Aleksandar Haber PhD offers tutorials and educational content focused on robotics programming, circuit simulation (LTspice), time-domain and RL circuit analysis, and computer vision model installation. Content style appears tutorial-heavy, with multiple step-by-step guides and practical demonstrations, as evidenced by video titles such as 'Fanuc Robot Tutorial', 'LTspice Tutorial', and 'Time-domain Simulation in LTspice'. The channel posts content in an instructional format and has an average view count around 12K per video, with 54.9K subscribers and 5.7M total views since joining in October 2011.
Similar Channels
We found 46 YouTube channels similar to Aleksandar Haber PhD
High search overlap on robot programming and industrial robotics tutorials (100% search similarity) and content that aligns with tutorials, matching 74% content similarity to Aleksandar Haber PhD's robotics teaching focus.
circuit simulation softwareelectronics simulation tutorialsedge AI for robotics
Strong overlap in electronics and circuit topics (76% search similarity) and edge AI for robotics content (68% similarity), indicating a shared interest in robotics-related simulations and hardware topics.
Identical core topics in robot programming and industrial robotics tutorials (both 67% for search and content), signaling a very similar audience and tutorial-focused approach.
RL circuit time responsetransient circuit analysiscircuit time response
Shares an audience interested in circuit time response and RL transient analysis (content similarity 69%), with moderate search overlap (51%), reflecting related electronics analysis content rather than robotics teaching.
transient analysisRL circuit time responsetransient circuit analysis
Overlaps on transient analysis topics like RL circuit time response (content 67%) but diverges in primary subject matter, as their channel focuses on chemistry; nonetheless, audience interest in transient electrical concepts aligns moderately with Haber’s robotics-focused tutorials.
Content aligns on circuit simulation and neural networks robotics (content 76%), with substantial search overlap (38%), indicating shared topics in simulations and AI for robotics rather than direct teaching style.
Content Landscape
Top competitors by match strength are learnchannel (85% match) and ToP Projects Compilation (71% match), both sharing overlapping queries like robot programming, robot teach method, and circuit/ electronics simulation. ABAGY ROBOTIC WELDING (67% match) also aligns with robot programming topics. Michel van Biezen (62% match) and The Organic Chemistry Tutor (61% match) contribute to overlaps around RL circuit time response and transient analysis. Aleksandar Haber PhD has 54.9K subscribers, smaller than Michel van Biezen (1.2M) and The Organic Chemistry Tutor (10.5M) but larger than ABAGY ROBOTIC WELDING (5.2K). Competitors share queries related to circuit simulation software, RL circuit/time-domain analysis, and robot programming topics, indicating a competitive space around engineering tutorials and electronics/robotics education.
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Frequently Asked Questions
Which YouTube channels are most similar to Aleksandar Haber PhD?
learnchannel (128K subscribers) with 85% match, ToP Projects Compilation (181K subscribers) with 71% match, and ABAGY ROBOTIC WELDING (5.2K subscribers) with 67% match. They all share a focus on engineering and technical topics related to electronics, robotics, or simulations, similar to Aleksandar Haber PhD.
What type of content does Aleksandar Haber PhD make?
Aleksandar Haber PhD creates engineering and electronics-focused content, including LTSpice tutorials and robot coding. The channel has an average of ~12K views per video, and uploads appear to occur with multiple videos per week based on the recent video list.
How do we determine which channels are similar to Aleksandar Haber PhD?
We analyze Aleksandar Haber PhD'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.
