neural networks, aligning with Code.org on core AI topics, though Simplilearn presents more structured courses and depth for learners.
Both address artificial intelligence basics and ethics, plus computer vision topics, but OCW provides university-level course material while Code.org focuses on beginner-friendly education for a younger audience.
Overlaps on AI privacy and data privacy in AI, indicating audience interest in ethics and safeguards, though Harper Carroll AI tends to be more privacy- or policy-oriented while Code.org centers on education.
37 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 54% | Jeff Su ▶ | 82% | 1.6M | 13% | 4 |
| #8 | 53% | 3Blue1Brown | 75% | 8.2M | 21% | 5 |
| #9 | 53% | The Coding Sloth | 81% | 593K | 11% | 3 |
| #10 | 52% | World Knowledge Forum | 80% | 217K | 11% | 3 |
| #11 | 52% | Common Sense Education | 84% | 113K | 4% | 2 |
| #12 | 51% | AI Sciences | 80% | 36.8K | 7% | 2 |
| #13 | 51% | 365 Data Science | 76% | 368K | 13% | 2 |
| #14 | 51% | CrashCourse ▶ | 72% | 16.9M | 19% | 6 |
| #15 | 51% | freeCodeCamp.org ▶ | 79% | 11.5M | 8% | 6 |
| #16 | 51% | codebasics | 78% | 1.5M | 10% | 6 |
| #17 | 50% | Stanford Online | 78% | 1.1M | 8% | 4 |
| #18 | 50% | 74% | 14M | 13% | 4 | |
| #19 | 49% | Johannes Jolkkonen | Funktio AI | 79% | 7.9K | 5% | 2 |
| #20 | 49% | Tech With Tim | 78% | 2.0M | 5% | 4 |
| #21 | 48% | Microsoft Education | 74% | 120K | 9% | 2 |
| #22 | 47% | StatQuest with Josh Starmer | 71% | 1.6M | 11% | 4 |
| #23 | 47% | McCombs School of Business ▶ | 73% | 39.8K | 8% | 3 |
| #24 | 47% | Experian | 76% | 3.3K | 4% | 2 |
| #25 | 47% | edureka! ▶ | 75% | 4.4M | 5% | 2 |
| #26 | 46% | Fireship ▶ | 73% | 4.1M | 7% | 2 |
| #27 | 46% | ForrestKnight | 73% | 688K | 6% | 2 |
| #28 | 46% | Cole Hastings | 68% | 847K | 12% | 4 |
| #29 | 46% | Michigan Virtual | 73% | 5.1K | 4% | 3 |
| #30 | 45% | CBS Mornings | 66% | 3.3M | 15% | 4 |
| #31 | 45% | Smile and Learn - English | 71% | 2.2M | 5% | 3 |
| #32 | 45% | UNESCO ▶ | 67% | 533K | 11% | 4 |
| #33 | 44% | Learn Bright | 70% | 896K | 6% | 1 |
| #34 | 44% | MaRS Discovery District | 68% | 2.6K | 7% | 3 |
| #35 | 43% | LearningMole | 69% | 272K | 5% | 2 |
| #36 | 42% | Lakeshore Learning | 67% | 22.4K | 6% | 1 |
| #37 | 42% | The Wall Street Journal ▶ | 66% | 6.6M | 7% | 2 |
| #38 | 42% | icivics | 66% | 5.5K | 6% | 1 |
| #39 | 41% | Business Today | 63% | 3M | 10% | 3 |
| #40 | 41% | Turning Point USA | 65% | 6.7M | 6% | 1 |
| #41 | 41% | SammyJam | 64% | 123K | 7% | 1 |
| #42 | 39% | TODAY ▶ | 61% | 5.0M | 6% | 2 |
| #43 | 39% | PBS NewsHour ▶ | 60% | 5.2M | 6% | 5 |
Code.org's biggest competitors on YouTube are IBM Technology (88% match, 1.6M subscribers), TEDx Talks (76% match, 44.2M subscribers), and TED (67% match, 27.2M subscribers). They share a focus on educational tech and broad tech/philosophical topics, delivering informational or instructional content aimed at a wide audience.
Code.org creates educational and explanatory content about computer science, AI, machine learning, and related topics, with video titles such as 'How AI Works' (282.8K views), 'What is Machine Learning?' (235.8K views), 'AI: Training Data & Bias' (252.6K views), and 'How Neural Networks Work' (187.9K views). The channel averages 144.4K views per video and posts content with an implied weekly upload cadence (average views per video provided; uploads per week not specified).
We analyze Code.org'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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