Dave Rubin
Florida Man
1,474,201
Followers
851
Following
99,473
Tweets
1,127.5
Avg Engagement
6,067
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RubinReport'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: Mega Influencer (1M+)
- Account Age:2008-12-25
- Verification:No
- Location:🐊😎🇺🇸
Data Summary
- Tweets Analyzed:3,244
- Avg Likes per Tweet:901.4
- Avg Retweets per Tweet:226.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,244 tweetsThe account consistently receives high engagement, indicating a loyal and active audience. Its tweets often spark discussions and retweets, especially on controversial tech and political topics.
901.4
Avg Likes/Tweet
226.2
Avg Retweets/Tweet
2,924,000
Total Likes
733,740
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
354
Median Likes
44
Median Retweets
1,097
75th Percentile
88,054
Top Tweet
0.76
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
26.9%
Original
31.4%
Replies
13.0%
Retweets
28.8%
Quotes
0.0%
Threads
0.1%
With Media
62.4%
With Links
1.4%
With #Tags
59.6%
With @Mentions
11.8%
With Emojis
122
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.17
Reply/Original Ratio
2.22
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
94.9%
Weekday Posts
5.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,244 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 421 retweets (13% 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 3,244 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 followersThe audience likely includes politically engaged users and tech enthusiasts interested in media manipulation and platform dynamics. They are active on social media and interested in in-depth analysis.
Average
Audience Quality
28.8%
Suspicion Index
41.5%
Low-Quality %
13
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
57.7%
Empty Bio
35.7%
<10 Tweets
6.6%
Mass Following (>2K)
0.0%
New (<90 days)
58.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.3%
No URL
25.3%
<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.
156,487,451
Total Potential Reach
13
Median Follower Reach
64
75th Percentile Reach
4.7%
>1K followers
0.4%
>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).
41.6%
Creators
20,810 accounts
22.7%
Consumers
11,350 accounts
35.7%
Dormant
17,840 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):
4,039
Verified Followers
4.04% of total
6,496
Protected Accounts
6.5% 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 |
|---|---|---|---|
| @elonmusk | 134,899,877 | Entrepreneur | Space, Technology, Innovation |
| @Timcast | 1,569,723 | Journalist | Journalism, Commentary, Skateboarding |
| @Ryback | 1,379,295 | Wrestler | Wrestling, Nutrition, YouTube |
| @SarahHuckabee | 1,228,175 | Politician | Christian, Republican, Arkansan |
| @RWMaloneMD | 1,080,330 | Medical Researcher | mRNA vaccines, RNA as a drug, Biologics consulting |
| @mfriasoficial | 957,833 | Politician | Cultura, Governo, Especial |
| @ScottGottliebMD | 587,175 | Healthcare | Healthcare, Policy, Innovation |
| @andreporci | 550,838 | Politician | Culture, Police, Telegram |
| @DennisKoutoudis | 543,954 | - | - |
| @RoseRayy | 513,807 | Influencer | Fashion, Beauty, Love |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
43,863
Followers With Bio
56,137
Followers Without Bio
43.86%
% With Bio
56.14%
% 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 3,244 analyzed359,718
Combined Engagement
225,273
Total Likes
134,445
Total Retweets
71,944
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
80%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: Here we go!! 🍿🍿
Spent last two days at Twitter in SF talking to engineers, product managers and yes, @elonmusk. Learned a ton about what’s going on. Before I share, want to note that after couple hour meeting I asked Elon what I could share and he said, “anything that’s true.” 🧵time…
Does anyone find all this stuff a bit odd or am I a crazy conspiracy theorist? https://t.co/lwimFtPeEU
Holy sheep shit. The government was actually paying Twitter to censor people. @elonmusk, maybe there is a way to make Twitter profitable! (Though will cost you your soul.) https://t.co/7oDPozZXpF
Absolutely insane watching The Machine go after @elonmusk for defending free speech. This whole exchange is kabuki theater, from the ridiculous leading question by the “journalist” to KJP’s obviously pre-planned response. https://t.co/JBCnwQ8d6c
Key Insights & Takeaways
The account frequently highlights concerns about tech companies' influence on politics and social media. It engages with industry leaders and insiders, providing insider perspectives on platform changes. It emphasizes the importance of transparency and accountability in tech and media.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,474,201
- + 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 @RubinReport reveals an exceptionally influential Twitter presence with 1,474,201 followers. The account demonstrates a conversation-first approach, averaging 1,127.5 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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