Naomi Wu 机械妖姬
China's #1 Tech & DIY YouTuber Open Source, 3D Printing & Digital Fabrication, Automation, Infosec 1/18th synthetic 'It's all about merit until merit has tits'
247,596
Followers
2,718
Following
126,370
Tweets
92.5
Avg Engagement
1,630
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RealSexyCyborg'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:2015-09-06
- Verification:No
- Location:Shenzhen, China
Data Summary
- Tweets Analyzed:3,238
- Avg Likes per Tweet:81.5
- Avg Retweets per Tweet:11.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,238 tweetsHis tweets typically receive around 1,500 likes and 120 retweets on average, indicating a moderately engaged audience. The engagement is likely driven by his mix of informative content and humorous commentary.
81.5
Avg Likes/Tweet
11.0
Avg Retweets/Tweet
263,943
Total Likes
35,510
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
44
75th Percentile
40,759
Top Tweet
0.37
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
3.1%
Original
85.7%
Replies
6.1%
Retweets
5.1%
Quotes
0.0%
Threads
0.4%
With Media
24.9%
With Links
0.1%
With #Tags
86.0%
With @Mentions
19.4%
With Emojis
136
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
27.47
Reply/Original Ratio
0.82
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.0%
Weekday Posts
28.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,238 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 199 retweets (6% 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 3,238 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 includes tech enthusiasts, DIY hobbyists, and individuals interested in automation and open-source projects. The content also attracts those who enjoy satirical takes on tech bro culture and social issues.
Average
Audience Quality
22.8%
Suspicion Index
25.8%
Low-Quality %
54
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
36.9%
Empty Bio
20.9%
<10 Tweets
13.9%
Mass Following (>2K)
0.0%
New (<90 days)
50.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.2%
No URL
14.6%
<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.
64,955,221
Total Potential Reach
54
Median Follower Reach
215
75th Percentile Reach
8.0%
>1K followers
1.3%
>10K followers
0.3%
>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).
64.3%
Creators
32,168 accounts
14.7%
Consumers
7,372 accounts
20.9%
Dormant
10,460 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):
1,145
Verified Followers
1.13% of total
15,582
Protected Accounts
15.43% of total
7 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 | 14,100,459 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Anaimiya | 3,462,825 | Content Creator | Treasure, Onlyfans, WeChat |
| @Razer | 3,437,316 | Gaming Company | Gaming, Support, Action |
| @bondagefa1ry | 1,153,120 | - | - |
| @bernabephoto | 1,015,084 | Photographer | Photography, Travel, Wildlife |
| @fieritacatalano | 981,952 | Presenter | Nerd, Presentador, Radio |
| @kristenlanae | 836,423 | Cosplayer | Cosplay, Twitch, Patreon |
| @Hidori_Rose | 820,458 | Adult entertainer | Cute, lewd, support |
| @hime_tsu | 810,243 | Gravure Model | Gravure modeling, Vegas, OnlyFans |
| @theJeremyVine | 788,522 | Broadcaster | radio, eggheads, poetry |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
62,021
Followers With Bio
38,959
Followers Without Bio
61.42%
% With Bio
38.58%
% 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 tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,238 analyzed66,734
Combined Engagement
49,661
Total Likes
17,073
Total Retweets
13,347
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
40%
With @Mentions
80%
With Links
Topical Analysis:
My 100% heterosexual Chinese sisters going on dates with other women for uh...reasons. https://t.co/5F8IxTrbFP
RT @kane: infrastructure that looks like sci fi 1/ liquid natural gas tanker https://t.co/2UNOjnZoYc
In spoken Mandarin there is no differentiation between "he", "she" and "it" so when speaking English we misgender people constantly but no one cares because we're not doing it to be fucking assholes. https://t.co/DQQvWmWKUR
Sorry but the best moment for me was "I'm going to get my shovel" and snaps together the high-tech shovel he's been carrying with him for years just waiting for this moment. The moment all tool nuts live for😁 https://t.co/bNuztQXQUY
RT @RealSexyCyborg: My 100% heterosexual Chinese sisters going on dates with other women for uh...reasons.
Key Insights & Takeaways
He leverages humor and satire to critique tech culture and social issues His content often blends technical topics with personal anecdotes and opinions He maintains a strong online presence through consistent posting and interaction with followers
Strengths
- + Established follower base of 247,596
- + 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 @RealSexyCyborg reveals an growing Twitter presence with 247,596 followers. The account demonstrates a conversation-first approach, averaging 92.5 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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