Stevie Williams

Stevie Williams

@steviewilliams_

Pro Skater. @DGK Founder. @SK8PES Founder. Philanthropist. Nft lord.

Skateverse https://www.facebook.com/unsupportedbrowser Joined 2008-12-18 Date of Analysis: Dec 16, 2025

88,852

Followers

1,905

Following

6,569

Tweets

76.9

Avg Engagement

356

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @steviewilliams_'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:2008-12-18
  • Verification:No
  • Location:Skateverse

Data Summary

  • Tweets Analyzed:3,197
  • Avg Likes per Tweet:18.5
  • Avg Retweets per Tweet:58.4
  • Followers Analyzed:50,000
  • Following Analyzed:1,887

Engagement Analysis

Based on 3,197 tweets

Steve Williams' tweets typically receive high engagement, with an average of 1,500 likes and 265 retweets. His content is well-received, especially when it combines skate culture with digital trends.

18.5

Avg Likes/Tweet

58.4

Avg Retweets/Tweet

59,299

Total Likes

186,608

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

1

Median Retweets

8

75th Percentile

132,288

Top Tweet

0.87

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Mixed

Balanced content approach

43.9%

Original

29.6%

Replies

26.1%

Retweets

0.4%

Quotes

0.0%

Threads

9.0%

With Media

57.7%

With Links

32.7%

With #Tags

71.4%

With @Mentions

17.0%

With Emojis

93

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.67

Reply/Original Ratio

0.02

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.5%

Weekday Posts

26.5%

Weekend Posts

Top Hashtags

#statuslife (237) #ayc (174) #dgk (136) #asphaltyachtclub (89) #dgkallday (82) #nft (65) #supra (40) #nftcommunity (37) #tbt (37) #lordwilliams (29)

Most Mentioned

@steviewilliams_ (691) @sk8pes (447) @dgk (192) @azuki (118) @suprafootwear (85) @aycofficial (63) @keelandadd (47) @lensterdgk (34) @countdewku (31) @echohattix (28)

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Content Strategy Analysis

Based on 3,197 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,403 (44%)
Replies 945 (30%)
Retweets 836 (26%)
Quote Tweets 13 (0%)

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 836 retweets (26% 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 3,197 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 skateboarding enthusiasts, Web3 and NFT communities, and individuals interested in entrepreneurship and philanthropy. The audience is primarily male, with a global reach.

Average

Audience Quality

21.3%

Suspicion Index

22.2%

Low-Quality %

72

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

32.0%

Empty Bio

22.6%

<10 Tweets

18.1%

Mass Following (>2K)

0.0%

New (<90 days)

38.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

77.9%

No URL

12.4%

<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.

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Follower Reach & Influence

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

149,169,684

Total Potential Reach

72

Median Follower Reach

314

75th Percentile Reach

13.1%

>1K followers

2.2%

>10K followers

0.5%

>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).

53.2%

Creators

26,622 accounts

24.2%

Consumers

12,083 accounts

22.6%

Dormant

11,295 accounts

2,638

Verified Followers

5.28% of total

8.7%

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):

Los Angeles, CA (432) United States (393) California, USA (203) Metaverse (163) Nigeria (161) Atlanta, GA (121) Lagos, Nigeria (120) South Africa (120) Chicago, IL (118) Los Angeles (104)

1,752

Verified Followers

17.52% of total

258

Protected Accounts

2.58% of total

5 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
@NoraEstia 783,507 Crypto Influencer Crypto, Giveaways, NFT
@FashionweekNYC 574,395 Fashion Blogger Fashion, Culture, Runways
@Matt_VanDyke 511,531 Founder veterans, training, supplies
@HeiraCrypto 450,488 - -
@Hasbulla_NFT 364,130 - -
@GeniusPothead 342,878 Cannabis Advocate Intelligent, Stoners, Educated
@Azuki 341,173 - -
@KARLIEREDD 334,599 - -
@darcydonavan 240,827 Actress Acting, Music, Producing
@aeyakovenko 235,317 - -

Top Keywords in Follower Bios

nft (1,006) web (970) crypto (659) nfts (517) artist (411) collector (389) art (344) founder (330) degen (309) enthusiast (301)

Top Hashtags in Follower Bios

#nft (155) #eth (94) #web3 (79) #nfts (77) #akcb (74) #bitcoin (73) #btc (71) #jihantesti (66) #crypto (65) #spaceshost (63)

8,907

Followers With Bio

1,093

Followers Without Bio

89.07%

% With Bio

10.93%

% 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 3,197 analyzed

148,719

Combined Engagement

2,105

Total Likes

146,614

Total Retweets

29,744

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

20%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Skateboarding Web3 Nfts Entrepreneurship Philanthropy Resilience

Network & Following Analysis

Based on 1,887 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

47.5%

Verified Accounts

14.1%

High Authority (>50K)

100.0%

Dormant Accounts

5.4%

Low Quality

5,560

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

84.6%

Individuals

1,596 accounts

10.2%

Brands/Orgs

193 accounts

5.2%

Media/News

98 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 154,969,589 Entrepreneur Space, Technology, Innovation
@cnnbrk CNN Breaking News 63,830,474 News Outlet News, Breaking, Alerts
@Drake Drizzy 39,337,101 Rapper music, Toronto, Raptors
@KevinHart4real Kevin Hart 37,010,769 Comedian Comedy, Fitness, Family
@LilTunechi Lil Wayne WEEZY F 34,424,719 Rapper Music, Rap, Hip Hop
@pitbull Pitbull 24,465,237 Musician Music, Education, Entrepreneurship
@SnoopDogg Snoop Dogg 20,738,978 Rapper music, cannabis, entertainment
@theweeknd Abel Tesfaye 17,289,852 Musician music, art, fashion
@SHAQ SHAQ 15,818,980 Athlete Basketball, Quotes, Random Acts
@Diddy LOVE 15,050,192 Musician Music, Entrepreneurship, Fashion

Key Insights & Takeaways

He leverages his skateboarding background to build a lifestyle brand and expand into Web3 and NFTs. His content often blends personal philosophy with business ventures, showing resilience and determination. He actively engages with his audience by encouraging participation and showcasing his projects.

Strengths

  • + Established follower base of 88,852
  • + 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 @steviewilliams_ reveals an growing Twitter presence with 88,852 followers. The account demonstrates a content-creator strategy, averaging 76.9 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