David Pakman 🟦
I invest in crypto @coinfund_io. @DapperLabs, @flow_blockchain, @rarible, @DollarShaveClub Not investment advice, these are my personal opinions
209,126
Followers
1,573
Following
11,444
Tweets
357.3
Avg Engagement
1,275
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @pakman'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:2008-06-18
- Verification:No
- Location:NYC
Data Summary
- Tweets Analyzed:3,235
- Avg Likes per Tweet:8.5
- Avg Retweets per Tweet:348.8
- Followers Analyzed:50,000
- Following Analyzed:1,518
Engagement Analysis
Based on 3,235 tweetsHis tweets receive a high average number of likes and retweets, suggesting strong audience interaction. The engagement rate indicates that his content is both informative and thought-provoking for his followers.
8.5
Avg Likes/Tweet
348.8
Avg Retweets/Tweet
27,508
Total Likes
1,128,497
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
10
75th Percentile
124,031
Top Tweet
1.71
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
30.3%
Original
40.9%
Replies
19.2%
Retweets
9.6%
Quotes
0.0%
Threads
0.2%
With Media
46.3%
With Links
8.3%
With #Tags
74.0%
With @Mentions
4.0%
With Emojis
113
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.35
Reply/Original Ratio
0.5
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
88.1%
Weekday Posts
11.9%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,235 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 622 retweets (19% 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 3,235 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 followersHis followers are likely interested in cryptocurrency, blockchain technology, and investment strategies. They are likely active in the crypto community and follow discussions around market trends and project updates.
Average
Audience Quality
28.7%
Suspicion Index
40.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
49.4%
Empty Bio
41.3%
<10 Tweets
15.0%
Mass Following (>2K)
0.0%
New (<90 days)
44.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
68.2%
No URL
32.0%
<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.
249,877,301
Total Potential Reach
38
Median Follower Reach
340
75th Percentile Reach
13.2%
>1K followers
3.0%
>10K followers
0.8%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
42.8%
Creators
21,395 accounts
15.9%
Consumers
7,954 accounts
41.3%
Dormant
20,651 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):
1,270
Verified Followers
1.26% of total
8,455
Protected Accounts
8.37% of total
13 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 |
|---|---|---|---|
| @EllenDeGeneres | 76,134,685 | - | - |
| @JohnCena | 14,099,775 | Wrestler | Wrestling, Motivation, Self-promotion |
| @enews | 11,893,124 | Entertainment News | Entertainment, Celebrities, Pop culture |
| @Variety | 2,911,259 | Entertainment industry | Entertainment, Business, Variety |
| @20Minutes | 2,576,792 | News Outlet | Actualités, Politique, Sport |
| @BeatsByAssassin | 2,262,145 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,033,972 | - | - |
| @mtaibbi | 1,875,977 | Author | politics, journalism, podcasting |
| @NYSE | 1,691,554 | Finance | Finance, Investing, Opportunities |
| @tedlieu | 1,658,106 | Politician | Family, USAF, Congress |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
35,274
Followers With Bio
65,723
Followers Without Bio
34.93%
% With Bio
65.07%
% 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.
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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 3,235 analyzed407,173
Combined Engagement
0
Total Likes
407,173
Total Retweets
81,435
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @RTB_HRoss: NASA just released these 8 images of Jupiter taken by the Juno spacecraft, the highest resolution, most color detailed to da…
RT @johnfritchey: Canada must feel like they live in an apartment above a meth lab.
RT @maddow: BREAKING: We've got Trump tax returns. Tonight, 9pm ET. MSNBC. (Seriously).
RT @neiltyson: You Matter. Unless you multiply yourself by the speed of light squared. Then you Energy.
RT @MeredithFrost: So cool: Unearthed footage of Sylvester Stallone/Carl Weathers Choreography for Rocky in 1976 https://t.co/depECkYTak
Network & Following Analysis
Based on 1,518 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
34.7%
Verified Accounts
40.7%
High Authority (>50K)
100.0%
Dormant Accounts
5.5%
Low Quality
28,564
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
72.1%
Individuals
1,094 accounts
12.3%
Brands/Orgs
187 accounts
15.6%
Media/News
237 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @BarackObama Barack Obama | 131,946,887 | Politician | Family, Leadership, Citizenship |
| @cnnbrk CNN Breaking News | 63,830,219 | News Outlet | News, Breaking, Alerts |
| @BillGates Bill Gates | 63,547,183 | Philanthropist | Philanthropy, Learning, Technology |
| @nytimes The New York Times | 55,034,905 | News Organization | News, Tips, Share |
| @JoeBiden Joe Biden | 37,392,208 | Politician | Family, Leadership, America |
| @POTUS President Biden | 32,185,338 | - | - |
| @SpaceX SpaceX | 31,274,265 | Aerospace Engineer | Space, Rockets, Innovation |
| @TheEconomist The Economist | 27,165,704 | News outlet | News, analysis, global |
| @WhiteHouse45 The White House 45 Archived | 24,520,049 | Government Official | Politics, Government, History |
| @Tesla Tesla | 20,830,849 | Automotive/Tech | electric cars, batteries, solar |
Key Insights & Takeaways
He often highlights the importance of Ethereum as a key digital asset He critiques media narratives and calls out misinformation He engages with industry leaders and projects in the blockchain space
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 209,126
- + 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 @pakman reveals an well-established Twitter presence with 209,126 followers. The account demonstrates a conversation-first approach, averaging 357.3 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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