Jeff Geerling covers macOS/Apple, hardware, Raspberry Pi, open source, cloud native, and automation topics through tutorials, open-source project explorations, and hardware builds. Content style includes deep-dives and practical how-tos, with a mix of long-form tutorials and project-focused videos, regularly publishing about 1.5 uploads per week and averaging roughly 320K views per video. The channel combines development, networking, and hardware tinkering across Linux, Kubernetes, and embedded systems.
Similar Channels
We found 46 YouTube channels similar to Jeff Geerling
raspberry pi projectsnix open sourceraspberry pi robotics
Both target tech enthusiasts with hands-on hardware projects and open source focus, sharing strong search overlap on queries like raspberry pi projects and open source hardware, though Fireship's format is more quick, viral tutorials (content similarity 80%).
ai hardware accelerationai and open sourceedge computing devices
Targets AI hardware acceleration and edge devices, aligning with Geerling’s open source and hardware experimentation angle; has substantial search overlap (47%) and high content similarity (74%) through practical hardware/edge contexts.
single board computerraspberry pi roboticsedge computing devices
Covers single-board computers and Raspberry Pi robotics with an emphasis on hardware and edge computing, yielding notable search overlap (37%) and very high content similarity (78%).
raspberry pi projectsopen source hardwaresingle board computer
Shares interest in Raspberry Pi projects and open source hardware, attracting a broad tech audience with significant search overlap (35%) and strong content alignment (78%) in hardware-focused topics.
Focuses on tiny AI computers and compact hardware platforms, aligning with Geerling’s niche of open hardware and AI-friendly devices; moderate search overlap (31%) but high content similarity (77%).
Content Landscape
Competitors identified include Fireship (88% match) and The Wrench (64% match) as the closest rivals. Fireship overlaps on raspberry pi projects, nix open source, and raspberry pi robotics, while The Wrench centers on a DIY clock project. IBM Technology (63% match) overlaps on ai hardware acceleration and edge/open source devices, and ExplainingComputers (62% match) covers single board computers, raspberry pi robotics, and edge computing. Linus Tech Tips (61% match) also competes on raspberry pi projects, open source hardware, and single board computers. Jeff Geerling has 1.1M subscribers, which is far smaller than Fireship (4.1M), The Wrench (2.1M), IBM Technology (1.6M), ExplainingComputers (1.2M), and Linus Tech Tips (16.8M), reflecting a substantial gap in audience size despite overlapping topics.
raspberry pi projectsembedded systemsopen source hardwaresingle board computerhome lab electronicsDIY clock projectai hardware accelerationnix open sourceraspberry pi roboticstiny ai computeropen source robotsnlp on edgevhdl clock designhardware hacking hobbyistai and open sourcemicrocontroller programmingedge computing deviceslow power computingembedded linux projectsopen source firmware
Frequently Asked Questions
Which YouTube channels are most similar to Jeff Geerling?
Fireship — 88% match, 4.1M subscribers; The Wrench — 64% match, 2.1M subscribers; IBM Technology — 63% match, 1.6M subscribers. All three have in common a focus on tech topics, including programming, infrastructure, and modern computing hardware, aligning with Jeff Geerling's channel content.
What type of content does Jeff Geerling make?
Jeff Geerling creates hardware, software, and cloud/infra content, with video titles like AI is destroying open source, Testing Hugging Face's Raspberry Pi-powered open source robot, and Raspberry Pi Laptop: Great execution, terrible timing. He uploads about 1.5 videos per week, with an average view count of 319.7K per video.
How do we determine which channels are similar to Jeff Geerling?
We analyze Jeff Geerling'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.
