Data refreshed Oct 1, 2026 · 2:07 AM UTC
AI & Technology Canada

@Mark_Kashef

Full Creator Stats Live · Updated 2026-10-01

@Mark_Kashef is a creator with a presence on YouTube (84,800 followers), Instagram (10 followers), based in Canada.

NicheAI & Technology TierMicro Engagement3.0%

Total Followers +2.8%

85K

Across YouTube, Instagram

Primary Platform

YouTube

85K followers · 100% of audience

Engagement

3.0%

vs. 1.5% category median

Sponsorship Tier

Micro

Est. $0–$1 / IG post

Quick facts
  • 85K combined followers across 2 platforms.
  • Micro creator tier — Canada.
  • 3.0% headline engagement.
  • Posts in English.
Recent news · 2 items

Performance Across Platforms

Updated 2026-10-01
PlatformFollowers30d GrowthEngagementPosts / wkLast upload
YouTube 84,800 +2K 3.0% 1.9 4 days ago
Instagram 10 +0 — — —

Growth Trend

Last 365 days
WindowYouTubeInstagramCombined
Last 7 days +305 +0.4% +0 +0.0% +0 +0.0% +305
Last 30 days +2K +2.8% +0 +0.0% +0 +0.0% +2K
Last 90 days +5K +6.3% +0 +0.0% +0 +0.0% +5K
Last 365 days +5K +6.3% +0 +0.0% +0 +0.0% +5K

Audience Demographics

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-1016516K42K69K95K Oct 1Dec 31Apr 1Jul 1Now
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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 Dec 2025 —
Sponsored content YouTube Jul 2025 —
Background

About @Mark_Kashef

@Mark_Kashef is a creator with a presence on YouTube (84,800 followers), Instagram (10 followers), based in Canada. Their content sits in the ai & technology space. Their YouTube bio reads: "Practical AI, without the hype. I break down AI agents, automation, and tools like ChatGPT, Claude, Gemini, and Codex so you can understand what matters, build useful systems, and turn AI into real business value. I'm Mark Kashef, an AI e". The full audience and engagement breakdown is below.

Brand fit

Why brands partner

Mark_Kashef 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 Zapier and Abacus.AI. Engagement on YouTube runs around 3.0%, 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, Mark_Kashef offers a defined, creative-fit audience rather than broad, low-intent impressions.

Estimated Rate Card

Benchmark estimates for a creator at @Mark_Kashef's tier (Micro, 85K combined followers, Canada). Pulled from CreatorDB's category benchmarks.

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Frequently Asked Questions

What is Prompt Advisers and does Mark Kashef still run it?

Prompt Advisers is Mark Kashef's AI automation agency, which he has run for over four years alongside his YouTube channel. The agency focuses on helping businesses build and deploy practical AI systems, not theoretical ones. His content is a direct extension of that client work, which is why his tutorials skew toward real business outcomes rather than hype-driven tool announcements.

Is Mark Kashef actually a data scientist or just a YouTuber talking about AI?

Mark Kashef has over ten years of hands-on experience in data science and natural language processing before becoming a content creator. He runs Prompt Advisers, an active AI automation agency, at the same time as his channel. That practitioner background is central to his appeal — he's stress-testing AI tools in real workflows, not summarizing press releases.

What did Mark Kashef find when he tested every GPT-6 Astra effort level?

Mark Kashef ran a hands-on comparison of GPT-6 Astra's full range of effort settings and shared a clear recommendation for which level he would actually use in practice. His approach focuses on practical trade-offs rather than raw benchmark scores. The video is a useful starting point if you want to know how effort levels affect output quality in real automation workflows.

What is Jev and why does Mark Kashef keep making videos about it?

Jev is an AI tool that Mark Kashef has covered in depth, including a breakdown of ten practical ways to use it and a full tutorial on building your own version with Claude Opus 5.5. When he dedicates multiple videos to a single tool, it's typically because it has passed his hype-free filter and he sees genuine workflow value in it. His channel is the best place to see how it stacks up against other agents and automation platforms.

What does 'hype-free AI' actually mean in Mark Kashef's content?

Mark Kashef's hype-free approach means he explicitly filters out marketing noise and evaluates whether a tool or model upgrade produces measurable value in real business workflows. He describes his role as testing new drops, repos, and workflows so his audience knows whether to use, skip, or just keep watching. The goal is to compress decision-making for founders and builders who don't have time to chase every AI release.

Does Mark Kashef have a Zapier sponsorship?

Yes, Zapier has sponsored content on Mark Kashef's YouTube channel. Given that his videos are built around AI automation and workflow integration, Zapier is a natural fit for an audience of founders and builders. He tends to work with sponsors that align with the tools his viewers would actually use to build the systems he teaches.

What is Abacus.AI and why did Mark Kashef partner with them?

Abacus.AI is an enterprise AI platform for building and deploying AI agents and machine learning systems at scale. Mark Kashef featured them as a sponsor on his YouTube channel, which fits his focus on production-grade AI automation rather than hobby projects. For his technically minded audience of developers and founders, it sits squarely in the applied AI space he covers.

Why does Mark Kashef make so many Mermaid diagram tutorials?

Mermaid is a text-based diagramming tool that pairs naturally with AI-generated code and workflow documentation, making it directly relevant to the automation systems Mark Kashef builds and teaches. He treats it as a practical skill for anyone designing AI pipelines or trying to visualize complex data flows. It's a niche within his niche that his developer and founder audience finds immediately applicable.

How do you use any AI model inside GrokBot like Mark Kashef showed?

Mark Kashef published a tutorial walking through how to route different AI models through GrokBot, which fits his broader theme of building model-agnostic, flexible automation setups. The goal is to avoid being locked into a single provider and instead call whichever model performs best for a given task. His channel covers the practical plumbing behind that kind of interoperable workflow in step-by-step format.

Is Mark Kashef based in Canada?

Yes, Mark Kashef is a Canadian creator, though the majority of his YouTube viewership comes from the United States, with significant audiences also in India, the UK, and Germany. His content travels well internationally because AI automation tutorials aren't geography-dependent. He covers tools and workflows that are relevant to English-speaking founders and developers regardless of where they're building.

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 1, 2026, 2:07 AM UTC · Slug: mark_kashef

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