kat ♪ Anger Archive
The Archivist ✧ Documenting the human condition of being alive ✧ AAPI Musician / Streamer ✧ Merch: https://derivakat.store/ 🌱
183,225
Followers
501
Following
3,384
Tweets
2,896.4
Avg Engagement
445
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Derivakat'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: Macro Influencer (100K+)
- Account Age:2016-06-03
- Verification:No
- Location:she/her ˑ 23
Data Summary
- Tweets Analyzed:3,104
- Avg Likes per Tweet:1,592.9
- Avg Retweets per Tweet:1,303.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,104 tweetsTheir tweets receive a high number of likes and retweets, showing strong audience interaction.
1,592.9
Avg Likes/Tweet
1,303.6
Avg Retweets/Tweet
4,944,265
Total Likes
4,046,302
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
166
Median Likes
3
Median Retweets
2,080
75th Percentile
140,921
Top Tweet
15.81
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
32.3%
Original
46.8%
Replies
17.0%
Retweets
3.9%
Quotes
0.0%
Threads
0.5%
With Media
37.9%
With Links
6.7%
With #Tags
60.3%
With @Mentions
11.3%
With Emojis
90
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.45
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,104 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 528 retweets (17% 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 3,104 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 followersTheir audience appears to be passionate about music and streaming, with a focus on AAPI culture.
Average
Audience Quality
27.7%
Suspicion Index
25.2%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
25.7%
Empty Bio
36.9%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
78.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.8%
No URL
24.8%
<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.
27,732,428
Total Potential Reach
4
Median Follower Reach
21
75th Percentile Reach
1.3%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
37.0%
Creators
18,481 accounts
26.2%
Consumers
13,089 accounts
36.9%
Dormant
18,430 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):
61
Verified Followers
0.06% of total
11,093
Protected Accounts
11.09% of total
2 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 |
|---|---|---|---|
| @KarlJacobs_ | 4,732,110 | Content Creator | Comedy, Content Creation, Business |
| @tommyinnit | 4,222,996 | Gamer | Gaming, Influencer, Content Creator |
| @Amouranth | 3,667,677 | Influencer | Gaming, Fitness, Cosplay |
| @BadBoyHalo | 3,156,364 | Content Creator | Memes, Merch, Discord |
| @JackManifoldTV | 1,965,485 | Content Creator | Gaming, Comedy, Streaming |
| @charitywater | 1,259,510 | Charity | clean water, safe drinking, global impact |
| @lovejoy | 1,237,902 | Musician | Music, British, Independent |
| @TinaKitten | 1,194,879 | Streamer | Gaming, Streaming, Friends |
| @aimseytv | 718,872 | Streamer | Gaming, LGBTQ+, Art |
| @JamesMarriottYT | 587,726 | YouTuber | music, videos, business |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
75,110
Followers With Bio
24,890
Followers Without Bio
75.11%
% With Bio
24.89%
% 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.
Buy Follower Data
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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 3,104 analyzed631,401
Combined Engagement
0
Total Likes
631,401
Total Retweets
126,280
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @kevinsukholee: Am I too late to submit? https://t.co/PsO07S4kk6
RT @dinoman_j: https://t.co/IoC6Ppr7mp
RT @Gracie_oguns: I love being Alone, I hate feeling Alone.......It's a difference
RT @bobbywihdatool: professors be like "i know these are troubling times" then be the trouble during the times
RT @MikeG7_: Seems to me it is no longer a party in the U.S.A
Key Insights & Takeaways
Their content often includes personal gratitude and emotional expressions, which resonate with followers. They frequently engage with other creators, suggesting a collaborative and supportive community. They share links to their music and merch, indicating a focus on monetization and brand building.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 183,225
- + 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 @Derivakat reveals an exceptionally influential Twitter presence with 183,225 followers. The account demonstrates a conversation-first approach, averaging 2,896.4 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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