0xRaskalov

0xRaskalov

@Raskalov

Fighting to make the world less boring! #ontheroofs

Citizen of the World https://linktr.ee/raskalov Joined 2010-07-11 Date of Analysis: Dec 16, 2025

11,923

Followers

758

Following

14,418

Tweets

17.3

Avg Engagement

130

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Raskalov'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: Mid-Tier (10K+)
  • Account Age:2010-07-11
  • Verification:No
  • Location:Citizen of the World

Data Summary

  • Tweets Analyzed:3,248
  • Avg Likes per Tweet:8.8
  • Avg Retweets per Tweet:8.5
  • Followers Analyzed:11,679
  • Following Analyzed:517

Engagement Analysis

Based on 3,248 tweets

Posts receive an average of 478 likes and 156 retweets, indicating a moderately engaged audience. The content is well-received, with a focus on high-quality visuals and storytelling.

8.8

Avg Likes/Tweet

8.5

Avg Retweets/Tweet

28,544

Total Likes

27,720

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

6

75th Percentile

8,242

Top Tweet

1.45

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

12.9%

Original

72.0%

Replies

10.4%

Retweets

4.7%

Quotes

0.0%

Threads

8.2%

With Media

33.8%

With Links

1.4%

With #Tags

82.3%

With @Mentions

18.4%

With Emojis

63

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

5.58

Reply/Original Ratio

0.45

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.3%

Weekday Posts

26.7%

Weekend Posts

Top Hashtags

#ontheroofs (11) #nkf2023 (2) #nftkoreafestival (2) #playnomm (2) #artisart (2) #4 (2) #11 (2) #7 (2) #3 (2) #superchiefnft (1)

Most Mentioned

@em1t_ (362) @ontheroofs (137) @andr3w (115) @superrare (112) @lilmahnaji (88) @superchiefnft (79) @cafromthesky (69) @foundation (68) @crysyphus (68) @raskalov (66)

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Content Strategy Analysis

Based on 3,248 tweets

Content Type Distribution

Content Breakdown

Original Tweets 419 (13%)
Replies 2,340 (72%)
Retweets 337 (10%)
Quote Tweets 152 (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 337 retweets (10% 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 3,248 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 11,679 followers

The audience is likely interested in travel, photography, and adventure. They are drawn to visually striking content and real-life experiences from different parts of the world.

Good

Audience Quality

16.8%

Suspicion Index

19.9%

Low-Quality %

106

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.4%

Empty Bio

11.9%

<10 Tweets

18.3%

Mass Following (>2K)

0.0%

New (<90 days)

27.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

66.5%

No URL

7.4%

<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.

51,859,762

Total Potential Reach

106

Median Follower Reach

504

75th Percentile Reach

16.5%

>1K followers

3.1%

>10K followers

0.6%

>50K followers

0.4%

>100K followers

Creator vs Consumer Split

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

72.9%

Creators

8,513 accounts

15.2%

Consumers

1,774 accounts

11.9%

Dormant

1,392 accounts

82

Verified Followers

0.7% of total

11.0%

Professional Bios

founder, dev, analyst, etc.

0.25

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):

Moscow (193) Москва (166) Ukraine (114) Moscow, Russia (107) Metaverse (92) Москва, Россия (72) Los Angeles, CA (68) Russia (65) United States (60) London, England (55)

82

Verified Followers

0.7% of total

1,306

Protected Accounts

11.18% of total

8 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 14,106,778 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,253 - -
@selcukerdem 3,428,240 Cartoonist Cartooning, NFTs, Art
@WhaleCartel 2,733,648 - -
@PPTeamRafa 2,471,518 Influencer Vlogs, Jump, Team
@HollyHaganBlyth 1,536,172 Reality TV Star Geordie Shore, Makeup, Booking
@w76 814,454 Politician Opportunities, Renewal, Success
@streetoshi 591,403 - -
@varlamov 587,554 Journalist journalism, architecture, photography
@DaveVescio 539,417 Actor Movies, Art, Transformation

Top Keywords in Follower Bios

nft (887) artist (744) photographer (594) art (528) digital (283) nfts (270) crypto (235) collector (231) web (210) love (195)

Top Hashtags in Follower Bios

#nft (236) #nftartist (68) #nfts (62) #bitcoin (47) #nftart (34) #nftcommunity (33) #eth (29) #crypto (28) #btc (27) #nftcollector (24)

7,896

Followers With Bio

3,783

Followers Without Bio

67.61%

% With Bio

32.39%

% 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 3,248 analyzed

16,944

Combined Engagement

3,068

Total Likes

13,876

Total Retweets

3,389

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

80%

With @Mentions

100%

With Links

Topical Analysis:

Travel Adventure Photography Storytelling Exploration

Network & Following Analysis

Based on 517 accounts followed

Following Quality Signals

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

53.6%

Verified Accounts

17.0%

High Authority (>50K)

100.0%

Dormant Accounts

3.9%

Low Quality

7,632

Median Reach of Followed Accounts

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

87.4%

Individuals

452 accounts

7.7%

Brands/Orgs

40 accounts

4.8%

Media/News

25 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 154,995,023 Entrepreneur Space, Technology, Innovation
@JohnCena John Cena 14,155,595 Wrestler Wrestling, Motivation, Self-promotion
@verified Verified 4,193,262 - -
@selcukerdem Selçuk Erdem 3,396,216 Cartoonist Cartooning, NFTs, Art
@garyvee Gary Vaynerchuk 3,126,295 Entrepreneur Family, CEO, Investor
@Ukraine Ukraine / Україна 2,302,606 Government politics, culture, language
@cobie cobie 737,044 Crypto Influencer Crypto, Drunk, UpOnlyTV
@Pentosh1 Pentoshi 🐧 euroPeng 🇪🇺 700,728 Meme Creator Bitcoin, Memes, Privacy
@greg16676935420 greg 696,000 Investor football, stocks, golf
@unitofculture Unit of Culture 566,160 - -

Key Insights & Takeaways

Raskalov's top tweets include visually captivating moments like being on the roof of a cathedral and a long train ride in the Sahara. Their content often features personal travel stories and unique perspectives from different countries. They use hashtags and links to enhance engagement and provide additional context to their posts.

Strengths

  • + Established follower base of 11,923
  • + 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 @Raskalov reveals an growing Twitter presence with 11,923 followers. The account demonstrates a conversation-first approach, averaging 17.3 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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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