CodeHelp - by Babbar

CodeHelp - by Babbar

@codehelp

Description Hi Guys, This Channel aims to provide with Curated Education to Students who want to grow, improve, learn and do something Big in their life. So, Learn the Curated Stuff and also show your friends and Juniors the Right Path. Contribute in making a community that is Self-Sustainable. To the Point, Short and Practical - These 3 terms defines our Content for business collaborations: partnerwithbabbar@gmail.com

837K

Subscribers

106.3M

Total views

408

Videos

Avg views (30d)

as of 2026-05-12

Integrated video price

Algorithmic estimate

Low

$2,210

Typical

$3,683

High

$5,524

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, $2,210 – $5,524 per integrated placement. No community data points yet. See methodology →

About CodeHelp

CodeHelp – by Babbar is an educational YouTube channel based in India with 837,000 subscribers and over 106 million total views across 408 published videos. The channel focuses on curated education for students seeking skill development and career advancement in technology and programming. According to its channel description, the content philosophy centers on three principles: to-the-point delivery, short format, and practical application. The creator emphasizes building a self-sustaining community and directing viewers toward actionable learning paths. The channel's primary category is education, with a secondary focus on technology topics. This positioning aligns CodeHelp with a broader segment of educational creators serving students in competitive academic and professional environments, particularly in India's growing tech education market. The channel operates under the management contact partnerwithbabbar@gmail.com for business inquiries.

CodeHelp's estimated sponsorship rates

CodeHelp's estimated sponsorship rates for integrated YouTube video placements range from $2,210 (low) to $5,524 (high), with a typical rate of $3,683. These figures are derived from an algorithmic model based on subscriber count, niche CPM benchmarks, and platform-specific multipliers; see the /methodology page for details on how rates are calculated. The creator sits in the mid-tier audience classification, placing rates in line with comparable educational channels of similar scale. Several peer creators in the education niche—including Shradha Khapra (842,000 subscribers), Study Mood (852,000 subscribers), and Geo Study (827,000 subscribers)—operate within the same subscriber band and likely command comparable rates. Rate variation within CodeHelp's range typically reflects advertiser demand, content category (tech education commands higher CPMs than some other educational verticals), and geographic audience composition. The Indian market context and tech-focused niche may influence CPM relative to Western-based creators at equivalent subscriber counts. Brands seeking integration should contact partnerwithbabbar@gmail.com to discuss specific campaign parameters and final pricing.

Who should partner with CodeHelp?

CodeHelp's 837,000-subscriber base is concentrated in the education and technology sectors, with particular strength among students pursuing programming and technical skill development. The channel's audience likely spans fintech education, software development training, computer science fundamentals, and career-focused tech learning. Given the creator's emphasis on 'curated' and 'practical' content, the audience skews toward learners seeking structured, actionable instruction rather than entertainment-focused tech content. The Indian geographic origin suggests significant viewership from India's student population and early-career professionals in the technology sector. Peer channels with similar subscriber counts—such as Shradha Khapra (842,000 subscribers), also education-focused, and Study Mood (852,000 subscribers)—indicate that channels in this subscriber range typically attract committed learner communities with high engagement on educational topics. Brands targeting tech-curious students, programming course platforms, coding bootcamps, educational software, and career development services would find relevant audience alignment. The channel's stated focus on helping students 'grow, improve, learn and do something big' suggests an audience demographic of secondary and tertiary students, likely aged 16–25, with aspirational career goals in technology.

CodeHelp's growth and performance

CodeHelp was first tracked on 2026-05-12 at 837,000 subscribers. The latest snapshot, also from 2026-05-12, shows 837,000 subscribers, reflecting no measurable change over a 1-day observation window. This single-day span provides insufficient data to assess meaningful growth trends. Average view counts for the last 30 days are not yet available in our database. To establish reliable growth patterns, longer historical data spanning weeks or months would be required. Interested parties should monitor the channel's trajectory over time or contact the creator directly for historical performance context.

How our pricing estimate works for CodeHelp

CodeHelp's estimated sponsorship rates are calculated using an algorithmic model that multiplies subscriber count by niche-specific CPM (cost per thousand impressions) benchmarks, then applies platform and format multipliers for YouTube video integrations. The model currently has zero community data points (direct rate confirmations from brand partnerships), so estimates are based entirely on comparable creator data and niche benchmarking. Subscriber count (837,000) is the primary input; the education and technology categories inform CPM tier assignment. The resulting range ($2,210–$5,524, typical $3,683) reflects variance in advertiser demand and audience quality within the niche. For a detailed breakdown of how multipliers are applied and how niche CPMs are derived, see the /methodology page. These figures should be treated as algorithmic estimates rather than guaranteed rates; actual pricing depends on campaign scope, content performance, audience demographics, and direct negotiation with the creator.