Data refreshed Oct 8, 2026 · 10:41 AM UTC
AI & Technology Canada

Nicksaraev

Full Creator Stats Live · Updated 2026-10-08

Nicksaraev is a creator with a presence on YouTube (535,000 followers), Instagram (697,361 followers), based in Canada.

NicheAI & Technology TierMacro Engagement2.7%

Total Followers +4.6%

1.2M

Across YouTube, Instagram

Primary Platform

YouTube

535K followers · 43% of audience

Engagement

2.7%

vs. 1.5% category median

Sponsorship Tier

Macro

Est. $10K–$24K / IG post

Quick facts
  • 1.2M combined followers across 2 platforms.
  • Macro creator tier — Canada.
  • 2.7% headline engagement.
  • Niche: All.
  • Posts in English.

Performance Across Platforms

Updated 2026-10-08
PlatformFollowers30d GrowthEngagementPosts / wkLast upload
YouTube 535,000 +21K 2.7% 2.1 2 days ago
Instagram 697,361 +36K 5.1% 3.7 2 days ago

Growth Trend

Last 365 days
WindowYouTubeInstagramCombined
Last 7 days +5K +0.9% +9K +1.2% +0 +0.0% +14K
Last 30 days +21K +3.9% +36K +5.1% +0 +0.0% +56K
Last 90 days +79K +14.8% +203K +29.1% +0 +0.0% +282K
Last 365 days +79K +14.8% +203K +29.1% +0 +0.0% +282K

Audience Demographics

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153K303K454K605K756K Oct 9Jan 8Apr 9Jul 9Now
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Daily follower snapshots from CreatorDB's longitudinal index.

Recent Brand Partnerships

Last 12 months · sponsored content only
BrandTypePlatformDatePerformance vs. baseline
Sponsored content YouTube Sep 2026 —
Sponsored content YouTube Feb 2026 —
Background

About Nicksaraev

Nicksaraev is a creator with a presence on YouTube (535,000 followers), Instagram (697,361 followers), based in Canada. Their content sits in the ai & technology space. Their YouTube bio reads: "Hi 👋 I'm Nick. I've helped millions of people learn cutting-edge technology like Claude Code, Codex, N8N, & Antigravity. I first started in the agency world, founding two service businesses that scaled to a combined $160,000/m in revenue". The full audience and engagement breakdown is below.

Brand fit

Why brands partner

Nicksaraev reaches an audience concentrated in Canada primarily through YouTube, and is best activated via long-form YouTube integrations, Instagram Reels and Stories. As a tech creator they map naturally to brands targeting that space. Demonstrated partners include Higgsfield and N8N. Engagement on YouTube runs around 2.7%, which points to an audience better suited to category-relevant, mid-funnel campaigns than to pure-reach buys. The channel's mix of long-form YouTube integrations and Instagram Reels and Stories lets a sponsor choose between short awareness placements and longer, more detailed integrations. Because the audience follows tech content rather than arriving through untargeted reach, sponsorships that match the channel's subject matter tend to convert more efficiently than broad placements. A consistent, on-topic posting focus gives sponsors a predictable, brand-safe environment, lowering placement risk compared with broad, general-interest channels. Campaigns here are best measured on qualified engagement and consideration within the niche rather than on raw impression volume. For Canada-focused brands in tech and related categories, Nicksaraev offers a defined, creative-fit audience rather than broad, low-intent impressions.

Estimated Rate Card

Benchmark estimates for a creator at Nicksaraev's tier (Macro, 1.2M combined followers, Canada). Pulled from CreatorDB's category benchmarks.

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Benchmark rates per post, Reel, video and integration — across every platform.

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Frequently Asked Questions

What is Maker School and who is it for?

Maker School is an online program founded by Nick Saraev designed to help complete beginners land their first paying AI automation client. It comes with a "first client in 90 days or money back" guarantee, and Nick has reported helping over 2,000 students get started in AI services. The program draws directly from his own background scaling service businesses in the agency world.

Did Nick Saraev actually work with MrBeast?

Nick Saraev lists MrBeast among the major clients he has worked with, alongside multibillion-dollar companies like Anthropic and Wix. He references these partnerships in his YouTube bio as part of his credibility in the AI and automation space. The specific nature of the MrBeast engagement is not detailed publicly, but it appears to fall within his agency and AI services background.

How did Nick Saraev build two agencies to $160,000 a month?

Nick Saraev scaled two service businesses in the agency world to a combined $160,000 per month in revenue before pivoting toward content creation and education. He credits this experience as the practical foundation for everything he teaches — specifically how AI tools like N8N, Claude Code, and Make.com can be used to deliver client services at scale. That agency-to-educator arc is central to his brand and what separates him from pure tech commentators.

What is the 90-day money-back guarantee at Maker School?

Maker School promises that if a student does not land their first AI client within 90 days of joining, they receive a full refund. Nick Saraev frames this as a signal that the program is built around real, measurable outcomes rather than passive learning. The guarantee is a key part of his Instagram pitch and positions Maker School against traditional online courses with no accountability.

Why does Nick Saraev talk about N8N so much?

N8N is an open-source workflow automation platform that sits at the core of Nick Saraev's content — he teaches it as a way to build powerful AI-driven automations with minimal traditional coding. It is one of his most-used content hashtags and he has carried a sponsored partnership with N8N on YouTube. For Nick, N8N represents the practical side of AI automation that someone can actually sell to a client.

What is Claude Code and why does Nick Saraev make so many videos about it?

Claude Code is an agentic coding tool built by Anthropic that lets users write, run, and debug code through natural-language prompts rather than traditional programming environments. Nick Saraev covers it as one of the most important emerging tools for non-developers and professionals alike, and his direct work with Anthropic gives him early access and credibility in this area. It is one of the flagship technologies he highlights alongside N8N and Codex.

What does Nick Saraev's work with Anthropic involve?

Nick Saraev lists Anthropic — the AI safety company behind the Claude family of models — as one of the major enterprises he has collaborated with. Given his focus on Claude Code tutorials and AI education, the partnership appears to involve content, educational outreach, or developer-facing promotional work. He is among the more prominent YouTube educators specifically building curriculum around Anthropic's developer tools.

Who has sponsored Nick Saraev on YouTube?

Nick Saraev's confirmed YouTube sponsors include N8N, the open-source automation platform, and Higgsfield, an AI video generation tool. Both deals align tightly with his content focus on practical AI tools, which is consistent with how he approaches partnerships — sponsors tend to be products he already teaches or uses in his workflows.

Is Nick Saraev Canadian?

Yes, Nick Saraev is based in Canada, though the large majority of his audience is in the United States, with additional reach across the UK, India, and Germany. His content is entirely in English and targets a global tech-savvy audience rather than a Canadian-specific one. He operates across YouTube and Instagram as his main public platforms.

How big is Nick Saraev's following?

Nick Saraev has over a million followers combined across YouTube and Instagram, placing him firmly in the Macro creator tier. His engagement rate runs well above the category average for tech and education creators, which is notable given how difficult it is to sustain strong engagement at that scale in a technical niche.

How this page is built

Stats (followers, engagement, audience demographics, growth) are pulled live from the CreatorDB API covering YouTube, Instagram and TikTok. Bio and FAQ content is AI-assisted; news items are sourced from cited public press at generation time. Read the full methodology →

Data refreshed Oct 8, 2026, 10:41 AM UTC · Slug: nicksaraev

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