Will Fan🕊

Will Fan🕊

@hellowillfan

Rethinking education models, financing and communities. Head of School @newcampushq. Strategic Partner at @opencampus_xyz.

Singapore https://linktr.ee/hellowillfan Joined 2014-12-18 Date of Analysis: Dec 16, 2025

52,613

Followers

10,980

Following

6,666

Tweets

301.4

Avg Engagement

94

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @hellowillfan'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:2014-12-18
  • Verification:No
  • Location:Singapore

Data Summary

  • Tweets Analyzed:3,240
  • Avg Likes per Tweet:52.7
  • Avg Retweets per Tweet:248.7
  • Followers Analyzed:50,000
  • Following Analyzed:10,000

Engagement Analysis

Based on 3,240 tweets

The account has high average likes and retweets, indicating strong audience interaction. Promotional content with clear calls to action drives engagement.

52.7

Avg Likes/Tweet

248.7

Avg Retweets/Tweet

170,804

Total Likes

805,780

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

5

Median Likes

1

Median Retweets

29

75th Percentile

334,070

Top Tweet

5.73

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

31.6%

Original

46.9%

Replies

12.7%

Retweets

8.9%

Quotes

0.0%

Threads

0.2%

With Media

35.7%

With Links

2.2%

With #Tags

70.9%

With @Mentions

13.5%

With Emojis

124

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.48

Reply/Original Ratio

0.7

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

69.9%

Weekday Posts

30.1%

Weekend Posts

Top Hashtags

#nft (9) #1 (9) #onisquad (7) #nfts (7) #newprofilepic (6) #oni (4) #nftgame (4) #nftiff (2) #web3 (2) #ghozaligang (2)

Most Mentioned

@junglefreaksnft (250) @hellowillfan (210) @memeland (96) @9gagceo (93) @moonrunnersnft (77) @onisquadgg (74) @theprince______ (46) @newcampushq (37) @karafurunft (30) @gucci (30)

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Content Strategy Analysis

Based on 3,240 tweets

Content Type Distribution

Content Breakdown

Original Tweets 1,025 (32%)
Replies 1,518 (47%)
Retweets 410 (13%)
Quote Tweets 287 (9%)

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 410 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 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

The audience appears to be interested in education, innovation, and community engagement. They are likely educators, students, and professionals in related fields.

Good

Audience Quality

17.7%

Suspicion Index

8.2%

Low-Quality %

64

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

15.0%

Empty Bio

3.1%

<10 Tweets

21.3%

Mass Following (>2K)

0.0%

New (<90 days)

52.1%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.6%

No URL

1.4%

<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.

76,764,230

Total Potential Reach

64

Median Follower Reach

293

75th Percentile Reach

11.3%

>1K followers

1.7%

>10K followers

0.4%

>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).

84.7%

Creators

42,360 accounts

12.2%

Consumers

6,085 accounts

3.1%

Dormant

1,555 accounts

1,994

Verified Followers

3.99% of total

12.3%

Professional Bios

founder, dev, analyst, etc.

0.09

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):

Metaverse (679) Singapore (648) Hong Kong (353) Indonesia (284) Malaysia (268) Taiwan (249) America (216) United States (215) Japan (174) USA (165)

0

Verified Followers

0.0% of total

180

Protected Accounts

1.8% of total

4 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 14,092,285 Wrestler Wrestling, Motivation, Self-promotion
@TheWignus 2,476,975 - -
@miguelhotero 1,935,811 Journalist Politics, Journalism, Leadership
@SinghLions 1,325,917 Restaurateur Food, Travel, Influencer
@MarioNawfal 919,858 - -
@ranzkyle 864,055 Influencer Dance, Vlogs, Music
@zaycevartist 585,614 - -
@PeteLau 382,364 Product Officer Technology, Innovation, Smartphones
@TFGmykL 381,128 Entrepreneur Gaming, NFTs, eSports
@g13m 376,582 - -

Top Keywords in Follower Bios

nft (1,855) web (847) crypto (780) nfts (602) collector (400) enthusiast (346) artist (317) art (304) degen (298) eth (283)

Top Hashtags in Follower Bios

#nft (323) #eth (126) #crypto (111) #nfts (111) #solana (94) #btc (90) #web3 (86) #bitcoin (80) #zkapes (45) #sol (42)

8,600

Followers With Bio

1,400

Followers Without Bio

86.0%

% With Bio

14.0%

% 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

534,002

Combined Engagement

0

Total Likes

534,002

Total Retweets

106,800

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

40%

With Links

Topical Analysis:

Education Innovation Community Engagement Promotion User Interaction

Network & Following Analysis

Based on 10,000 accounts followed

Following Quality Signals

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

36.4%

Verified Accounts

10.2%

High Authority (>50K)

100.0%

Dormant Accounts

7.0%

Low Quality

2,637

Median Reach of Followed Accounts

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

87.5%

Individuals

8,748 accounts

7.6%

Brands/Orgs

762 accounts

4.9%

Media/News

490 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,055,511 Entrepreneur Space, Technology, Innovation
@KimKardashian Kim Kardashian 75,121,323 Entrepreneur Fragrance, Skims, Beauty
@X X 66,571,308 Social Media Manager -
@jimmyfallon Jimmy Fallon 50,265,737 Comedian Comedy, TV, Music
@kanyewest ye 31,750,768 - -
@MrBeast MrBeast 23,505,633 YouTuber Philanthropy, YouTube, Charity
@Eminem Marshall Mathers 22,198,494 Rapper rap, music, Detroit
@VancityReynolds Ryan Reynolds 21,494,387 Actor gin, mobile, soccer
@SnoopDogg Snoop Dogg 20,739,019 Rapper music, cannabis, entertainment
@Forbes Forbes 19,382,552 Media entrepreneurship, business, money

Key Insights & Takeaways

The account uses unique campaign structures with rewards for participation, such as extra entries for tagging friends. It leverages verified accounts and partnerships to boost credibility and reach. Content is highly interactive, encouraging user involvement through likes, retweets, and tagging.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 52,613
  • + 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 @hellowillfan reveals an well-established Twitter presence with 52,613 followers. The account demonstrates a conversation-first approach, averaging 301.4 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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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