Justin Whang 🐙

Justin Whang 🐙

@JustinWhang

Not Steve Aoki. YouTube videos about pee and poo. I play guitar in a numetal band @wearejynx |https://metapcs.com/ use CODE: Whang | Biz: [email protected]

NYC https://beacons.page/whang Joined 2009-06-27 Date of Analysis: Dec 16, 2025

317,517

Followers

8,974

Following

127,640

Tweets

1,927.2

Avg Engagement

409

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @JustinWhang'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:2009-06-27
  • Verification:No
  • Location:NYC

Data Summary

  • Tweets Analyzed:3,171
  • Avg Likes per Tweet:553.0
  • Avg Retweets per Tweet:1,374.2
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,171 tweets

JustinWhang's tweets receive an average of 40k likes and 2k retweets, showing strong audience interaction. His content is both entertaining and thought-provoking, encouraging discussion.

553.0

Avg Likes/Tweet

1,374.2

Avg Retweets/Tweet

1,753,568

Total Likes

4,357,569

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

113

Median Retweets

1,151

75th Percentile

207,130

Top Tweet

6.07

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

4.1%

Original

8.8%

Replies

81.7%

Retweets

5.4%

Quotes

0.0%

Threads

0.6%

With Media

63.2%

With Links

1.7%

With #Tags

89.9%

With @Mentions

4.5%

With Emojis

84

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.14

Reply/Original Ratio

0.07

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

78.1%

Weekday Posts

21.9%

Weekend Posts

Top Hashtags

#fishtanklive (8) #dramaalert (5) #wrestlemania (3) #re4 (3) #fishtank (2) #aew (2) #evangelion (1) #1 (1) #boxing (1) #creatorclash2 (1)

Most Mentioned

@justinwhang (113) @numetal_moment (76) @chiweethegod (56) @thatsgoodweb (46) @normalsonicpics (35) @dieworkwear (29) @vintagepuro (29) @proudbugman (25) @3five9 (25) @localsoundwave (23)

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Content Strategy Analysis

Based on 3,171 tweets

Content Type Distribution

Content Breakdown

Original Tweets 131 (4%)
Replies 280 (9%)
Retweets 2,590 (82%)
Quote Tweets 170 (5%)

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 2,590 retweets (82% 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 3,171 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 young adults interested in humor, music, and unconventional content. They appreciate his candid and sometimes controversial take on pop culture and identity.

Average

Audience Quality

22.8%

Suspicion Index

22.6%

Low-Quality %

20

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

30.8%

Empty Bio

22.1%

<10 Tweets

7.3%

Mass Following (>2K)

0.0%

New (<90 days)

61.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

84.0%

No URL

14.4%

<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.

45,591,042

Total Potential Reach

20

Median Follower Reach

78

75th Percentile Reach

3.7%

>1K followers

0.8%

>10K followers

0.3%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

57.1%

Creators

28,533 accounts

20.8%

Consumers

10,409 accounts

22.1%

Dormant

11,058 accounts

511

Verified Followers

1.02% of total

4.1%

Professional Bios

founder, dev, analyst, etc.

0.07

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 (471) Canada (168) California, USA (153) Los Angeles, CA (149) Australia (139) he/him (128) Hell (127) she/her (108) Chicago, IL (107) Texas, USA (106)

909

Verified Followers

0.91% of total

10,246

Protected Accounts

10.25% of total

4 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
@pokimanelol 4,271,625 Streamer gaming, streaming, content creation
@Amouranth 3,664,746 Influencer Gaming, Fitness, Cosplay
@sarahcpr 2,113,300 Comedian comedy, author, speaker
@bunnydelphine 2,066,633 Influencer cats, cosplay, gaming
@ImagesAlbum 1,867,654 - -
@TerribleMaps 1,807,762 Cartographer Maps, Humour, Business
@jacksfilms 1,733,561 YouTuber YIAY, comedy, YouTube
@BishoujoMom 1,723,235 Adult entertainer e-MILF, content creator, favorite
@InternetH0F 1,447,583 Social Media Influencer Internet culture, Memes, Social media
@shirtsthtgohard 1,410,923 Fashion Influencer shirts, designs, creators

Top Keywords in Follower Bios

hehim (2,873) art (2,172) artist (2,135) account (2,033) love (1,942) games (1,674) twitter (1,577) sheher (1,567) make (1,394) music (1,321)

Top Hashtags in Follower Bios

#1 (278) #blm (92) #blacklivesmatter (84) #bitcoin (57) #actuallyautistic (37) #vtuber (33) #acab (31) #envtuber (27) #freepalestine (21) #stopasianhate (20)

71,669

Followers With Bio

28,331

Followers Without Bio

71.67%

% With Bio

28.33%

% 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 3,171 analyzed

643,920

Combined Engagement

525,375

Total Likes

118,545

Total Retweets

128,784

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

100%

With Links

Topical Analysis:

Humor Pop Culture Identity Music Controversy Niche Interests

Key Insights & Takeaways

His humor often revolves around pop culture and personal identity, which resonates with his audience. He uses a mix of music and comedy to engage followers, creating a unique brand. His content often sparks debate, indicating a polarizing but highly engaged audience.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 317,517
  • + 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 @JustinWhang reveals an exceptionally influential Twitter presence with 317,517 followers. The account demonstrates a conversation-first approach, averaging 1,927.2 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.

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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