Marc Rubinstein
Former hedge fund manager, writing about finance at https://www.netinterest.co/ and Bloomberg @opinion.
25920
Followers
512
Following
3147
Tweets
41,7
Avg Engagement
581
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @MarcRuby'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:2011-09-27
- Verification:Yes
- Location:London, England
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:33,1
- Avg Retweets per Tweet:8,6
- Followers Analyzed:15223
Engagement Analysis
Based on 500 tweetsRuby's tweets typically receive high engagement, with an average of 811 likes and 136 retweets per post. This indicates a strong and active audience interested in his financial commentary.
33,1
Avg Likes/Tweet
8,6
Avg Retweets/Tweet
16538
Total Likes
4305
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
20
75th Percentile
2738
Top Tweet
1,61
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
20,6%
Original
57,0%
Replies
12,6%
Retweets
9,8%
Quotes
0,0%
Threads
0,0%
With Media
48,2%
With Links
0,6%
With #Tags
69,2%
With @Mentions
3,2%
With Emojis
117
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2,77
Reply/Original Ratio
0,78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
67,0%
Weekday Posts
33,0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 63 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 500 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 15223 followersHis audience primarily consists of finance professionals, investors, and individuals interested in market trends. The content is tailored to those with a foundational understanding of financial markets and investment strategies.
Below Average
Audience Quality
37,5%
Suspicion Index
100,0%
Low-Quality %
75
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100,0%
Empty Bio
100,0%
<10 Tweets
0,0%
Mass Following (>2K)
0,0%
New (<90 days)
0,0%
Low Ratio (<0.1)
0,0%
New (<180 days)
80,0%
No URL
100,0%
<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.
25587321
Total Potential Reach
75
Median Follower Reach
314
75th Percentile Reach
12,0%
>1K followers
2,4%
>10K followers
0,5%
>50K followers
0,2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0,0%
Creators
0 accounts
0,0%
Consumers
0 accounts
100,0%
Dormant
15223 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):
1157
Verified Followers
4.66% of total
3983
Protected Accounts
16.05% of total
9 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 |
|---|---|---|---|
| @selcukerdem | 3426060 | Cartoonist | Cartooning, NFTs, Art |
| @BrianDEvans | 1141468 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @SBF_FTX | 1078880 | CEO | Cryptocurrency, Trading, Innovation |
| @cdixon | 882339 | Venture Capitalist | Programming, philosophy, history |
| @Jason | 708707 | Investor | startups, investing, podcasting |
| @mkraju | 636396 | Journalist | Politics, Chicago sports, Wisconsin Badgers |
| @TrungTPhan | 614567 | Writer | business, tech, podcast |
| @vijayshekhar | 594511 | Entrepreneur | Fintech, Entrepreneurship, Innovation |
| @Nouriel | 580363 | Economist | Economics, Finance, Cryptocurrency |
| @opinion | 515954 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
14399
Followers With Bio
10410
Followers Without Bio
58.04%
% With Bio
41.96%
% 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 500 analyzed7742
Combined Engagement
5722
Total Likes
2020
Total Retweets
1548
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
"Panics do not destroy capital; they merely reveal the extent to which it has been previously destroyed by its betrayal into hopelessly unproductive works." John Mills, 1867
I've removed the paywall on this one https://t.co/JwKSTcndM3
CEO of Apollo, Marc Rowan, is one of the shrewdest investors out there. In Sept/Oct, his firm was on the other side of 1/3 of the liquidity supply that stemmed from LDI-related forced selling. Here's what he had to say on his firm's earnings call today 👇
RT @KrisMachowski: 1/15: Ever looked at an order book and been mesmerised by how it moves? Just me? A short thread about how displaying ord…
One of these countries stands out https://t.co/lAOHILHt1t
Key Insights & Takeaways
Ruby often highlights the importance of risk management and the dangers of overreliance on hope in investing. He critiques market behaviors and the role of institutional players in liquidity crises. His analysis frequently touches on the intersection of finance, economics, and personal investment strategies.
Strengths
- + Established follower base of 25920
- + 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 @MarcRuby reveals an growing Twitter presence with 25920 followers. The account demonstrates a conversation-first approach, averaging 41,7 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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