Pavel Durov

Pavel Durov

@durov

Founder, CEO at @telegram (2013), founder, ex-CEO of @vkontakte (2006), part-time troll.

EU Joined 2008-09-27 Date of Analysis: Dec 16, 2025

1,373,518

Followers

2,022

Tweets

228.2

Avg Engagement

4,543

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines durov'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: Mega Influencer (1M+)
  • Account Age:2008-09-27
  • Verification:Yes
  • Location:EU

Data Summary

  • Tweets Analyzed:2,010
  • Avg Likes per Tweet:132.5
  • Avg Retweets per Tweet:95.6
  • Followers Analyzed:25

Engagement Analysis

Based on 2,010 tweets

Durov's tweets receive a high number of likes and retweets, indicating strong audience interaction. His content often sparks discussions and support from his followers.

132.5

Avg Likes/Tweet

95.6

Avg Retweets/Tweet

266,420

Total Likes

192,240

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

7

Median Likes

3

Median Retweets

58

75th Percentile

23,660

Top Tweet

0.17

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

23.4%

Original

70.0%

Replies

5.5%

Retweets

1.2%

Quotes

0.0%

Threads

0.4%

With Media

25.0%

With Links

2.0%

With #Tags

87.1%

With @Mentions

4.7%

With Emojis

97

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.99

Reply/Original Ratio

0.22

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

72.8%

Weekday Posts

27.2%

Weekend Posts

Top Hashtags

#telegram (6) #tcdisrupt (3) #russia (2) #digitalresistance (2) #1 (2) #googleio (2) #snowdenlive (2) #whatsapp (2) #typical9may (2) #wef (1)

Most Mentioned

@telegram (466) @mikebutcher (27) @martinvars (27) @durov (26) @bascule (24) @snowden (19) @techcrunch (17) @tsyplukhin (16) @ncardozo (15) @whiteboxamir (15)

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Content Strategy Analysis

Based on 2,010 tweets

Content Type Distribution

Content Breakdown

Original Tweets 470 (23%)
Replies 1,406 (70%)
Retweets 110 (5%)
Quote Tweets 24 (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 110 retweets (5% 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 2,010 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 25 followers

His followers are likely tech enthusiasts, privacy advocates, and users of Telegram. The audience is engaged and interested in issues related to internet freedom and cybersecurity.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

0

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

96.0%

No URL

100.0%

<3 Tweets

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Follower Reach & Influence

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

819

Total Potential Reach

0

Median Follower Reach

1

75th Percentile Reach

0.0%

>1K followers

0.0%

>10K followers

0.0%

>50K followers

0.0%

>100K followers

Creator vs Consumer Split

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

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

25 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

russia (1) Санкт-Петербург, Россия (1) earth unfortunately (1)

2

Verified Followers

0.2% of total

75

Protected Accounts

7.5% of total

2 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
@Sabreen_News 115,525 - -
@mylifeasaurora_ 37,206 - -
@asal_abasian 29,830 - -
@vittorrent 28,555 - -
@rezolant 22,951 - -
@_roghyh 20,066 - -
@huhtoken 10,403 - -
@0xUID 7,768 - -
@betswrites 6,779 - -
@OfficialCWATSON 6,442 - -

Top Keywords in Follower Bios

developer (12) web (10) crypto (10) love (10) ckaro (10) live (7) student (6) lover (6) iran (6) life (6)

Top Hashtags in Follower Bios

#مهسا_امینی (9) #mahsaamini (4) #opiran (4) #linux (2) #bitcoin (2) #باگ (1) #نه_به_جمهوري_اسلامي (1) #مشروطه_خواه (1) #eos (1) #fairphone (1)

522

Followers With Bio

478

Followers Without Bio

52.2%

% With Bio

47.8%

% 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 2,010 analyzed

95,056

Combined Engagement

34,262

Total Likes

60,794

Total Retweets

19,011

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

80%

With Links

Topical Analysis:

Technology Privacy Internet Freedom Cybersecurity Leadership Advocacy

Key Insights & Takeaways

Durov frequently addresses technical issues affecting Telegram, such as server overheating and connectivity problems. He emphasizes the importance of user privacy and resistance to government pressure. His tweets often highlight events and movements related to internet freedom and digital rights.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 1,373,518
  • + 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 durov reveals an well-established Twitter presence with 1,373,518 followers. The account demonstrates a conversation-first approach, averaging 228.2 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