CodeWithHarry

About CodeWithHarry

CodeWithHarry is a technology education channel based in India with 9.63 million subscribers and over 1.09 billion total views across 2,511 published videos. The channel focuses on programming instruction delivered in Hindi, emphasizing foundational concepts and practical coding techniques condensed into concise, demo-driven lessons. Each video includes accompanying resources—source code, documentation, and supplementary materials—hosted on the creator's website CodeWithHarry.com and linked in video descriptions.

The channel's stated mission centers on accelerating the learning curve for programming basics that typically require extended study periods. Content spans core programming languages, frameworks, and development practices, with a pedagogical approach that prioritizes clarity and directness over length. The creator maintains a business contact (harry@codewithharry.com) for partnership inquiries, indicating active availability for sponsored integrations and brand collaborations.

CodeWithHarry operates within the competitive Indian tech education space, where Hindi-language programming content serves a substantial audience segment. The channel's scale—nearly 10 million subscribers—positions it among the larger educational technology creators globally, with particular strength in reaching Hindi-speaking developers and students across India and diaspora communities.

CodeWithHarry's estimated sponsorship rates

CodeWithHarry commands a typical integrated video sponsorship rate of $28,890, with a range between $17,334 (low estimate) and $43,335 (high estimate) depending on campaign scope, deliverables, and negotiation. These figures reflect a high-tier audience classification driven primarily by subscriber volume (9.63 million) and total accumulated views (1.09 billion).

The rate positioning reflects several factors. First, absolute audience size places CodeWithHarry substantially above most peers in the tech education niche—the channel exceeds Manoj Dey (7.62 million subscribers) and significantly outpaces Fireship (4.2 million), Micode (1.87 million), Krish Naik (1.42 million), and รีวิวของ (1.26 million). Second, the niche itself—technology and programming education—typically commands moderate-to-strong CPM rates, as the audience skews toward developers, students, and technical professionals with purchasing power relevant to software tools, courses, and services. Third, geographic origin in India combined with Hindi-language content creates a distinct market segment; while CPM rates in India average lower than Western markets, the channel's scale compensates substantially.

Brand fit typically includes software development tools, coding education platforms, cloud infrastructure services, and developer-focused SaaS products. Rates may vary based on video length, integration depth, and audience geography targeting.

Who should partner with CodeWithHarry?

CodeWithHarry's 9.63 million subscribers comprise primarily Hindi-speaking technology learners, student developers, and professional programmers across India and international diaspora communities. The audience tier classification reflects high absolute reach combined with niche relevance to technology and education sectors.

Demographic indicators suggest a skew toward younger audiences (students and early-career developers aged 16–35) with active interest in skill development, career advancement in software engineering, and hands-on technical learning. The channel's emphasis on foundational programming concepts and quick-turnaround tutorials indicates appeal to beginners and intermediate learners rather than exclusively advanced practitioners, broadening the addressable market within tech education.

Brand categories with strong alignment include: coding bootcamps and online education platforms, cloud infrastructure providers (AWS, Google Cloud, Azure), version control and DevOps tools, integrated development environments (IDEs) and code editors, web development frameworks and libraries, mobile app development platforms, and programming language-specific tools and libraries. Secondary fit extends to consumer electronics (laptops, monitors, peripherals), productivity software, and cybersecurity education platforms.

Comparable creators like Fireship (4.2 million subscribers) and Manoj Dey (7.62 million subscribers) serve overlapping but distinct segments—Fireship emphasizes rapid-fire technical explainers in English, while Manoj Dey similarly targets Hindi-language audiences. CodeWithHarry's positioning between these peers reflects both scale and language-market specificity.

CodeWithHarry's growth and performance

InfluencerUnion began tracking CodeWithHarry on May 12, 2026, at 9.63 million subscribers. A second snapshot on the same date (May 12, 2026) recorded no change, yielding a net delta of zero subscribers across a one-day span. This single data point provides insufficient basis for growth-rate analysis or trend projection. We do not yet have historical view-count data, upload frequency metrics, or multi-week subscriber velocity to characterize momentum or seasonal patterns. Longer observation windows will enable assessment of channel trajectory relative to peers and category benchmarks.

How our pricing estimate works for CodeWithHarry

The algorithmic price estimate derives from a formula combining subscriber count, niche-specific CPM (cost per thousand impressions), and platform/format multipliers. For CodeWithHarry, the calculation applies the channel's 9.63 million subscriber base, a technology-education niche CPM calibrated to Indian and international market rates, and YouTube integrated-video adjustment factors. The estimate is not based on direct rate quotes or historical campaign data from this creator (zero community data points available); instead, it represents a model-derived range reflecting comparable creator pricing and niche benchmarks. Actual rates depend on negotiation, campaign specifics, audience geography targeting, and exclusivity terms. See the /methodology page for detailed formula documentation and assumptions underlying niche CPM, platform multipliers, and tier classification.