David Gokhshtein

David Gokhshtein

@davidgokhshtein

founder @gokhshtein | founder of @hbh_nft | seen on @foxbusiness | posts & rt’s are not endorsements or finance advice.

New York https://gokhshtein.com/ Joined 2010-07-23 Date of Analysis: Dec 16, 2025

739,938

Followers

979

Following

127,205

Tweets

152.2

Avg Engagement

2,752

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @davidgokhshtein'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:2010-07-23
  • Verification:No
  • Location:New York

Data Summary

  • Tweets Analyzed:3,240
  • Avg Likes per Tweet:126.6
  • Avg Retweets per Tweet:25.6
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,240 tweets

His tweets typically receive an average of 1,407 likes and 269 retweets, indicating strong audience interaction. The verified user base of 3.1% suggests a mix of authentic and brand accounts.

126.6

Avg Likes/Tweet

25.6

Avg Retweets/Tweet

410,149

Total Likes

82,875

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

2

Median Likes

0

Median Retweets

31

75th Percentile

35,312

Top Tweet

0.21

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

15.9%

Original

73.6%

Replies

9.8%

Retweets

0.7%

Quotes

0.0%

Threads

0.1%

With Media

10.3%

With Links

4.2%

With #Tags

82.6%

With @Mentions

18.5%

With Emojis

45

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.64

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

76.7%

Weekday Posts

23.3%

Weekend Posts

Top Hashtags

#bitcoin (80) #nft (12) #crypto (10) #nfts (7) #ethereum (3) #cryptocurrency (3) #nftnyc (2) #nftnyc2023 (2) #web3 (2) #doge (2)

Most Mentioned

@gokhshteinmedia (351) @hbh_nft (104) @davidgokhshtein (103) @iamlauwolff (95) @jen1649 (91) @lesliem0tta (86) @stackierobins0n (84) @michellechabra (82) @dailyloud (78) @crypto_deb (70)

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Content Strategy Analysis

Based on 3,240 tweets

Content Type Distribution

Content Breakdown

Original Tweets 514 (16%)
Replies 2,386 (74%)
Retweets 316 (10%)
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 316 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 3,240 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 primarily consists of crypto enthusiasts and investors interested in NFTs and blockchain innovations. The audience is highly engaged and follows his insights closely.

Good

Audience Quality

19.0%

Suspicion Index

19.1%

Low-Quality %

65

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.1%

Empty Bio

16.3%

<10 Tweets

17.2%

Mass Following (>2K)

0.0%

New (<90 days)

37.9%

Low Ratio (<0.1)

0.0%

New (<180 days)

84.4%

No URL

10.2%

<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.

68,483,785

Total Potential Reach

65

Median Follower Reach

195

75th Percentile Reach

8.0%

>1K followers

1.2%

>10K followers

0.3%

>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).

65.4%

Creators

32,713 accounts

18.2%

Consumers

9,125 accounts

16.3%

Dormant

8,162 accounts

1,683

Verified Followers

3.37% of total

8.1%

Professional Bios

founder, dev, analyst, etc.

0.14

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):

Indonesia (651) United States (397) Republic of the Philippines (282) India (179) Nigeria (151) Metaverse (143) USA (129) Los Angeles, CA (109) United Kingdom (104) she/her (104)

3,132

Verified Followers

3.1% of total

3,446

Protected Accounts

3.41% 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
@CryptoWeb3_NFT 4,363,935 - -
@MoezMasoud 3,552,855 Scholar Cambridge Scholar, Cultural Critic, TV & Film Producer
@ClarissaYorke 2,592,344 Partner Manager Cyber security, Partner management, Gem hunting
@capturebizarre 2,425,901 Entertainment Entertainment, Leader, Bizarre
@SirKunt 2,254,218 - -
@opensea 2,000,372 NFT Marketplace NFTs, Marketplace, Discover
@CiervoKing 1,409,254 Crypto Promoter Crypto, Promoter, Golduck
@TheMoonCarl 1,305,438 Entrepreneur Bitcoin, Crypto Jobs, Investing
@SBF_FTX 1,076,996 CEO Cryptocurrency, Trading, Innovation
@NuBraveIN 1,075,189 Crypto Influencer Crypto, NFTs, Soodam

Top Keywords in Follower Bios

crypto (6,919) nft (3,719) account (2,635) web (2,215) love (2,061) life (1,974) akun (1,942) btc (1,814) eth (1,653) bitcoin (1,621)

Top Hashtags in Follower Bios

#crypto (1,305) #btc (1,273) #bitcoin (1,195) #nft (1,141) #eth (1,025) #bnb (980) #ngc_member (663) #web3 (470) #6 (376) #nfts (375)

68,236

Followers With Bio

32,760

Followers Without Bio

67.56%

% With Bio

32.44%

% 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 3,240 analyzed

123,457

Combined Engagement

101,882

Total Likes

21,575

Total Retweets

24,691

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Cryptocurrency Nfts Blockchain Speculation Digital Assets Tech Innovation

Key Insights & Takeaways

He frequently discusses the potential of cryptocurrencies like $DOGE and $FLOKI, highlighting their growing relevance in the market. He often shares news about major listings and developments in the crypto space, such as the listing of $FLOKI on Crypto.com. He makes speculative and thought-provoking statements, such as linking Steve Jobs to Satoshi Nakamoto, which sparks debate and engagement.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 739,938
  • + 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 @davidgokhshtein reveals an well-established Twitter presence with 739,938 followers. The account demonstrates a conversation-first approach, averaging 152.2 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