CodeMiko
CEO @mikoverseinc | https://linktr.ee/codemiko | ✉️ [email protected]
305,670
Followers
784
Following
3,719
Tweets
1,650.4
Avg Engagement
539
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @codemiko'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:2020-03-17
- Verification:No
- Location:MikoVerse
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:1,594.5
- Avg Retweets per Tweet:55.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsCodemiko's tweets receive high average likes and retweets, indicating strong audience interaction. Their content is well-received and often shared, especially when showcasing live tech demonstrations.
1,594.5
Avg Likes/Tweet
55.9
Avg Retweets/Tweet
5,175,851
Total Likes
181,419
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
239
Median Likes
2
Median Retweets
1,331
75th Percentile
113,014
Top Tweet
5.4
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
41.7%
Original
53.6%
Replies
2.6%
Retweets
2.0%
Quotes
0.0%
Threads
0.7%
With Media
22.1%
With Links
2.5%
With #Tags
65.1%
With @Mentions
14.8%
With Emojis
74
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.29
Reply/Original Ratio
0.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.0%
Weekday Posts
29.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,246 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 86 retweets (3% 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 3,246 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 followersThe audience is tech-savvy and interested in motion capture and entertainment tech. They are likely professionals, developers, and enthusiasts looking for behind-the-scenes content.
Average
Audience Quality
25.9%
Suspicion Index
28.5%
Low-Quality %
26
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
39.2%
Empty Bio
25.9%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
63.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
80.6%
No URL
17.8%
<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.
61,231,046
Total Potential Reach
26
Median Follower Reach
95
75th Percentile Reach
4.1%
>1K followers
0.8%
>10K followers
0.2%
>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).
53.3%
Creators
26,656 accounts
20.8%
Consumers
10,405 accounts
25.9%
Dormant
12,939 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):
1,157
Verified Followers
1.16% of total
13,258
Protected Accounts
13.26% 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 |
|---|---|---|---|
| @Twitch | 9,928,721 | Social Media Manager | Gaming, Community, Support |
| @McDonalds | 4,766,118 | Fast Food | Fast Food, Grimace, Friendship |
| @Corpse_Husband | 3,789,106 | Musician | - |
| @Anaimiya | 3,482,558 | Content Creator | Treasure, Onlyfans, WeChat |
| @Razer | 3,437,573 | Gaming Company | Gaming, Support, Action |
| @scump | 2,270,849 | Professional Gamer | Gaming, eSports, Partner |
| @CouRageJD | 1,942,620 | Gamer | Gaming, Soup, Merch |
| @Zilverk | 1,734,896 | Streamer | VTUBER, NFTS, Twitch |
| @JustaMinx | 1,594,100 | Content Creator | Gaming, Irish culture, G Fuel |
| @AlisaPikaPika | 1,495,117 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,192
Followers With Bio
37,808
Followers Without Bio
62.19%
% With Bio
37.81%
% 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 3,246 analyzed464,953
Combined Engagement
433,244
Total Likes
31,709
Total Retweets
92,991
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
80%
With Links
Topical Analysis:
Rather be cringe than fake
from Tech: Demonstrating high fidelity mocap with CodeMiko https://t.co/QLlpgnvtd1
WANNA SEE SOME TECH?!! This is Miko being mocapped live by technician with facial tracking! https://t.co/a3A5gLWANv
I finally got to meet @MoistCr1TiKaL https://t.co/8KFLaetXF6
This little peepo is the cutest thing! Also I saw that dress and I said holy booba so I got it. https://t.co/sN3DqoGxsF
Key Insights & Takeaways
Codemiko emphasizes authenticity over fake content Their tweets often include links to live demonstrations and technical showcases They engage with their audience by sharing behind-the-scenes tech processes
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 305,670
- + 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 @codemiko reveals an exceptionally influential Twitter presence with 305,670 followers. The account demonstrates a conversation-first approach, averaging 1,650.4 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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