Whit Gibbs
Building @hypermindlabs (prev @compass_mining) | Advising (@FarcanaOfficial)
20,545
Followers
1,696
Following
506
Tweets
82.6
Avg Engagement
318
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @WhitGibbs'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:2018-05-18
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:343
- Avg Likes per Tweet:4.2
- Avg Retweets per Tweet:78.4
- Followers Analyzed:21,065
Engagement Analysis
Based on 343 tweetsTheir tweets receive an average of 41 likes and 2 retweets, indicating a moderate level of audience interaction. The content seems to resonate with their followers, as seen in the top tweets.
4.2
Avg Likes/Tweet
78.4
Avg Retweets/Tweet
1,454
Total Likes
26,879
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
9
75th Percentile
16,974
Top Tweet
4.02
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
18.4%
Original
57.4%
Replies
17.8%
Retweets
6.4%
Quotes
0.0%
Threads
0.3%
With Media
29.7%
With Links
5.2%
With #Tags
76.4%
With @Mentions
13.1%
With Emojis
73
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.13
Reply/Original Ratio
0.36
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.2%
Weekday Posts
24.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 343 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 61 retweets (18% 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 343 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 21,065 followersWhitGibbs likely targets individuals interested in cryptocurrency, blockchain, and tech innovation. Their audience may also include investors and entrepreneurs looking for insights and advice.
Average
Audience Quality
20.9%
Suspicion Index
17.4%
Low-Quality %
126
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.2%
Empty Bio
13.0%
<10 Tweets
25.7%
Mass Following (>2K)
0.0%
New (<90 days)
41.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
76.7%
No URL
7.7%
<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.
82,263,695
Total Potential Reach
126
Median Follower Reach
485
75th Percentile Reach
15.3%
>1K followers
3.5%
>10K followers
1.0%
>50K followers
0.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
69.2%
Creators
14,578 accounts
17.8%
Consumers
3,740 accounts
13.0%
Dormant
2,747 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):
1,237
Verified Followers
5.87% of total
1,474
Protected Accounts
7.0% of total
7 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 |
|---|---|---|---|
| @cz_binance | 8,364,498 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @jack | 6,533,386 | Cryptocurrency Trader | bitcoin, chill, #nostr |
| @6BillionPeople | 2,037,977 | - | - |
| @APompliano | 1,643,780 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @HuobiGlobal | 1,430,524 | - | - |
| @JDaIey | 1,226,325 | - | - |
| @ZubyMusic | 1,087,917 | Rapper | Rapper, Author, Podcaster |
| @SBF_FTX | 1,078,843 | CEO | Cryptocurrency, Trading, Innovation |
| @NEST_Protocol | 930,198 | - | - |
| @scottmelker | 891,433 | Crypto Investor | Crypto, DJ, Podcast |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
15,337
Followers With Bio
5,728
Followers Without Bio
72.81%
% With Bio
27.19%
% 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 343 analyzed23,279
Combined Engagement
0
Total Likes
23,279
Total Retweets
4,656
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @marknorm: “Let’s gooooooooooooo” is ‘Allāhu ʾakbar’ for white guys
RT @jackbutcher: Humanity Check For on the ground crisis relief in Turkey and Syria. All funds to Doctors without Borders via The Giving…
RT @sobradob: Thanks to KYC/AML regulations the criminals at FTX now have the name, address and passport details of millions of individuals.
RT @MilkRoadDaily: How Samuel Bankman-Fraud pitched Chamath https://t.co/yjnHT6Izis
RT @TylerDurden: So @Visa are using the ETH blockchain to settle payments. Looking forward to paying $3 for coffee + $900 gas fee and wait…
Key Insights & Takeaways
They use humor and relatability to engage their audience Their content often includes motivational and actionable advice They maintain a balance between personal and professional themes
Strengths
- + Established follower base of 20,545
- + 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 @WhitGibbs reveals an growing Twitter presence with 20,545 followers. The account demonstrates a conversation-first approach, averaging 82.6 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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