Marc Rubinstein

Marc Rubinstein

@MarcRuby

Former hedge fund manager, writing about finance at https://www.netinterest.co/ and Bloomberg @opinion.

London, England https://www.netinterest.co/about Joined 2011-09-27 Date of Analysis: 12月 16, 2025

25,920

Followers

512

Following

3,147

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:15,223

Engagement Analysis

Based on 500 tweets

Ruby'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

16,538

Total Likes

4,305

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

0

Median Retweets

20

75th Percentile

2,738

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

#bank (1) #svb (1) #blackmonday (1)

Most Mentioned

@dsquareddigest (27) @marcruby (23) @jeuasommenulle (14) @izakaminska (8) @opinion (8) @business (8) @epsilontheory (7) @neckarvalue (7) @ekmokaya (6) @patio11 (6)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 103 (21%)
Replies 285 (57%)
Retweets 63 (13%)
Quote Tweets 49 (10%)

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 tweets

Engagement 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 15,223 followers

His 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

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

25,587,321

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

15,223 accounts

196

Verified Followers

1.29% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

London, England (438) New York, NY (313) London (288) San Francisco, CA (197) New York, USA (109) Singapore (103) Chicago, IL (100) United States (97) New York (92) India (87)

1,157

Verified Followers

4.66% of total

3,983

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 3,426,060 Cartoonist Cartooning, NFTs, Art
@BrianDEvans 1,141,468 Entrepreneur NFTs, Crypto, Digital Marketing
@SBF_FTX 1,078,880 CEO Cryptocurrency, Trading, Innovation
@cdixon 882,339 Venture Capitalist Programming, philosophy, history
@Jason 708,707 Investor startups, investing, podcasting
@mkraju 636,396 Journalist Politics, Chicago sports, Wisconsin Badgers
@TrungTPhan 614,567 Writer business, tech, podcast
@vijayshekhar 594,511 Entrepreneur Fintech, Entrepreneurship, Innovation
@Nouriel 580,363 Economist Economics, Finance, Cryptocurrency
@opinion 515,954 - -

Top Keywords in Follower Bios

investor (1,073) investment (688) finance (664) investing (616) views (598) advice (567) financial (514) tech (502) markets (501) fintech (486)

Top Hashtags in Follower Bios

#fintech (124) #bitcoin (103) #fpl (48) #crypto (36) #ai (33) #finance (25) #tech (21) #web3 (21) #btc (18) #payments (17)

14,399

Followers With Bio

10,410

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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Viral Tweets

Top 5 by likes+RTs from 500 analyzed

7,742

Combined Engagement

5,722

Total Likes

2,020

Total Retweets

1,548

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Finance Investment Market Analysis Risk Management Institutional Behavior Economic Trends

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 25,920
  • + 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 25,920 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: 12月 16, 2025