Illia (root.near) (🇺🇦, ⋈)
Co-Founder @NEARProtocol. Working on bringing 1B users into web3. Previously builder of #Tensorflow & ML researcher.
55,873
Followers
552
Following
4,397
Tweets
55.8
Avg Engagement
1,167
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @ilblackdragon'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: Mid-Tier (10K+)
- Account Age:2009-10-09
- Verification:Yes
- Location:NEAR
Data Summary
- Tweets Analyzed:599
- Avg Likes per Tweet:37.3
- Avg Retweets per Tweet:18.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 599 tweetsTheir tweets receive a moderate level of engagement, with an average of 382 likes and 154 retweets. The content is well-received and often shared within the tech and blockchain communities.
37.3
Avg Likes/Tweet
18.5
Avg Retweets/Tweet
22,315
Total Likes
11,092
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
14
Median Likes
2
Median Retweets
63
75th Percentile
1,814
Top Tweet
1.0
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
14.5%
Original
60.8%
Replies
10.4%
Retweets
14.4%
Quotes
0.0%
Threads
0.0%
With Media
40.4%
With Links
10.9%
With #Tags
71.3%
With @Mentions
4.2%
With Emojis
166
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.18
Reply/Original Ratio
1.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 599 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 62 retweets (10% 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 599 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 followersTheir audience is primarily interested in blockchain technology, web3, and machine learning. They are likely developers, investors, and tech enthusiasts.
Average
Audience Quality
21.5%
Suspicion Index
19.8%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.7%
Empty Bio
15.5%
<10 Tweets
18.6%
Mass Following (>2K)
0.0%
New (<90 days)
48.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.1%
No URL
8.9%
<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.
82,275,177
Total Potential Reach
73
Median Follower Reach
296
75th Percentile Reach
10.9%
>1K followers
1.9%
>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).
61.4%
Creators
30,684 accounts
23.1%
Consumers
11,564 accounts
15.5%
Dormant
7,752 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):
2,243
Verified Followers
4.21% of total
2,375
Protected Accounts
4.45% of total
5 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,362,983 | - | - |
| @okx | 2,924,361 | Cryptocurrency Exchange | Bitcoin, Crypto, Exchange |
| @SirKunt | 2,254,562 | - | - |
| @solana | 2,222,902 | Blockchain Developer | Crypto, Apps, Blockchain |
| @Cointelegraph | 1,888,486 | Crypto News | Bitcoin, Ethereum, blockchain |
| @NEARProtocol | 1,665,277 | Blockchain Platform | Blockchain, Climate-neutral, Reimagine |
| @SBF_FTX | 1,078,881 | CEO | Cryptocurrency, Trading, Innovation |
| @Scaramucci | 1,008,992 | Entrepreneur | Entrepreneur, Host, Podcast |
| @LeBronJames | 1,006,036 | - | - |
| @Karijelinek | 1,003,345 | Modelo | Modelo, Actriz, Influencers |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
37,235
Followers With Bio
16,084
Followers Without Bio
69.83%
% With Bio
30.17%
% 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 599 analyzed4,724
Combined Engagement
1,353
Total Likes
3,371
Total Retweets
945
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @NEARProtocol: One thousand projects and counting are building on #NEAR Protocol 📈 The team at @awesome_near has been tracking the trem…
RT @NEARWEEK: 🌅 #NEAR THE HORIZON #1 Crossword puzzles, highlights rewinding, in-depth discussion, and more 💬 Brand new format, first ti…
Today @NEARProtocol celebrates 2 years since launching mainnet! I want to unpack our approach to scaling for 1B users & helping builders create without limits. So what sets NEAR tech apart? 👇
Why should you build on NEAR? I get this question all the time, so I put my answer in a video! Here’s what makes @NEARProtocol the most accessible protocol for developers and users: simple, scalable, secure, sustainable. 👇 https://t.co/JxdpeER53y
Comparison of @NEARProtocol ecosystem metrics from my presentation today at @MessariCrypto's #Mainnet2022. Ecosystem is growing quickly but we are still only at the beginning of the journey to bring #web3 to the mainstream. https://t.co/Zld3iAuLuZ
Key Insights & Takeaways
They emphasize the importance of scaling blockchain for 1B users. They highlight the growth of the NEAR ecosystem and its potential. They focus on making blockchain accessible and compatible with existing web experiences.
Strengths
- + Established follower base of 55,873
- + 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 @ilblackdragon reveals an growing Twitter presence with 55,873 followers. The account demonstrates a conversation-first approach, averaging 55.8 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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