We found 46 YouTube channels similar to NeuralNine
Both target viewers seeking practical AI and ML tutorials and projects, with high search overlap on queries like machine learning fundamentals and AI programming projects, and strong content alignment (77%), indicating similar instructional focus and project-based videos.
Shares a large audience around machine learning fundamentals, deep learning with python, and AI programming projects; high search overlap (90%) and solid content similarity (80%) reflect comparable in-depth, long-form tutorials despite differing brand scale.
Connects on the ML fundamentals and neural networks basics with practical tutorials (e.g., PyTorch), showing similar topic coverage, though IBM’s content style is more enterprise-focused than NeuralNine’s personal-tech approach.
Aligns on machine learning fundamentals and neural networks basics with beginners-friendly data science content, evidenced by a strong search signal and good content overlap, signaling overlapping audience and subject matter.
Shares AI programming projects and Python-related extensions content, with substantial search overlap but differing emphasis on Python programming tutorials; NeuralNine and Tech With Tim both attract Python/AI learners.
Mirrors NeuralNine on Python programming tutorials and AI projects, exhibiting similar search interest for deep learning with python and projects, while Mosh’s style leans more instructor-led coding basics.
40 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 58% | StatQuest with Josh Starmer | 69% | 1.6M | 42% | 8 |
| #8 | 57% | NeetCode | 80% | 1.1M | 24% | 7 |
| #9 | 57% | edureka! ▶ | 78% | 4.4M | 26% | 9 |
| #10 | 57% | codebasics | 77% | 1.5M | 26% | 7 |
| #11 | 57% | ForrestKnight | 78% | 688K | 25% | 7 |
| #12 | 56% | 3Blue1Brown ▶ | 70% | 8.2M | 34% | 6 |
| #13 | 55% | The Coding Sloth ▶ | 82% | 593K | 15% | 3 |
| #14 | 55% | Indently | 74% | 342K | 27% | 9 |
| #15 | 54% | ArjanCodes | 81% | 321K | 14% | 6 |
| #16 | 54% | Rob Mulla | 82% | 220K | 13% | 3 |
| #17 | 54% | Daniel | 80% | 5.4K | 14% | 2 |
| #18 | 53% | AssemblyAI | 80% | 180K | 13% | 3 |
| #19 | 53% | Alamin | 80% | 65.6K | 12% | 1 |
| #20 | 53% | Python Simplified | 79% | 281K | 13% | 3 |
| #21 | 52% | Kantan Coding | 76% | 76.1K | 17% | 2 |
| #22 | 52% | Infinite Codes | 75% | 128K | 17% | 4 |
| #23 | 52% | Edge Impulse | 74% | 17.2K | 19% | 2 |
| #24 | 51% | Weights & Biases | 79% | 64.5K | 10% | 1 |
| #25 | 51% | Andy Stapleton | 76% | 363K | 14% | 5 |
| #26 | 51% | Dreams of Code ▶ | 72% | 204K | 20% | 3 |
| #27 | 51% | Open Data Science and AI Conference | 79% | 19.7K | 10% | 1 |
| #28 | 51% | Julian Goldie SEO | 79% | 351K | 10% | 1 |
| #29 | 51% | Programming and Math Tutorials | 78% | 79.9K | 10% | 1 |
| #30 | 51% | Begin Secure | 76% | 11.6K | 12% | 3 |
| #31 | 51% | Sajjaad Khader | 75% | 272K | 15% | 5 |
| #32 | 50% | Python Programmer | 76% | 782K | 11% | 2 |
| #33 | 50% | TensorFlow | 77% | 617K | 10% | 3 |
| #34 | 50% | Alex Hyett | 76% | 72.8K | 12% | 3 |
| #35 | 50% | Intellipaat | 74% | 12.8M | 14% | 7 |
| #36 | 49% | Bro Code | 75% | 3.2M | 11% | 3 |
| #37 | 49% | Daniel Boctor | 75% | 86.5K | 11% | 2 |
| #38 | 49% | Shaw Talebi | 76% | 91.2K | 9% | 3 |
| #39 | 49% | Jeremy Shanks | 73% | 1.6K | 12% | 1 |
| #40 | 49% | Awesome | 73% | 121K | 12% | 2 |
| #41 | 47% | Visme | 72% | 237K | 10% | 1 |
| #42 | 46% | CrashCourse ▶ | 70% | 16.9M | 12% | 4 |
| #43 | 46% | Graphics in 5 Minutes | 70% | 32.3K | 10% | 1 |
| #44 | 46% | Digital Transformation with Eric Kimberling ▶ | 71% | 549K | 8% | 1 |
| #45 | 45% | Academic English Now | 69% | 175K | 10% | 2 |
| #46 | 45% | Futurology — An Optimistic Future | 69% | 103K | 8% | 2 |
NeuralNine's biggest YouTube competitors are Fireship (86% match, 4.1M subscribers), freeCodeCamp.org (84% match, 11.5M subscribers), and IBM Technology (75% match, 1.6M subscribers). They share a focus on programming, software development, and technology education similar to NeuralNine's emphasis on Python, machine learning, and coding tutorials.
NeuralNine creates programming- and machine learning–focused content, with video titles like Intelligent AI Chatbot in Python, Coding An Image Search Engine in Python, Coding A Linux Soundboard From Scratch in Python, and Pydantic AI Crash Course: Agentic Framework For Production. The channel averages about 99.8K views per video and posts content regularly, with an implied upload cadence of multiple videos per week.
We analyze NeuralNine'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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