NetworkChuck
Believer. Beard. Coffee. Tech. Youtube. Check the link in my bio to see my latest video!
157,672
Followers
526
Following
3,908
Tweets
93.4
Avg Engagement
640
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @NetworkChuck'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:2016-03-06
- Verification:No
- Location:Dallas, TX
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:70.2
- Avg Retweets per Tweet:23.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsHis tweets typically receive high engagement, with an average of 2,737 likes and 854 retweets.
70.2
Avg Likes/Tweet
23.2
Avg Retweets/Tweet
227,413
Total Likes
75,326
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
21
Median Likes
2
Median Retweets
80
75th Percentile
17,010
Top Tweet
0.59
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
52.8%
Original
31.0%
Replies
7.9%
Retweets
8.3%
Quotes
0.0%
Threads
0.4%
With Media
56.5%
With Links
27.9%
With #Tags
64.9%
With @Mentions
7.1%
With Emojis
118
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
1.06
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
80.0%
Weekday Posts
20.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 255 retweets (8% 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 3,241 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 is primarily interested in technology, cybersecurity, and entertainment.
Average
Audience Quality
26.0%
Suspicion Index
31.9%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.6%
Empty Bio
31.7%
<10 Tweets
7.1%
Mass Following (>2K)
0.0%
New (<90 days)
58.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
84.9%
No URL
21.3%
<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.
34,809,299
Total Potential Reach
18
Median Follower Reach
88
75th Percentile Reach
3.3%
>1K followers
0.3%
>10K followers
0.1%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
44.3%
Creators
22,145 accounts
24.0%
Consumers
12,023 accounts
31.7%
Dormant
15,832 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):
59
Verified Followers
0.06% of total
11,672
Protected Accounts
11.56% of total
6 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 | 14,106,791 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,709 | - | - |
| @pickwn | 645,625 | Influencer | Travel, Adventure, Photography |
| @Raspberry_Pi | 586,251 | Technology | Technology, Education, Innovation |
| @Codecademy | 520,297 | Education | coding, learning, technology |
| @EvanMcMullin | 491,601 | - | - |
| @pascalguyon | 368,292 | Music Producer | Music, Technology, Health |
| @geoff_deweaver | 367,238 | Marketing Expert | Digital Marketing, Strategy, Leadership |
| @edinaldo_olive | 355,210 | Digital Retoucher | Adobe, Photoshop, Lightroom |
| @siswet | 320,935 | Adult entertainer | Anal, Camming, Pornhub |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,075
Followers With Bio
41,922
Followers Without Bio
58.49%
% With Bio
41.51%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,241 analyzed41,125
Combined Engagement
8,275
Total Likes
32,850
Total Retweets
8,225
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @KirkBater: This image is a TCP/IP Joke. This tweet is a UDP joke. I don't care if you get it. https://t.co/GLy8QadqOC
Number 6 has arrived!! https://t.co/DBwZvlwvyG
RT @WholesomeMeme: https://t.co/m5XqxaZmQJ
RT @bjburton: A devops engineer walks into a bar, puts the bartender in a docker container, put kubernetes behind the bar, spins up 1000 bartenders, orders 1 beer.
RT @bbourque: 6 years ago I joined a 20-person startup. I wanted to quit after my first week, but didn't. Now our company is worth over $1B and has 200+ employees. Here's what I've learned about succeeding at a startup:
Key Insights & Takeaways
He frequently shares links to his latest videos, indicating a focus on content promotion. His tweets often include humor and personal interests, which likely contribute to his engagement. He highlights cybersecurity topics, suggesting a niche audience interested in tech and security.
Strengths
- + Established follower base of 157,672
- + Strong original content creation
- + 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 @NetworkChuck reveals an growing Twitter presence with 157,672 followers. The account demonstrates a content-creator strategy, averaging 93.4 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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