Krish Naik
YouTubetechIN

Krish Naik

@krishnaik06

I am the Founder of KrishAI Technologies Private Limited and my experience is pioneering in machine learning, deep learning, and computer vision,an educator, and a mentor, with over 10 years' experience in the industry. This is my YouTube channel where I explain various topics on machine learning, deep learning, and AI with many real-world problem scenarios. I have delivered over 30 tech talks on data science, machine learning, and AI at various meet-ups, technical institutions, and community-arranged forums. My main aim is to make everyone familiar of ML and AI.Please subscribe and support the channel. As i love new technology, all these videos are free and I promise to make more interesting content as we go ahead. For any collaboration drop me a mail at krishnaik06@gmail.com Please free to drop a mail for Product unboxing, GPU's unboxing and any other collaboration

1.42M

Subscribers

134.7M

Total views

2.11K

Videos

Avg views (30d)

as of 2026-05-12

Integrated video price

Algorithmic estimate

Low

$2,556

Typical

$4,260

High

$6,390

Range is the pure algorithmic estimate from audience size, niche CPM, geo and format multipliers. How this works →

Pricing model

Algorithmic estimate

Pure algorithmic estimate, $2,556 – $6,390 per integrated placement. No community data points yet. See methodology →

About Krish Naik

Krish Naik is the founder of KrishAI Technologies Private Limited and operates a YouTube channel focused on machine learning, deep learning, artificial intelligence, and computer vision. With over 10 years of industry experience, Naik positions himself as both practitioner and educator, delivering technical content that bridges theory and real-world application. His channel has published 2,112 videos and accumulated 134,688,889 total views across a subscriber base of 1,420,000. The channel's stated mission centers on demystifying machine learning and AI for a broad audience through explanatory content and problem-scenario walkthroughs. Beyond YouTube, Naik has delivered over 30 technical talks at meetups, academic institutions, and community forums on data science, machine learning, and AI topics. His content strategy emphasizes accessibility—making advanced topics in ML and AI comprehensible to viewers at varying technical levels. The channel reflects a sustained commitment to technical education rather than entertainment-driven content, positioning it within the professional development and skill-building segment of the tech education space.

Krish Naik's estimated sponsorship rates

Krish Naik's estimated sponsorship rate for an integrated YouTube video ranges from $2,556 (low) to $6,390 (high), with a typical rate of $4,260. This positioning places him in the high audience tier, reflecting both his subscriber count of 1,420,000 and the niche dynamics of technical education content. Rates in the tech education category are influenced by several factors: subscriber scale relative to peers (Micode at 1,870,000 subscribers and TechyCrew at 1,000,000 represent the range), the specialized nature of machine learning and AI audiences, and geographic context as an India-based creator. Tech education channels typically command higher CPM rates than general-interest tech channels because audiences are concentrated in professional and student demographics with demonstrated purchasing intent for courses, software tools, and technical services. The estimate reflects algorithmic calibration based on subscriber count and niche CPM multipliers; actual rates may vary depending on campaign scope, content integration depth, and advertiser requirements. Refer to the /methodology page for details on how rates are calculated.

Who should partner with Krish Naik?

Krish Naik's audience consists primarily of individuals pursuing education and career development in machine learning, deep learning, data science, and artificial intelligence. The channel attracts students, working professionals, and career-changers seeking structured explanations of complex technical concepts. Relevant brand categories for sponsorship include online learning platforms (courses in ML and AI), cloud infrastructure providers (AWS, Google Cloud, Azure), data science software and libraries, development tools, and technical certifications. Educational SaaS platforms, programming IDEs, and data visualization tools align with audience intent. The subscriber base reflects a global reach, though the creator's India-based location and English-language technical content suggest concentration among English-speaking professionals in Asia-Pacific and Western markets. Compared to peers like TechyCrew (1,000,000 subscribers), Naik's channel maintains a narrower focus on AI and machine learning rather than broader consumer tech, which typically results in more concentrated, professional-grade audiences. This specificity supports higher engagement rates within niche verticals like enterprise AI adoption, technical hiring platforms, and professional development services. The 134,688,889 total views across 2,112 videos indicates consistent audience retention and topic relevance over an extended content catalog.

Krish Naik's growth and performance

Snapshot data spans only one day (May 12, 2026), with subscriber count holding steady at 1,420,000 between the first and latest tracking points. This single-day window provides insufficient data to assess growth trajectory, velocity, or seasonal patterns. Average view counts for the last 30 days are not yet available in our records. To establish meaningful growth analysis, we require multi-month historical data tracking subscriber additions, view trends, and engagement metrics. Longer-term growth assessment will become possible as additional snapshots are collected.

How our pricing estimate works for Krish Naik

Krish Naik's estimated sponsorship rate is calculated algorithmically using subscriber count, niche-specific CPM (cost per thousand views) multipliers, platform and format adjusters, and geographic factors. The formula combines his 1,420,000 subscriber base with the typical CPM range for tech education content, then applies YouTube-specific and video-integration multipliers to produce the low, typical, and high rate estimates. This estimate is calibrated against zero community-reported data points, meaning it relies entirely on algorithmic modeling rather than confirmed historical rates from the creator or brand partners. Actual sponsorship rates may differ based on campaign specifics, audience demographics, content performance, and negotiation. For a detailed explanation of the methodology, including CPM assumptions, platform multipliers, and adjustment factors, visit the /methodology page.