Ben Hunt
Hope has two beautiful daughters - Anger and Courage. Anger at the way things are, and Courage to see that they do not remain as they are. - St. Augustine
164,708
Followers
1,804
Following
33,925
Tweets
111.2
Avg Engagement
3,893
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @EpsilonTheory'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:2013-07-23
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:55.6
- Avg Retweets per Tweet:55.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsEpsilonTheory consistently receives high engagement, with an average of 2,567 likes and 333 retweets per tweet, indicating a dedicated and active audience interested in financial topics.
55.6
Avg Likes/Tweet
55.6
Avg Retweets/Tweet
180,115
Total Likes
180,009
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
4
Median Likes
0
Median Retweets
45
75th Percentile
47,870
Top Tweet
0.68
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
5.4%
Original
68.4%
Replies
12.9%
Retweets
13.2%
Quotes
0.0%
Threads
0.3%
With Media
29.3%
With Links
1.1%
With #Tags
75.8%
With @Mentions
2.8%
With Emojis
112
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
12.67
Reply/Original Ratio
1.02
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
69.2%
Weekday Posts
30.8%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,239 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 419 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 3,239 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 finance professionals, investors, and individuals interested in economic trends and corporate strategies. They are drawn to the blend of analysis and philosophical depth.
Average
Audience Quality
25.5%
Suspicion Index
30.7%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
42.4%
Empty Bio
26.9%
<10 Tweets
14.0%
Mass Following (>2K)
0.0%
New (<90 days)
53.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
19.0%
<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.
74,639,765
Total Potential Reach
46
Median Follower Reach
193
75th Percentile Reach
7.7%
>1K followers
1.4%
>10K followers
0.4%
>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).
54.7%
Creators
27,350 accounts
18.4%
Consumers
9,193 accounts
26.9%
Dormant
13,457 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):
3,594
Verified Followers
3.56% of total
12,495
Protected Accounts
12.37% of total
7 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 | 14,100,851 | Wrestler | Wrestling, Motivation, Self-promotion |
| @jack | 6,523,848 | Cryptocurrency Trader | bitcoin, chill, #nostr |
| @Hammad_Azhar | 1,992,275 | Politician | Energy, Politics, Pakistan |
| @hodgetwins | 1,938,784 | Comedians | Merch, Giveaways, Podcast |
| @TerribleMaps | 1,807,860 | Cartographer | Maps, Humour, Business |
| @AndrewYang | 1,697,898 | Entrepreneur | Entrepreneur, UBI, Human-Centered Economy |
| @chamath | 1,662,363 | CEO | Investing, Space, Basketball |
| @APompliano | 1,642,207 | Entrepreneur | Entrepreneurship, Investing, Learning |
| @unusual_whales | 1,307,966 | Finance Trading | Stocks, Options, Crypto |
| @terra_money | 1,090,856 | Cryptocurrency Developer | DeFi, Stablecoin, Decentralized |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
58,361
Followers With Bio
42,635
Followers Without Bio
57.79%
% With Bio
42.21%
% 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.
Buy Follower Data
Export full follower list with profile details, bios, locations, and follower counts as CSV.
Buy Followers - from $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,239 analyzed117,860
Combined Engagement
19,646
Total Likes
98,214
Total Retweets
23,572
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
40%
With Links
Topical Analysis:
RT @0xDesigner: Probably the best thing you'll see today. In 2017, a group of developers hilariously competed for who could create worst v…
RT @leesteffen: There are only 10 types of movies. (A short thread) 1. Orange and blue action https://t.co/YwKABlrsSZ
It's so weird that the macroeconomic environment has impacted Tesla (-41%) and not Ford (+1%) or GM (+8%) over the past six months. It's almost as if something else happened in mid-October. https://t.co/uX2ihiKEUt https://t.co/4KKckmD1di
RT @latkedelrey: i love how casual people are about having a cough that doesn’t go away for months after you get sick now
The US gov’t required every recipient of Madoff funds - including noted foundations and endowments - to return the money. Sorry, all you politicians and foundations and media orgs that took Bankman-Fried’s money … you’re no different. Give it back. Now.
Key Insights & Takeaways
The US gov’t required every recipient of Madoff funds - including noted foundations and endowments - to return the money. Sorry, all you politicians BlockFi got a $400m credit line from FTX US and drew down $250m, not in cash but in FTT tokens. BlockFi lent $680m to Alameda, not in FTT tokens but i LOL. Salesforce sales & marketing expense 50x net profit. Like Google, it’s a company intentionally designed to make multi-millionaires out of mid
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 164,708
- + 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 @EpsilonTheory reveals an well-established Twitter presence with 164,708 followers. The account demonstrates a conversation-first approach, averaging 111.2 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.
Need Programmatic Access?
We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.
Register Interest for API Access