ZachXBT

ZachXBT

@zachxbt

Rug pull survivor turned 2D detective

donations: zachxbt.eth https://t.me/investigations Joined 2015-02-08 Date of Analysis: 12月 16, 2025

444,749

Followers

1,502

Following

14,865

Tweets

254.0

Avg Engagement

5,104

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @zachxbt'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:2015-02-08
  • Verification:Yes
  • Location:donations: zachxbt.eth

Data Summary

  • Tweets Analyzed:3,244
  • Avg Likes per Tweet:225.9
  • Avg Retweets per Tweet:28.1
  • Followers Analyzed:50,000
  • Following Analyzed:1,501

Engagement Analysis

Based on 3,244 tweets

Zachxbt's tweets typically receive high engagement, with an average of 8,371 likes and 1,917 retweets, indicating a highly active and interested audience. His content often sparks discussions and debates within the crypto community.

225.9

Avg Likes/Tweet

28.1

Avg Retweets/Tweet

732,760

Total Likes

91,119

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

37

Median Likes

0

Median Retweets

160

75th Percentile

23,345

Top Tweet

0.57

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

3.3%

Original

95.1%

Replies

0.4%

Retweets

1.2%

Quotes

0.0%

Threads

0.2%

With Media

45.4%

With Links

0.2%

With #Tags

85.0%

With @Mentions

1.1%

With Emojis

95

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

28.82

Reply/Original Ratio

3.08

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

77.7%

Weekday Posts

22.3%

Weekend Posts

Top Hashtags

#ad (2) #1 (1) #positivevibesonly (1) #notofud (1) #9528 (1) #freesmolting (1)

Most Mentioned

@inversebrah (81) @cl207 (76) @jakethedegen (48) @tier10k (46) @0xfoobar (44) @cobie (40) @tree_of_alpha (28) @basedkarbon (28) @bax1337 (28) @icebergy_ (25)

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Content Strategy Analysis

Based on 3,244 tweets

Content Type Distribution

Content Breakdown

Original Tweets 107 (3%)
Replies 3,084 (95%)
Retweets 13 (0%)
Quote Tweets 40 (1%)

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 13 retweets (0% 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 3,244 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 primarily consists of crypto investors and enthusiasts who are interested in security, fraud prevention, and market analysis. They are likely looking for insights into scams, market trends, and ethical practices in the crypto space.

Good

Audience Quality

18.0%

Suspicion Index

22.4%

Low-Quality %

62

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

33.2%

Empty Bio

18.3%

<10 Tweets

11.1%

Mass Following (>2K)

0.0%

New (<90 days)

34.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

81.7%

No URL

11.6%

<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.

77,369,321

Total Potential Reach

62

Median Follower Reach

301

75th Percentile Reach

12.1%

>1K followers

1.9%

>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).

60.0%

Creators

30,025 accounts

21.7%

Consumers

10,833 accounts

18.3%

Dormant

9,142 accounts

150

Verified Followers

0.3% of total

13.0%

Professional Bios

founder, dev, analyst, etc.

0.16

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):

Metaverse (441) United States (348) London, England (251) Los Angeles, CA (206) Earth (193) India (184) United Kingdom (172) Singapore (159) Australia (151) Canada (147)

372

Verified Followers

0.37% of total

6,066

Protected Accounts

6.01% of total

5 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
@cz_binance 8,348,758 Cryptocurrency Trader Crypto, Binance, Bitcoin
@CryptoWeb3_NFT 4,363,033 - -
@verified 4,201,309 - -
@justinsuntron 3,449,029 Entrepreneur Cryptocurrency, Blockchain, Technology
@okx 2,914,828 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@SirKunt 2,257,968 - -
@Cointelegraph 1,887,024 Crypto News Bitcoin, Ethereum, blockchain
@gabrielleydon 1,301,614 - -
@pmarca 1,232,922 Investor Tucked shirt
@NuBraveIN 1,074,154 Crypto Influencer Crypto, NFTs, Soodam

Top Keywords in Follower Bios

crypto (9,245) web (5,268) nft (4,797) bitcoin (3,471) enthusiast (2,727) blockchain (2,421) nfts (2,193) btc (2,077) trader (2,040) eth (1,880)

Top Hashtags in Follower Bios

#bitcoin (2,724) #btc (1,152) #crypto (1,128) #nft (1,051) #eth (769) #web3 (727) #defi (480) #nfts (412) #bnb (401) #blockchain (392)

67,847

Followers With Bio

33,151

Followers Without Bio

67.18%

% With Bio

32.82%

% 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 3,244 analyzed

63,575

Combined Engagement

53,128

Total Likes

10,447

Total Retweets

12,715

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

60%

With @Mentions

80%

With Links

Topical Analysis:

Crypto Fraud Influencer Ethics Phishing Scams Investor Protection Market Transparency

Network & Following Analysis

Based on 1,501 accounts followed

Following Quality Signals

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

55.9%

Verified Accounts

29.1%

High Authority (>50K)

100.0%

Dormant Accounts

4.7%

Low Quality

15,974

Median Reach of Followed Accounts

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

82.1%

Individuals

1,232 accounts

8.8%

Brands/Orgs

132 accounts

9.1%

Media/News

137 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,066,713 Entrepreneur Space, Technology, Innovation
@X X 66,572,063 Social Media Manager -
@binance Binance 10,756,738 Cryptocurrency Exchange Cryptocurrency, Blockchain, Digital Assets
@cz_binance CZ 🔶 Binance 8,607,234 Cryptocurrency Trader Crypto, Binance, Bitcoin
@Snowden Edward Snowden 5,752,724 Whistleblower government, public, freedom of press
@nayibbukele Nayib Bukele 5,433,860 Politician Politics, El Salvador, Leadership
@VitalikButerin vitalik.eth 4,984,927 Cryptocurrency Developer Ethereum, Dragon Tyrant, Abolition
@okx OKX 3,498,485 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@justinsuntron H.E. Justin Sun 孙宇晨 3,464,974 Entrepreneur Cryptocurrency, Blockchain, Technology
@DezBryant Dez Bryant 3,457,338 Athlete Athlete, Founder, #ThrowUpTheX

Key Insights & Takeaways

Zachxbt focuses on exposing crypto fraud and unethical influencer behavior. He highlights the impact of phishing scams and the need for accountability in the crypto space. His work often emphasizes the importance of transparency and security for investors.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 444,749
  • + 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 @zachxbt reveals an well-established Twitter presence with 444,749 followers. The account demonstrates a conversation-first approach, averaging 254.0 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