1
ByHi
- Followers465k
- Engagement rate0.61%0.23% — YouTube average median
- Average likes2.1k
Audience location by country
Ukraine 67.1%
Russia 15.98%
United States 7.38%
Belarus 2.15%
Top Indian Crypto Youtubers For Brand Growth
Worried these creators won’t reach real crypto fans? Our AI checked content relevance, engagement, fraud signals and audience demographics—so this Top-10 reflects reach, trust and activity. Browse the profiles and start a 7-day trial to export contacts and launch fast.
Try for free Discover Top Indian Crypto Creators For Campaign Wins
Meet our Top-10 indian crypto youtubers, AI-vetted for relevance, fraud-free audiences, strong engagement and ready for fast campaign activation.
Last date updated: October 9, 2025 · 13:38.
To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers
To see all results (with even more data), start a free trial. Or, learn how to find YouTube influencers
- 2
Anand Rathi Wealth
- Followers58k
- Engagement rate1.9%0.24% — YouTube average median
- Average likes18
- 3
Bilal Kirmani
- Followers44k
- Engagement rate4.7%0.26% — YouTube average median
- Average likes6
- Ready to browse the best indian crypto youtubers for fast campaign wins?Start with AI-vetted creators, export contacts fast - 7-day free trial4
Life And Divinity
- Followers19k
- Engagement rate7.7%0.26% — YouTube average median
- Average likes63
Audience location by country
India 75.86%
Nepal 15.52%- United States 3.45%
United Kingdom 1.72%
- 5
Business Upside
- Followers12k
- Engagement rate3.46%0.26% — YouTube average median
- Average likes6
- 6
1 Finance
- Followers7.4k
- Engagement rate2.99%0.28% — YouTube average median
- Average likes50
- Ready to browse the best indian crypto youtubers for fast campaign wins?Start with AI-vetted creators, export contacts fast - 7-day free trial7
Kamat Trading HuB
- Followers6.2k
- Engagement rate1.95%0.28% — YouTube average median
- Average likes0
- 8
Enter Crypto | Chris Kenyon
- Followers5.7k
- Engagement rate6.55%0.28% — YouTube average median
- Average likes127
- 9
Ammy Lehal
- Followers4.1k
- Engagement rate13.33%0.32% — YouTube average median
- Average likes17
- 10
60 second FINANCE with CA Vineet
- Followers1.8k
- Engagement rate5.27%0.32% — YouTube average median
- Average likes4
Qatar 
Hong Kong 
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FAQs
How recent are the metrics and how often do creator stats refresh?
We maintain a rolling 30-day view for key metrics; profile stats refresh in seconds when you paste a handle. ER%, views and cadence are normalized over recent posts so you see up-to-date, apples-to-apples comparisons across Instagram, YouTube and TikTok.
Can I export contact lists and media plans during the 7-day trial?
Yes. Exports unlock after signup: during the 7-day trial you can save favorites, export influencer contact lists (CSV) and generate Media Plan Builder Google Sheets and PDF/JSON profile analyses once you sign in.
How does IQFluence verify influencer audience authenticity?
We cross-check content relevance and engagement patterns, flag abnormal spikes and bot-like behavior, analyze audience gender/geo/language distributions, and combine semantic-matching with fraud signals and reachability metrics to surface creators whose followers look authentic and active.
Can I compare creators across Instagram, YouTube and TikTok side-by-side?
Yes. We show Instagram, YouTube and TikTok metrics in a single, normalized grid - ER%, min/avg/max views, posting cadence and audience breakdowns - so you can open creator profiles side-by-side and compare performance, audience markets and recency fairly across platforms.
Can I build an apples-to-apples media plan with creators from different platforms?
Yes. Use our Media Plan Builder to line up creators from Instagram, YouTube and TikTok in one Google Sheet - normalized ER%, min/avg/max views, posts/mo, cadence and audience buckets. That apples-to-apples row format lets teams shortlist, approve and export side-by-side comparisons for fair planning.
How do you normalize ER% and views across different platforms?
We compute ER% and view metrics over the rolling last-30-days, then normalize by posting cadence and platform-specific distributions - producing ER%, min/avg/max views and posts/mo that are comparable across Instagram, YouTube and TikTok for fair side-by-side analysis.
