We found 47 YouTube channels similar to Jon Gjengset
High search overlap on rust intermediate, rust tutorials, and rust macro programming (87% match) while their content emphasizes practical Rust tutorials, aligning with Gjengset's audience though with a distinct tutorial style.
Significant audience overlap through rust tutorials and rust macro programming (58% match) and Rust async/await topics, indicating shared interest in Rust language features despite different delivery style.
Similar emphasis on rust macro programming and lifetime topics (57% match) suggesting a shared Rust-focused audience, though their content leans more into lifetimes than Gjengset's typical explanations.
Comparable interest in rust intermediate topics and macro programming (55% match) with Gjengset's audience drawn to Rust depth, but Code to the Moon may present with a different pacing and examples.
Overlap on rust intermediate and tutorials (54% match) plus a focus on subtyping variance, indicating a similar Rust-learning audience though Dart/A/B content style differs.
Shared searches on rust async await and dispatch/ownership concepts (54% match) aligning on advanced Rust topics, but Trevor's approach diverges in emphasis on systems-oriented tooling.
41 additional channels that were close
| Rank | Relevance | Channel | Similarity | Subscribers | SERP | Appearances |
|---|---|---|---|---|---|---|
| #7 | 52% | Rust Programming Language | 80% | 69.2K | 11% | 14 |
| #8 | 52% | Max Taylor | 82% | 1.8K | 7% | 8 |
| #9 | 52% | timClicks | 83% | 11K | 6% | 8 |
| #10 | 52% | Semicolon | 82% | 5.9K | 7% | 8 |
| #11 | 52% | Logan Smith | 79% | 40.3K | 12% | 10 |
| #12 | 52% | Green Tea Coding | 83% | 6.3K | 5% | 10 |
| #13 | 52% | fasterthanlime | 82% | 57.9K | 7% | 9 |
| #14 | 52% | RustNL | 83% | 5.7K | 5% | 3 |
| #15 | 51% | Jeremy Chone | 81% | 32.1K | 5% | 6 |
| #16 | 50% | Oliver Jumpertz | 82% | 3.4K | 3% | 1 |
| #17 | 50% | RustLab Conference | 82% | 5.2K | 3% | 3 |
| #18 | 50% | Fio's Quest | 80% | 2.4K | 6% | 6 |
| #19 | 50% | Rust Foundation | 82% | 6.1K | 2% | 5 |
| #20 | 50% | EuroRust | 81% | 4.5K | 2% | 3 |
| #21 | 49% | Francesco Ciulla | 79% | 343K | 4% | 6 |
| #22 | 49% | The Dev Method | 78% | 7.3K | 7% | 7 |
| #23 | 49% | Jacob Pradels | 75% | 7.1K | 10% | 5 |
| #24 | 48% | Sreekanth | 76% | 11K | 6% | 6 |
| #25 | 48% | developerlife․com | 78% | 1.0K | 3% | 2 |
| #26 | 48% | RareSkills | 78% | 2.5K | 3% | 1 |
| #27 | 48% | Smart Contract Programmer | 75% | 66K | 7% | 8 |
| #28 | 47% | The PrimeTime | 72% | 1.1M | 9% | 13 |
| #29 | 46% | Fireship ▶ | 71% | 4.1M | 9% | 9 |
| #30 | 46% | Tsoding Highlights | 73% | 8.9K | 6% | 2 |
| #31 | 45% | BekBrace | 74% | 44.5K | 3% | 2 |
| #32 | 45% | Krimlux | 74% | 3.6K | 3% | 1 |
| #33 | 45% | NDC Conferences | 72% | 218K | 4% | 4 |
| #34 | 45% | STELIC | 73% | 53K | 4% | 5 |
| #35 | 45% | Open Source | 66% | 3.5K | 13% | 16 |
| #36 | 45% | ThePrimeagen ▶ | 73% | 541K | 2% | 2 |
| #37 | 45% | Computerphile | 73% | 2.6M | 2% | 4 |
| #38 | 45% | leddoo | 69% | 15.7K | 9% | 5 |
| #39 | 44% | GOTO Conferences | 71% | 1.1M | 5% | 5 |
| #40 | 44% | bigboxSWE ▶ | 72% | 266K | 3% | 4 |
| #41 | 43% | DigiKey | 70% | 208K | 3% | 3 |
| #42 | 43% | Dreams of Code ▶ | 68% | 204K | 4% | 6 |
| #43 | 43% | Code Geek | 69% | 8.6K | 3% | 2 |
| #44 | 42% | mithradates | 68% | 11.3K | 4% | 2 |
| #45 | 42% | Serket Studios | 68% | 3.1K | 4% | 1 |
| #46 | 41% | Low Level ▶ | 65% | 1.1M | 7% | 8 |
| #47 | 41% | Leviticus | 66% | 169K | 3% | 1 |
Let’s Get Rusty — 87% match, 167K subscribers; No Boilerplate — 58% match, 289K subscribers; Rustfully — 57% match, 12K subscribers. All three channels focus on Rust programming content and related tutorials or demonstrations, aligning with Jon Gjengset’s Rust live-coding and educational niche.
Jon Gjengset creates Rust programming content, including topics like lifetime annotations, declarative macros, iterators, and smart pointers with interior mutability, as seen in video titles. His channel has an average of 116.6K views per video, and the stated uploads are weekly, based on the provided average views per video and the note about uploads per week.
We analyze Jon Gjengset'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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