🔥 Sir Lord Joel Comm 👑

🔥 Sir Lord Joel Comm 👑

@joelcomm

Read pinned tweet and follow @realjoelcomm

The Republic of Bad Cryptopia https://joelcomm.com/ Joined 2007-05-17 Date of Analysis: Dec 16, 2025

629,371

Followers

5,049

Following

1,140

Tweets

449.1

Avg Engagement

7,654

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @joelcomm'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:2007-05-17
  • Verification:No
  • Location:The Republic of Bad Cryptopia

Data Summary

  • Tweets Analyzed:860
  • Avg Likes per Tweet:58.5
  • Avg Retweets per Tweet:390.6
  • Followers Analyzed:50,000
  • Following Analyzed:3,257

Engagement Analysis

Based on 860 tweets

The average engagement per tweet is moderate, with likes and retweets indicating some level of interaction. His top tweets often spark discussion due to their controversial or informative nature.

58.5

Avg Likes/Tweet

390.6

Avg Retweets/Tweet

50,333

Total Likes

335,899

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

4

Median Likes

0

Median Retweets

68

75th Percentile

28,764

Top Tweet

0.71

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

6.7%

Original

63.5%

Replies

16.9%

Retweets

12.9%

Quotes

0.0%

Threads

0.0%

With Media

27.8%

With Links

9.1%

With #Tags

84.2%

With @Mentions

3.5%

With Emojis

107

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

9.41

Reply/Original Ratio

0.77

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

76.6%

Weekday Posts

23.4%

Weekend Posts

Top Hashtags

#ai (15) #chatgpt (9) #nft (8) #bitcoin (6) #midjourney (6) #nfts (5) #waxnft (4) #1 (3) #podcast (2) #robots (2)

Most Mentioned

@marionawfal (47) @mitchellvii (47) @elonmusk (46) @teedubya (19) @wax_io (18) @badcryptopod (17) @joelcomm (14) @scottadamssays (14) @tarabull808 (12) @inspiredmoneyfm (11)

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Content Strategy Analysis

Based on 860 tweets

Content Type Distribution

Content Breakdown

Original Tweets 58 (7%)
Replies 546 (63%)
Retweets 145 (17%)
Quote Tweets 111 (13%)

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 145 retweets (17% 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 860 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 50,000 followers

His audience is likely interested in cryptocurrency, NFTs, and political commentary. They engage with his tweets, showing interest in his personal views and predictions.

Good

Audience Quality

18.2%

Suspicion Index

14.1%

Low-Quality %

141

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21.5%

Empty Bio

13.4%

<10 Tweets

25.7%

Mass Following (>2K)

0.0%

New (<90 days)

30.4%

Low Ratio (<0.1)

0.0%

New (<180 days)

67.4%

No URL

6.7%

<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.

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Follower Reach & Influence

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

185,889,630

Total Potential Reach

141

Median Follower Reach

542

75th Percentile Reach

16.3%

>1K followers

2.9%

>10K followers

1.0%

>50K followers

0.6%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

65.6%

Creators

32,801 accounts

21.0%

Consumers

10,480 accounts

13.4%

Dormant

6,719 accounts

1,873

Verified Followers

3.75% of total

15.6%

Professional Bios

founder, dev, analyst, etc.

0.18

Median Follow Ratio

follower/following

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):

United States (808) Metaverse (394) London, England (324) Los Angeles, CA (290) Lagos, Nigeria (246) India (241) USA (226) United Kingdom (222) Nigeria (220) New York, USA (210)

2,667

Verified Followers

2.64% of total

4,759

Protected Accounts

4.71% 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 14,105,297 Wrestler Wrestling, Motivation, Self-promotion
@CoinMarketCap 5,873,015 Crypto Tracker Cryptocurrency, Revolution, Education
@Naija_PR 3,869,053 News Aggregator -
@kayleighmcenany 3,312,115 Political Commentator Politics, News, Media
@kalnaga 2,772,504 Actor Satellites, NFT, Blockchain
@cryptocom 2,651,532 Cryptocurrency Trader Cryptocurrency, Trading, DeFi
@TrustWallet 2,298,020 Crypto Wallet Crypto, Wallet, Spooky
@AnwarLodhi 2,264,413 Journalist Journalism, HR, Blogging
@TomFitton 2,133,461 Lawyer Politics, Law, Government
@zlj517 1,994,536 Spokesman Geopolitics, Diplomacy, Communication

Top Keywords in Follower Bios

nft (4,516) crypto (4,113) love (3,787) life (3,277) marketing (2,795) business (2,744) digital (2,603) nfts (2,192) world (2,081) music (2,059)

Top Hashtags in Follower Bios

#nft (1,393) #bitcoin (1,232) #crypto (860) #blockchain (692) #nfts (582) #btc (477) #eth (389) #cryptocurrency (366) #marketing (317) #ai (298)

79,388

Followers With Bio

21,611

Followers Without Bio

78.6%

% With Bio

21.4%

% 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 Tweet Data

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Viral Tweets

Top 5 by likes+RTs from 860 analyzed

122,579

Combined Engagement

0

Total Likes

122,579

Total Retweets

24,516

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Nfts Cryptocurrency Political Commentary Personal Anecdotes Media Criticism

Network & Following Analysis

Based on 3,257 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

33.4%

Verified Accounts

30.9%

High Authority (>50K)

0.6%

Dormant Accounts

2.5%

Low Quality

11,232

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

47.4%

Individuals

1,543 accounts

50.9%

Brands/Orgs

1,659 accounts

1.7%

Media/News

55 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Ellen DeGeneres 77,837,036 - -
@ Elon Musk 60,823,283 - -
@ Bill Gates 55,735,672 - -
@ President Trump 45 Archived 32,651,804 - -
@ The White House 45 Archived 25,858,248 - -
@ SpaceX 18,249,083 - -
@ Melania Trump 45 Archived 16,115,760 - -
@ Ricky Gervais 14,492,828 - -
@ Stephen Fry 12,473,558 - -
@ The Onion 11,691,118 - -

Key Insights & Takeaways

He frequently shares personal opinions on NFT collections and their potential success. He discusses political scandals and media silence, suggesting a focus on current events. He uses personal anecdotes, such as his experience with the flu shot, to add a relatable angle to his tweets.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 629,371
  • + 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 @joelcomm reveals an well-established Twitter presence with 629,371 followers. The account demonstrates a conversation-first approach, averaging 449.1 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: Dec 16, 2025