JD Rucker
The last non-communist in California. Bible-believing Christian. Editor: https://discernreport.com/
115,214
Followers
22,201
Following
90,459
Tweets
2,128.9
Avg Engagement
1,611
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @JDRucker'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:2007-12-29
- Verification:No
- Location:Orange County, CA
Data Summary
- Tweets Analyzed:3,225
- Avg Likes per Tweet:61.1
- Avg Retweets per Tweet:2,067.8
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,225 tweetsHis tweets typically receive an average of 11,782 likes and 1,508 retweets, indicating strong audience interaction. His content is well-received and widely shared.
61.1
Avg Likes/Tweet
2,067.8
Avg Retweets/Tweet
197,146
Total Likes
6,668,516
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
87
Median Retweets
1,265
75th Percentile
337,772
Top Tweet
18.48
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
11.8%
Original
13.8%
Replies
73.4%
Retweets
0.9%
Quotes
0.0%
Threads
0.3%
With Media
69.4%
With Links
6.1%
With #Tags
87.0%
With @Mentions
6.4%
With Emojis
176
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
0.01
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.1%
Weekday Posts
30.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,225 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 2,367 retweets (73% 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 3,225 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 10,000 followersHis audience includes politically engaged individuals and followers of Christian beliefs. The audience is likely interested in conservative politics and social issues.
Average
Audience Quality
20.8%
Suspicion Index
19.4%
Low-Quality %
248
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.8%
Empty Bio
9.5%
<10 Tweets
35.5%
Mass Following (>2K)
0.0%
New (<90 days)
29.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
90.2%
No URL
6.1%
<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.
24,841,921
Total Potential Reach
248
Median Follower Reach
1,039
75th Percentile Reach
25.7%
>1K followers
2.2%
>10K followers
0.8%
>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).
80.4%
Creators
8,043 accounts
10.0%
Consumers
1,003 accounts
9.5%
Dormant
954 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):
775
Verified Followers
7.75% of total
734
Protected Accounts
7.34% 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 |
|---|---|---|---|
| @AnnCoulter | 2,107,696 | Author | politics, conservative, author |
| @yashar | 708,806 | Journalist | Politics, News, Culture |
| @OzraeliAvi | 544,131 | Activist | Politics, Australia, Israel |
| @DrAseemMalhotra | 541,325 | Cardiologist | - |
| @MayraFlores2022 | 509,329 | - | - |
| @EvaVlaar | 440,768 | Political commentator | Politics, Law, Philosophy |
| @VigilantFox | 440,519 | Journalist | writing, video editing, journalism |
| @zammit_marc | 386,563 | Filmmaker | Film, Acting, Producing |
| @LauraLoomer | 382,797 | Journalist | Investigative Journalism, America First, Feisty Jewess |
| @DrEliDavid | 347,883 | Researcher | Cybersecurity, Artificial Intelligence, Research |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,724
Followers With Bio
3,276
Followers Without Bio
67.24%
% With Bio
32.76%
% 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 3,225 analyzed1,215,238
Combined Engagement
0
Total Likes
1,215,238
Total Retweets
243,048
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @elonmusk: the bird is freed
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @elonmusk: Reinstate former President Trump
RT @TuckerCarlson: Good evening https://t.co/SPrsYKWKCE
RT @TuckerCarlson: We’re back. https://t.co/sG5t9gr60O
Key Insights & Takeaways
He frequently comments on political figures and events, often taking a conservative stance. His tweets often reference current events and public figures, suggesting a focus on real-time commentary. He uses Twitter as a platform to express his religious and political beliefs to a broad audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 115,214
- + 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 @JDRucker reveals an exceptionally influential Twitter presence with 115,214 followers. The account demonstrates a conversation-first approach, averaging 2,128.9 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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