David Weisburd 🚀

David Weisburd 🚀

@DWeisburd

Co-Founder 10X (NYSE: VCXB). Private investor in 500+ Co's including 23andMe, DraftKings, PIPE, Robinhood and Tonal. 🎥 Bravo - Below Deck & Real Housewives.

New York, NY https://www.10xcapital.com/ Joined 2010-01-07 Date of Analysis: Dec 16, 2025

23,441

Followers

520

Following

831

Tweets

112.8

Avg Engagement

91

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @DWeisburd'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:2010-01-07
  • Verification:Yes
  • Location:New York, NY

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:6.8
  • Avg Retweets per Tweet:106.0
  • Followers Analyzed:25,428

Engagement Analysis

Based on 500 tweets

His tweets typically receive a moderate number of likes and retweets, indicating a consistent but not overwhelming level of audience interaction. The engagement is likely driven by his investment background and personal stories.

6.8

Avg Likes/Tweet

106.0

Avg Retweets/Tweet

3,421

Total Likes

52,998

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

7

75th Percentile

9,310

Top Tweet

4.81

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

6.6%

Original

78.8%

Replies

13.0%

Retweets

1.6%

Quotes

0.0%

Threads

0.0%

With Media

10.0%

With Links

2.6%

With #Tags

94.2%

With @Mentions

11.0%

With Emojis

95

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

11.94

Reply/Original Ratio

0.12

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

85.4%

Weekday Posts

14.6%

Weekend Posts

Top Hashtags

#crypto (2) #vc (2) #1 (1) #nftcommunity (1) #cryptocurrency (1) #venturecapital (1) #startups (1) #notfinancialadvice (1) #weareallimmigrants (1) #8 (1)

Most Mentioned

@jason (29) @elonmusk (29) @harrystebbings (28) @davidsacks (19) @paulg (16) @zachcoelius (15) @geofflewisorg (14) @antoniogm (13) @pitdesi (12) @apompliano (12)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 33 (7%)
Replies 394 (79%)
Retweets 65 (13%)
Quote Tweets 8 (2%)

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 65 retweets (13% 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 500 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 25,428 followers

His audience includes investors, entrepreneurs, and fans of reality TV shows. They are likely interested in financial insights, personal narratives, and entertainment.

Average

Audience Quality

30.2%

Suspicion Index

6.6%

Low-Quality %

81

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

12.6%

Empty Bio

1.2%

<10 Tweets

56.9%

Mass Following (>2K)

0.0%

New (<90 days)

75.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.9%

No URL

0.7%

<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.

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Follower Reach & Influence

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

20,097,863

Total Potential Reach

81

Median Follower Reach

201

75th Percentile Reach

5.1%

>1K followers

0.6%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

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

95.8%

Creators

24,361 accounts

3.0%

Consumers

758 accounts

1.2%

Dormant

309 accounts

206

Verified Followers

0.81% of total

4.9%

Professional Bios

founder, dev, analyst, etc.

0.04

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 (710) Republic of the Philippines (423) she/her (254) 🇵🇭 (151) DKI Jakarta, Indonesia (127) Philippines (120) indonesia (117) 🇮🇩 (89) Jakarta Capital Region (85) Jawa Tengah, Indonesia (80)

206

Verified Followers

0.81% of total

1,032

Protected Accounts

4.06% 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
@TheWignus 2,489,021 - -
@APompliano 1,643,782 Entrepreneur Entrepreneurship, Investing, Learning
@rogerhamilton 929,461 Entrepreneur education, entrepreneurship, futurism
@NoraEstia 781,295 Crypto Influencer Crypto, Giveaways, NFT
@Jason 708,782 Investor startups, investing, podcasting
@DavidSacks 620,331 Venture Capitalist Venture Capital, Podcasting, Entrepreneurship
@davemcclure 348,199 Venture Capitalist Venture Capital, Education, Children's Media
@CryptoFeather_ 270,744 - -
@robtswthrayguns 259,724 Inventor synthwave, NFT, NSFW
@yo 205,962 Entrepreneur DTC, Marketing, GIFs

Top Keywords in Follower Bios

win (1,754) bigwin (1,422) hunter (1,350) big (1,324) akun (1,293) account (1,138) acc (1,121) bismillah (1,101) jihantesti (894) manifesting (780)

Top Hashtags in Follower Bios

#jihantesti (889) #ayuminati (724) #6 (618) #cutetesty (539) #ap8testi (353) #bull_bnb (325) #btc (324) #gemhostfamily (310) #bnb (302) #warsindia (278)

22,224

Followers With Bio

3,204

Followers Without Bio

87.4%

% With Bio

12.6%

% 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 500 analyzed

34,382

Combined Engagement

0

Total Likes

34,382

Total Retweets

6,876

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

20%

With Links

Topical Analysis:

Investing Personal Storytelling Market Analysis Entertainment Public Figures

Key Insights & Takeaways

He shares personal stories that humanize his investment background and build connection with his audience. He emphasizes the importance of market efficiency and economic value, which appeals to investors and entrepreneurs. He has a clear stance on public figures like Elon Musk, showing his confidence in his investment decisions and opinions.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 23,441
  • + 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 @DWeisburd reveals an well-established Twitter presence with 23,441 followers. The account demonstrates a conversation-first approach, averaging 112.8 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