Tim Wu
Professor at Columbia University (former official in Biden White House).
60,473
Followers
1,833
Following
685
Tweets
122.8
Avg Engagement
1,509
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @superwuster'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:2008-05-03
- Verification:No
- Location:New York, NY
Data Summary
- Tweets Analyzed:336
- Avg Likes per Tweet:110.1
- Avg Retweets per Tweet:12.7
- Followers Analyzed:9,998
Engagement Analysis
Based on 336 tweetsSuperwuster's tweets receive a moderate number of likes and retweets, suggesting a dedicated but not overly active audience. The engagement rate is consistent with their follower count.
110.1
Avg Likes/Tweet
12.7
Avg Retweets/Tweet
36,985
Total Likes
4,264
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
9
Median Likes
1
Median Retweets
36
75th Percentile
19,929
Top Tweet
2.03
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
55.1%
Original
39.3%
Replies
3.9%
Retweets
1.8%
Quotes
0.0%
Threads
0.6%
With Media
37.8%
With Links
3.6%
With #Tags
39.0%
With @Mentions
0.0%
With Emojis
156
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.71
Reply/Original Ratio
0.46
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
93.5%
Weekday Posts
6.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 336 tweetsContent Type Distribution
Content Breakdown
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 13 retweets (4% 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 336 tweetsEngagement 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 9,998 followersThe audience likely includes students, academics, and policy enthusiasts interested in political and technological topics. They may also be drawn to personal and relatable content.
Average
Audience Quality
22.6%
Suspicion Index
21.9%
Low-Quality %
123
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
30.4%
Empty Bio
19.5%
<10 Tweets
24.7%
Mass Following (>2K)
0.0%
New (<90 days)
41.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.3%
No URL
13.4%
<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 DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
61,731,997
Total Potential Reach
123
Median Follower Reach
519
75th Percentile Reach
17.4%
>1K followers
3.9%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
63.8%
Creators
6,378 accounts
16.7%
Consumers
1,671 accounts
19.5%
Dormant
1,949 accounts
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):
270
Verified Followers
2.7% of total
1,618
Protected Accounts
16.18% 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 | 14,075,852 | Wrestler | Wrestling, Motivation, Self-promotion |
| @AOC | 13,406,386 | Politician | politics, social justice, equality |
| @amyklobuchar | 2,044,250 | Politician | Politics, Minnesota, Legislation |
| @tedlieu | 1,658,151 | Politician | Family, USAF, Congress |
| @maggieNYT | 1,651,871 | Journalist | Politics, Journalism, Analysis |
| @LeBronJames | 938,618 | - | - |
| @donwinslow | 933,180 | Author | books, writing, reading |
| @JoeTrippi | 778,025 | Political Strategist | Dem Strategist, Pro-Democracy, Podcast Host |
| @costareports | 741,263 | Reporter | Politics, Journalism, Writing |
| @yashar | 707,976 | Journalist | Politics, News, Culture |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,965
Followers With Bio
3,035
Followers Without Bio
69.65%
% With Bio
30.35%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 336 analyzed31,401
Combined Engagement
29,169
Total Likes
2,232
Total Retweets
6,280
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
The fact that this rice cooker worked for 25+ years of constant usage without fail makes me want to praise its engineers -- and the fact that the new model is identical to the old suggests they knew they got it right. https://t.co/C13sxEveQC
My children have taken the replacement of our family rice cooker (with an exact replica) more seriously than I had anticipated https://t.co/1JZd1KvHRK
While many facts missjng, more I look more I doubt the proposed PGA - LIV merger will survive serious antitrust scrutiny, not to mention potential CFIUS review. The champagne was popped prematurely (and reporters should have been more careful with their use of the past tense)
RT @nytimes: Wendy Rush, the wife of Stockton Rush, the OceanGate CEO piloting the submersible that disappeared during a dive to the Titanic wreckage, is a descendant of two first-class passengers who died when the ocean liner sank in 1912, archival records show. https://t.co/6n3
No one who has been in government service thinks just getting on someone's private jet is fine. And everyone knew that the Argentinian debt case stood to personally enrich Paul Singer. No one, left or right, should be defending Justice Alito here.
Key Insights & Takeaways
Superwuster's content often highlights personal experiences with technology, such as the longevity of a rice cooker. They frequently engage with political and business topics, including antitrust issues and sports mergers. Their tweets reflect a balance between academic and personal commentary, appealing to a diverse audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 60,473
- + 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 @superwuster reveals an well-established Twitter presence with 60,473 followers. The account demonstrates a content-creator strategy, averaging 122.8 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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