Alex McCurry
Founder @ https://t.co/dwDpVPFaFo | Forbes 30u30 | Free Thinker |📍Puerto Rico | #Bitcoin
28,629
Followers
16,157
Following
6,171
Tweets
1,647.0
Avg Engagement
75
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @alexmccurryo'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:2020-07-05
- Verification:No
- Location:Puerto Rico, USA
Data Summary
- Tweets Analyzed:3,231
- Avg Likes per Tweet:21.4
- Avg Retweets per Tweet:1,625.6
- Followers Analyzed:24,133
Engagement Analysis
Based on 3,231 tweetsHis tweets typically receive a high number of likes and retweets, indicating strong community interaction. He often shares news and updates about high-profile crypto projects and investments.
21.4
Avg Likes/Tweet
1,625.6
Avg Retweets/Tweet
69,218
Total Likes
5,252,185
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
27
75th Percentile
664,609
Top Tweet
57.53
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
14.2%
Original
58.8%
Replies
25.4%
Retweets
1.5%
Quotes
0.0%
Threads
0.2%
With Media
20.8%
With Links
8.3%
With #Tags
86.6%
With @Mentions
19.3%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.14
Reply/Original Ratio
0.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.9%
Weekday Posts
22.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,231 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 821 retweets (25% 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 3,231 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 24,133 followersHis audience is primarily interested in blockchain, NFTs, and cryptocurrency. They are likely early adopters and investors looking for insights and updates on emerging projects.
Good
Audience Quality
13.1%
Suspicion Index
4.5%
Low-Quality %
1,046
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
7.7%
Empty Bio
2.5%
<10 Tweets
41.1%
Mass Following (>2K)
0.0%
New (<90 days)
6.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
62.4%
No URL
1.3%
<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.
118,974,920
Total Potential Reach
1,046
Median Follower Reach
2,703
75th Percentile Reach
51.1%
>1K followers
6.3%
>10K followers
1.0%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
89.8%
Creators
21,683 accounts
7.6%
Consumers
1,840 accounts
2.5%
Dormant
610 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):
172
Verified Followers
0.71% of total
210
Protected Accounts
0.87% 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 |
|---|---|---|---|
| @JohnCena | 14,106,737 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,476 | - | - |
| @SirKunt | 2,257,724 | - | - |
| @BoredElonMusk | 1,714,027 | Entrepreneur, Investor | Inventions, Parody, Blockchain |
| @Timbaland | 1,609,984 | Music Producer | Music production, Grammy winner, Artist management |
| @BrianDEvans | 1,132,801 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @LeBronJames | 1,006,915 | - | - |
| @Karijelinek | 1,003,988 | Modelo | Modelo, Actriz, Influencers |
| @ZachBoychuk | 831,199 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @JRNYcrypto | 787,047 | Cryptocurrency Influencer | Cryptocurrency, Building, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
22,265
Followers With Bio
1,868
Followers Without Bio
92.26%
% With Bio
7.74%
% 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 3,231 analyzed1,795,704
Combined Engagement
0
Total Likes
1,795,704
Total Retweets
359,141
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @elonmusk: Next I’m buying Coca-Cola to put the cocaine back in
RT @elonmusk: I hope that even my worst critics remain on Twitter, because that is what free speech means
RT @elonmusk: the bird is freed
RT @elonmusk: Reinstate former President Trump
RT @elonmusk: Listen, I can’t do miracles ok https://t.co/z7dvLMUXy8
Key Insights & Takeaways
He frequently shares news about high-value NFT purchases and crypto investments, indicating a focus on wealth and success in the digital space. He uses verified links to projects like Bored Ape Yacht Club and Deadfellaz, suggesting he is a key player in the NFT and crypto communities. His engagement metrics show a consistent level of interaction, which helps maintain his influence and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 28,629
- + 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 @alexmccurryo reveals an exceptionally influential Twitter presence with 28,629 followers. The account demonstrates a conversation-first approach, averaging 1,647.0 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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