Crypto Rand

Crypto Rand

@crypto_rand

Trader & Investor. Building at @rr2capital. Learning about #AI

Madrid, Spain https://discord.com/invite/cryptorand Joined 2017-05-02 Date of Analysis: Dec 16, 2025

300,272

Followers

801

Following

26,836

Tweets

191.7

Avg Engagement

4,756

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @crypto_rand'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:2017-05-02
  • Verification:No
  • Location:Madrid, Spain

Data Summary

  • Tweets Analyzed:3,245
  • Avg Likes per Tweet:76.2
  • Avg Retweets per Tweet:115.5
  • Followers Analyzed:50,000
  • Following Analyzed:694

Engagement Analysis

Based on 3,245 tweets

The account has a consistent engagement rate with an average of 572 likes and 120 retweets per tweet. The verified status is low, suggesting a mix of public and private accounts in their network.

76.2

Avg Likes/Tweet

115.5

Avg Retweets/Tweet

247,319

Total Likes

374,781

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

13

Median Likes

2

Median Retweets

56

75th Percentile

220,946

Top Tweet

0.64

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

30.6%

Original

60.8%

Replies

8.3%

Retweets

0.4%

Quotes

0.0%

Threads

0.1%

With Media

41.6%

With Links

27.4%

With #Tags

67.9%

With @Mentions

49.5%

With Emojis

89

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.99

Reply/Original Ratio

0.04

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

92.6%

Weekday Posts

7.4%

Weekend Posts

Top Hashtags

#bitcoin (290) #crypto (192) #ftx (57) #sbf (52) #ai (39) #twitter (26) #ethereum (23) #ama (20) #nft (18) #cryptotwitter (18)

Most Mentioned

@elonmusk (250) @cz_binance (156) @crypto_rand (132) @altcoingordon (109) @rr2capital (76) @btc_archive (71) @stackersatoshi (49) @crypto_crib_ (38) @themooncarl (38) @cryptotony__ (31)

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Content Strategy Analysis

Based on 3,245 tweets

Content Type Distribution

Content Breakdown

Original Tweets 992 (31%)
Replies 1,973 (61%)
Retweets 268 (8%)
Quote Tweets 12 (0%)

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 268 retweets (8% 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 3,245 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

The audience is likely interested in cryptocurrency, trading, and financial markets, with a focus on real-time updates and market analysis. They may include traders, investors, and crypto enthusiasts.

Average

Audience Quality

24.8%

Suspicion Index

29.1%

Low-Quality %

26

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.2%

Empty Bio

20.6%

<10 Tweets

13.2%

Mass Following (>2K)

0.0%

New (<90 days)

56.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

87.8%

No URL

12.9%

<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.

77,339,924

Total Potential Reach

26

Median Follower Reach

125

75th Percentile Reach

5.2%

>1K followers

1.1%

>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).

49.0%

Creators

24,478 accounts

30.5%

Consumers

15,229 accounts

20.6%

Dormant

10,293 accounts

1,395

Verified Followers

2.79% of total

7.3%

Professional Bios

founder, dev, analyst, etc.

0.08

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 (309) London England (201) Metaverse (197) Nigeria (179) India (138) Pakistan (133) United Kingdom (118) Lagos Nigeria (115) Dubai United Arab Emirates (110) Earth (106)

1,506

Verified Followers

1.51% of total

6,292

Protected Accounts

6.29% 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
@JohnCena 14,102,331 Wrestler Wrestling, Motivation, Self-promotion
@CryptoWeb3_NFT 4,365,164 - -
@okx 2,942,330 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@WhaleCartel 2,727,692 - -
@SirKunt 2,253,577 - -
@SinghLions 1,334,608 Restaurateur Food, Travel, Influencer
@BrianDEvans 1,153,502 Entrepreneur NFTs, Crypto, Digital Marketing
@Bitboy_Crypto 1,055,261 - -
@LeBronJames 1,008,870 - -
@MattWallace888 959,158 YouTuber Crypto, Dogecoin, YouTube

Top Keywords in Follower Bios

crypto (8,762) bitcoin (3,236) nft (2,746) btc (2,073) trader (1,858) blockchain (1,764) enthusiast (1,698) web (1,593) investor (1,517) life (1,511)

Top Hashtags in Follower Bios

#bitcoin (2,609) #crypto (1,319) #btc (1,232) #nft (941) #eth (761) #bnb (490) #blockchain (443) #defi (441) #web3 (351) #nfts (294)

57,074

Followers With Bio

42,926

Followers Without Bio

57.07%

% With Bio

42.93%

% 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 3,245 analyzed

336,872

Combined Engagement

33,676

Total Likes

303,196

Total Retweets

67,374

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Cryptocurrency Trading Financial Markets Ai Business Strategy

Network & Following Analysis

Based on 694 accounts followed

Following Quality Signals

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

64.6%

Verified Accounts

62.1%

High Authority (>50K)

100.0%

Dormant Accounts

1.2%

Low Quality

77,988

Median Reach of Followed Accounts

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

76.2%

Individuals

529 accounts

13.3%

Brands/Orgs

92 accounts

10.5%

Media/News

73 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,015,250 Entrepreneur Space, Technology, Innovation
@binance Binance 10,756,140 Cryptocurrency Exchange Cryptocurrency, Blockchain, Digital Assets
@WillyrexYT Willyrex 8,881,822 YouTuber Gaming, NFTs, Esports
@cz_binance CZ 🔶 Binance 8,606,614 Cryptocurrency Trader Crypto, Binance, Bitcoin
@CoinMarketCap CoinMarketCap 5,990,868 Crypto Tracker Cryptocurrency, Revolution, Education
@coinbase Coinbase 🛡️ 5,866,161 Cryptocurrency Exchange crypto, buying, selling
@nayibbukele Nayib Bukele 5,433,387 Politician Politics, El Salvador, Leadership
@bysTaXx sTaXx 4,499,231 YouTuber Videos, Business, Internet
@verified Verified 4,193,282 - -
@okx OKX 3,498,596 Cryptocurrency Exchange Bitcoin, Crypto, Exchange

Key Insights & Takeaways

The account frequently shares breaking news and market updates, indicating a focus on real-time information. They emphasize company performance and financial strength, suggesting a strategic approach to investment. There is a clear interest in AI and its potential impact on the financial and crypto sectors.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 300,272
  • + 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 @crypto_rand reveals an well-established Twitter presence with 300,272 followers. The account demonstrates a conversation-first approach, averaging 191.7 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