Ivan on Tech - Moralis provides the best web3 APIs
CEO @moralisweb3 @moralismoney degen youtubooor https://www.youtube.com/@IvanOnTech
412,865
Followers
4,482
Following
20,493
Tweets
876.7
Avg Engagement
3,520
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @IvanOnTech's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2011-10-14
- Verification:No
- Location:Earth
Data Summary
- Tweets Analyzed:3,237
- Avg Likes per Tweet:53.4
- Avg Retweets per Tweet:823.3
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,237 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is consistent with his focus on market trends and personal insights.
53.4
Avg Likes/Tweet
823.3
Avg Retweets/Tweet
172,846
Total Likes
2,665,094
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
26
Median Retweets
336
75th Percentile
177,505
Top Tweet
2.12
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
10.4%
Original
19.4%
Replies
68.3%
Retweets
1.9%
Quotes
0.0%
Threads
0.1%
With Media
25.4%
With Links
17.2%
With #Tags
89.2%
With @Mentions
22.7%
With Emojis
109
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.87
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.9%
Weekday Posts
25.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,237 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 2,212 retweets (68% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,237 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 50,000 followersHis audience primarily consists of crypto enthusiasts and tech-savvy individuals interested in blockchain and market analysis. The audience is likely engaged with both educational and speculative content.
Good
Audience Quality
19.7%
Suspicion Index
26.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
38.1%
Empty Bio
24.4%
<10 Tweets
8.1%
Mass Following (>2K)
0.0%
New (<90 days)
36.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.4%
No URL
15.3%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
59,178,880
Total Potential Reach
38
Median Follower Reach
145
75th Percentile Reach
6.8%
>1K followers
1.4%
>10K followers
0.4%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.7%
Creators
24,347 accounts
26.9%
Consumers
13,449 accounts
24.4%
Dormant
12,204 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
2,594
Verified Followers
2.59% of total
4,920
Protected Accounts
4.92% of total
4 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @thalia | 9,786,857 | Singer | Music, Album, Love |
| @CryptoWeb3_NFT | 4,364,670 | - | - |
| @SirKunt | 2,254,757 | - | - |
| @TerribleMaps | 1,808,327 | Cartographer | Maps, Humour, Business |
| @TheToriant | 1,265,428 | - | - |
| @CryptoGemsNFT_ | 974,644 | Crypto Researcher | Crypto, NFTs, DeFi |
| @NEST_Protocol | 927,841 | - | - |
| @NoraEstia | 782,223 | Crypto Influencer | Crypto, Giveaways, NFT |
| @RaminNasibov | 740,821 | Designer | Design, Art, Opensea |
| @solalexasch | 678,780 | Musician | Music, Travel, Tattoos |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
63,316
Followers With Bio
36,684
Followers Without Bio
63.32%
% With Bio
36.68%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,237 analyzed521,674
Combined Engagement
0
Total Likes
521,674
Total Retweets
104,335
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
100%
With Links
Topical Analysis:
RT @elonmusk: Entering Twitter HQ – let that sink in! https://t.co/D68z4K2wq7
RT @elonmusk: https://t.co/OjhQJvruTy
RT @elonmusk: https://t.co/x0UR77nosT
RT @elonmusk: https://t.co/wmN5WxUhfQ
RT @elonmusk: https://t.co/RheEuBzGqj
Key Insights & Takeaways
He frequently discusses market trends and personal crypto experiences He has shifted platforms due to user experience and functionality preferences He emphasizes the importance of reliable data sources in crypto analysis
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 412,865
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @IvanOnTech reveals an well-established Twitter presence with 412,865 followers. The account demonstrates a conversation-first approach, averaging 876.7 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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