Kevin Rose
CEO @proof_xyz | @moonbirds Partner @trueventures
1,647,582
Followers
2,067
Following
14,504
Tweets
977.1
Avg Engagement
26,507
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @kevinrose'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: Mega Influencer (1M+)
- Account Age:2007-01-18
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,236
- Avg Likes per Tweet:160.6
- Avg Retweets per Tweet:816.4
- Followers Analyzed:50,000
- Following Analyzed:2,032
Engagement Analysis
Based on 3,236 tweetsRose's tweets receive a high average number of likes and retweets, indicating strong audience interaction. His personal experiences, such as being hacked, also generate significant engagement and discussion.
160.6
Avg Likes/Tweet
816.4
Avg Retweets/Tweet
519,761
Total Likes
2,642,010
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
39
Median Likes
5
Median Retweets
228
75th Percentile
517,268
Top Tweet
0.59
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
29.1%
Original
48.2%
Replies
11.1%
Retweets
11.6%
Quotes
0.0%
Threads
0.2%
With Media
37.7%
With Links
4.1%
With #Tags
73.1%
With @Mentions
21.2%
With Emojis
102
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.66
Reply/Original Ratio
1.04
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
76.5%
Weekday Posts
23.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,236 tweetsContent Type Distribution
Content Breakdown
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 359 retweets (11% 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 3,236 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 50,000 followersHis audience is primarily interested in web3, crypto, and NFTs, with a focus on market analysis and project development. They are likely investors, developers, and enthusiasts looking for guidance and updates in the space.
Good
Audience Quality
17.8%
Suspicion Index
16.5%
Low-Quality %
138
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.5%
Empty Bio
16.1%
<10 Tweets
20.3%
Mass Following (>2K)
0.0%
New (<90 days)
31.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
72.3%
No URL
10.4%
<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.
110,779,575
Total Potential Reach
138
Median Follower Reach
683
75th Percentile Reach
19.8%
>1K followers
2.8%
>10K followers
0.6%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
65.3%
Creators
32,643 accounts
18.6%
Consumers
9,304 accounts
16.1%
Dormant
8,053 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):
7,784
Verified Followers
7.78% of total
3,471
Protected Accounts
3.47% 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 |
|---|---|---|---|
| @steveaoki | 8,124,674 | DJ | Music, DJing, Collaboration |
| @jccaylen | 6,293,677 | - | - |
| @sundarpichai | 5,195,346 | CEO | Technology, Innovation, Leadership |
| @DrakeBell | 4,341,801 | Musician | Music, NFTs, Crypto |
| @MarioGoetze | 4,138,055 | Footballer | Football, Sports, Gaming |
| @MatthewEspinosa | 3,753,011 | Actor | Acting, Writing, Podcasting |
| @SergiRoberto10 | 2,635,495 | Footballer | Football, FCBarcelona, Snapchat |
| @PhilJones4 | 2,146,144 | Footballer | Football, Manchester United, Adidas |
| @opensea | 1,994,420 | NFT Marketplace | NFTs, Marketplace, Discover |
| @lmgriffjohnson | 1,725,597 | Influencer | TikTok, Entrepreneur, Music |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
77,297
Followers With Bio
22,703
Followers Without Bio
77.3%
% With Bio
22.7%
% 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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Export full follower list with profile details, bios, locations, and follower counts as CSV.
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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,236 analyzed1,319,916
Combined Engagement
0
Total Likes
1,319,916
Total Retweets
263,983
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @itsdaneesaur: Can everybody just Please look at this cat https://t.co/GEPe1XzurJ
RT @elonmusk: Should I step down as head of Twitter? I will abide by the results of this poll.
RT @tomhanks: https://t.co/pgybgIYJdG
RT @mrmedina: we dead https://t.co/lUys7DptdZ
RT @JordanUhl: Who does this protect? https://t.co/eogF5BJoit
Network & Following Analysis
Based on 2,032 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
46.9%
Verified Accounts
15.9%
High Authority (>50K)
100.0%
Dormant Accounts
4.7%
Low Quality
4,335
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
85.8%
Individuals
1,743 accounts
9.1%
Brands/Orgs
185 accounts
5.1%
Media/News
104 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,998,419 | Entrepreneur | Space, Technology, Innovation |
| @justinbieber Justin Bieber | 111,758,296 | Singer | Music, Justice, Album |
| @jimmyfallon Jimmy Fallon | 50,266,220 | Comedian | Comedy, TV, Music |
| @SnoopDogg Snoop Dogg | 20,739,093 | Rapper | music, cannabis, entertainment |
| @theweeknd Abel Tesfaye | 17,289,995 | Musician | music, art, fashion |
| @aplusk ashton kutcher | 16,625,952 | Entrepreneur | stories, companies, collaborations |
| @richardbranson Richard Branson | 12,476,859 | Entrepreneur | adventurer, philanthropy, astronaut |
| @kendricklamar Kendrick Lamar | 12,179,065 | Musician | Music, Art, Culture |
| @joerogan Joe Rogan | 11,684,546 | Comedian | Stand up comedy, MMA, psychedelics |
| @serenawilliams Serena Williams | 10,510,951 | Athlete | Living, Loving, Working |
Key Insights & Takeaways
Rose frequently discusses market conditions and their impact on web3 projects. He shares personal experiences, such as being hacked, which highlight the risks in the space. He critiques platforms like Digg, showing his interest in the evolution and integrity of web3 platforms.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 1,647,582
- + 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 @kevinrose reveals an well-established Twitter presence with 1,647,582 followers. The account demonstrates a conversation-first approach, averaging 977.1 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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