Dmitri Alperovitch

Dmitri Alperovitch

@DAlperovitch

Geopolitics, NatSec, Great Power Competition, Cybersecurity. Chairman @SilveradoPolicy; Host @GeopolDecanted; Founder @alperovitch; Co-Founder @CrowdStrike

USA https://silverado.org/ Joined 2011-06-10 Date of Analysis: Dec 16, 2025

204,069

Followers

2,088

Following

4,141

Tweets

573.1

Avg Engagement

5,910

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DAlperovitch'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:2011-06-10
  • Verification:No
  • Location:USA

Data Summary

  • Tweets Analyzed:2,744
  • Avg Likes per Tweet:473.3
  • Avg Retweets per Tweet:99.8
  • Followers Analyzed:50,000

Engagement Analysis

Based on 2,744 tweets

His tweets receive high engagement, with an average of 23k likes and 5k retweets. This indicates a highly interactive and interested audience.

473.3

Avg Likes/Tweet

99.8

Avg Retweets/Tweet

1,298,659

Total Likes

273,812

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

110

Median Likes

18

Median Retweets

388

75th Percentile

65,711

Top Tweet

2.81

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

19.0%

Original

50.3%

Replies

5.6%

Retweets

25.0%

Quotes

0.0%

Threads

0.4%

With Media

46.7%

With Links

2.0%

With #Tags

43.4%

With @Mentions

2.6%

With Emojis

168

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.65

Reply/Original Ratio

4.43

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.2%

Weekday Posts

29.8%

Weekend Posts

Top Hashtags

#msc2023 (7) #1 (6) #svbcollapse (4) #2 (3) #3 (3) #pelosi (3) #silveradosummit2023 (2) #unsanctioned (2) #log4j (2) #3cxpocalypse (1)

Most Mentioned

@kofmanmichael (181) @geopoldecanted (93) @ralee85 (75) @twitterspaces (56) @silveradopolicy (41) @pstasiatech (29) @massdara (25) @djrothkopf (23) @deepstateradio (22) @shashj (18)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 2,744 tweets

Content Type Distribution

Content Breakdown

Original Tweets 522 (19%)
Replies 1,381 (50%)
Retweets 155 (6%)
Quote Tweets 686 (25%)

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 155 retweets (6% 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 2,744 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 includes policymakers, military analysts, and cybersecurity professionals interested in global security. Followers are likely engaged in discussions about Russia's actions and strategic threats.

Average

Audience Quality

26.3%

Suspicion Index

31.2%

Low-Quality %

47

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

45.0%

Empty Bio

24.1%

<10 Tweets

17.3%

Mass Following (>2K)

0.0%

New (<90 days)

55.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.8%

No URL

17.4%

<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.

Try Bot Detector

Follower Reach & Influence

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

93,185,105

Total Potential Reach

47

Median Follower Reach

240

75th Percentile Reach

10.3%

>1K followers

1.8%

>10K followers

0.5%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

59.4%

Creators

29,697 accounts

16.5%

Consumers

8,258 accounts

24.1%

Dormant

12,045 accounts

814

Verified Followers

1.63% of total

10.1%

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):

London, England (383) United States (343) Washington, DC (340) London (284) New York, NY (159) United Kingdom (142) Paris, France (141) Los Angeles, CA (134) Canada (123) Berlin (114)

1,620

Verified Followers

1.6% of total

11,969

Protected Accounts

11.85% 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 14,100,275 Wrestler Wrestling, Motivation, Self-promotion
@NateSilver538 3,441,956 Statistician Sports, Politics, Food
@suthichai 3,098,411 Entrepreneur business, media, entrepreneurship
@elcitizen 2,900,671 TV Host Politics, News, Journalism
@ibepacheco 2,127,539 Journalist Periodista, escritora, libertad
@NickKristof 1,951,063 Farmer Oregon, farmer, author
@mitchellreports 1,920,254 Journalist Politics, Foreign Affairs, Journalism
@tedlieu 1,658,195 Politician Family, USAF, Congress
@LeonKrauze 1,584,289 Journalist TV, Journalism, Podcasts
@brithume 1,385,462 Political Analyst Politics, News, Analysis

Top Keywords in Follower Bios

views (1,582) politics (1,500) love (1,276) world (1,249) life (1,170) security (1,160) former (1,159) opinions (1,122) history (1,090) tweets (1,025)

Top Hashtags in Follower Bios

#nafo (523) #standwithukraine (232) #bitcoin (222) #blm (163) #resist (154) #slavaukraini (91) #voteblue (83) #ukraine (81) #fella (70) #fbpe (68)

56,899

Followers With Bio

44,098

Followers Without Bio

56.34%

% With Bio

43.66%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 2,744 analyzed

205,984

Combined Engagement

167,572

Total Likes

38,412

Total Retweets

41,197

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

0%

With @Mentions

40%

With Links

Topical Analysis:

Geopolitics National Security Cybersecurity Great Power Competition Russia-Ukraine Conflict
Dmitri Alperovitch
@DAlperovitch

There are many people right now who are arguing that Putin has somehow changed/lost it/gone mad and is not the man he used to be. I couldn't disagree more. They have simply not been paying attention. This is who he has *always* been 🧵

2022-02-28
Retweets: 10,521 Likes: 55,190 Engagement: 65,711
Dmitri Alperovitch
@DAlperovitch

Zelensky tonight: “If you want to know what Russia is planning, look at what Russia is accusing others of planning to do” (referencing the false accusations that Ukraine is building biological weapons and planning chemical weapons attack)

2022-03-11
Retweets: 7,429 Likes: 35,719 Engagement: 43,148
Dmitri Alperovitch
@DAlperovitch

Fascinating claimed intercepted call from Russian officer near Mykolaiv to superiors in Russia. He says: - This is worse than Chechnya - 50% of troops have frostbite - They can’t evacuate the dead - Don’t have enough tents - RU plane dropped a bomb on their own position 🧵 https:/

2022-03-23
Retweets: 9,546 Likes: 29,672 Engagement: 39,218
Dmitri Alperovitch
@DAlperovitch

Zelensky throwing serious shade tonight: “You know they (Russians) used to talk about their biggest dream: to see Paris and die… their dream now is to steal a toilet and die" https://t.co/p9kUTJAcJm

2022-04-22
Retweets: 5,101 Likes: 24,471 Engagement: 29,572
Dmitri Alperovitch
@DAlperovitch

Now that the Russians have switched tactics from pursuing a rapid victory on the cheap (failed miserably) and reverted to the mean of leveling Ukrainian cities to the ground like they did with Grozny and Aleppo, the goals of the operation are likely changing as well 🧵

2022-03-01
Retweets: 5,815 Likes: 22,520 Engagement: 28,335

Key Insights & Takeaways

His analysis often challenges narratives about Putin's behavior, suggesting he remains a calculated leader. He highlights the importance of Zelensky's warnings about Russian intentions, indicating a strategic shift in the conflict. The intercepted call provides insight into the severity of the situation on the front lines, suggesting a potential escalation.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 204,069
  • + 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 @DAlperovitch reveals an well-established Twitter presence with 204,069 followers. The account demonstrates a conversation-first approach, averaging 573.1 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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