Ilya Varlamov
Ilya Varlamov. Журналист, архитектор, фотограф, основатель фонда "Городские проекты". Занимаюсь творческим воровством твитов, мне не стыдно.
597,402
Followers
393
Following
139,451
Tweets
306.4
Avg Engagement
3,211
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @varlamov'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:2009-05-16
- Verification:No
- Location:Moscow
Data Summary
- Tweets Analyzed:3,241
- Avg Likes per Tweet:274.6
- Avg Retweets per Tweet:31.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,241 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The engagement suggests his content resonates with a broad and active community.
274.6
Avg Likes/Tweet
31.8
Avg Retweets/Tweet
890,020
Total Likes
103,026
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
89
Median Likes
5
Median Retweets
255
75th Percentile
24,409
Top Tweet
0.51
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
84.4%
Original
7.2%
Replies
7.7%
Retweets
0.8%
Quotes
0.0%
Threads
0.0%
With Media
83.9%
With Links
1.7%
With #Tags
10.2%
With @Mentions
2.2%
With Emojis
190
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.08
Reply/Original Ratio
0.1
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.0%
Weekday Posts
26.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,241 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 248 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 3,241 tweetsEngagement 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 followersHis audience includes people interested in journalism, architecture, and social issues. They are likely drawn to his unique voice and critical perspective.
Below Average
Audience Quality
39.5%
Suspicion Index
62.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
71.0%
Empty Bio
65.0%
<10 Tweets
1.6%
Mass Following (>2K)
0.0%
New (<90 days)
74.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
94.6%
No URL
53.7%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
5,400,180
Total Potential Reach
1
Median Follower Reach
7
75th Percentile Reach
1.0%
>1K followers
0.1%
>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).
18.2%
Creators
9,090 accounts
16.8%
Consumers
8,407 accounts
65.0%
Dormant
32,503 accounts
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):
189
Verified Followers
0.19% of total
7,335
Protected Accounts
7.26% of total
3 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 |
|---|---|---|---|
| @IamMzilikazi | 546,102 | Musician | Pan-African music, Album, Rise |
| @Matador000 | 489,335 | Caricaturist | Caricatures, Art, Humor |
| @bweglarczyk | 443,647 | Editor | journalism, Europe, United States |
| @mashayangteam | 352,772 | Influencer | Fashion, Beauty, Lifestyle |
| @anders_aslund | 309,128 | Economist | Russia, Ukraine, Eastern Europe |
| @johnnjenga | 278,331 | Academic | Politics, Memory, Research |
| @elbegdorj | 265,520 | Politician | Politics, Diplomacy, Leadership |
| @OlgaNYC1211 | 256,245 | Analyst | Kremlin, organized crime, Eastern Europe |
| @ally_breelsen | 233,972 | Adult entertainer | modeling, adult entertainment, fun |
| @MuseumWeek | 230,759 | Cultural Event | art, culture, heritage |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
33,090
Followers With Bio
67,908
Followers Without Bio
32.76%
% With Bio
67.24%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,241 analyzed56,834
Combined Engagement
30,904
Total Likes
25,930
Total Retweets
11,367
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
RT @vidsthatgohard: This was a crazy night on twitter https://t.co/6cWshgTrbH
Как же все заебало
Так, Твиттер же заблочили, ЧТО ВЫ ТУТ ВСЕ ДЕЛАЕТЕ?
Нижегородцев почему-то просят не унывать. Как думаете, что случилось? https://t.co/YNO6tSd0pG
Как же все заебало…
Key Insights & Takeaways
He uses humor and sarcasm to engage his audience and provoke thought. His tweets often reflect personal experiences and observations about society. He maintains a consistent and distinctive voice that sets him apart on the platform.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 597,402
- + Strong original content creation
- + 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 @varlamov reveals an well-established Twitter presence with 597,402 followers. The account demonstrates a content-creator strategy, averaging 306.4 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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