Jordan Gilbert
-creator, consultant, talent mgmt, and inactive CS pro - adv. @playsharestar\@nfluencetech\@playchallenger\@voidggapi ex. @Cloud9 @EvilGeniuses @compLexity
327,379
Followers
1,764
Following
18,129
Tweets
201.3
Avg Engagement
678
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @n0thing'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:2009-07-03
- Verification:No
- Location:[email protected]
Data Summary
- Tweets Analyzed:3,239
- Avg Likes per Tweet:168.1
- Avg Retweets per Tweet:33.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,239 tweetsn0thing's tweets receive high engagement, with an average of 17k likes and 800 retweets per tweet. Their content is both personal and informative, driving interaction.
168.1
Avg Likes/Tweet
33.2
Avg Retweets/Tweet
544,564
Total Likes
107,444
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
31
Median Likes
0
Median Retweets
96
75th Percentile
68,800
Top Tweet
0.61
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
40.7%
Original
51.6%
Replies
3.2%
Retweets
4.5%
Quotes
0.0%
Threads
0.5%
With Media
33.7%
With Links
6.0%
With #Tags
67.2%
With @Mentions
10.6%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.27
Reply/Original Ratio
1.43
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
75.9%
Weekday Posts
24.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,239 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 103 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 3,239 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 primarily consists of gamers, especially those interested in CS:GO and esports. They also attract individuals interested in talent management and consulting.
Average
Audience Quality
26.3%
Suspicion Index
27.7%
Low-Quality %
12
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.7%
Empty Bio
28.3%
<10 Tweets
4.7%
Mass Following (>2K)
0.0%
New (<90 days)
71.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
82.6%
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.
33,913,877
Total Potential Reach
12
Median Follower Reach
50
75th Percentile Reach
2.4%
>1K followers
0.5%
>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).
46.2%
Creators
23,078 accounts
25.5%
Consumers
12,752 accounts
28.3%
Dormant
14,170 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):
711
Verified Followers
0.71% of total
8,460
Protected Accounts
8.46% 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 |
|---|---|---|---|
| @CouRageJD | 1,942,511 | Gamer | Gaming, Soup, Merch |
| @dimitrivegas | 1,695,143 | DJ | Music, Acting, Gaming |
| @cloakzy | 1,621,631 | Streamer | streaming, youtube, gaming |
| @Pamaj | 1,202,076 | Gamer | Gaming, Content Creation, FaZe Clan |
| @IntelGaming | 1,191,454 | Gaming | Gaming, Products, Events |
| @DillonFrancis | 1,015,076 | Musician | Music, Comedy, EDM |
| @Symfuhny | 951,357 | Gamer | Gaming, Twitch, Esports |
| @FormaL | 950,816 | Professional Gamer | Call of Duty, Halo, XGames |
| @ZachBoychuk | 829,506 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @sjokz | 808,569 | Esports Host | esports, Belgium, dolphin impression |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
61,131
Followers With Bio
38,869
Followers Without Bio
61.13%
% With Bio
38.87%
% 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 3,239 analyzed199,647
Combined Engagement
125,784
Total Likes
73,863
Total Retweets
39,929
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
100%
With Links
Topical Analysis:
RT @SupremeDreams_1: How Smart Characters Be Acting In Anime 😂💀😭 https://t.co/HSIZmxHP18
She said yes! https://t.co/B8SzWjbj9u
Use HE grenade + smoke trick in CS2 ✅ https://t.co/6ZIMx20YQk
I love you so much already, Caspian. https://t.co/VYW0zMcouT
It’s a boy! Can’t wait to meet you, son 💙 https://t.co/JKmX7V4Gbj
Key Insights & Takeaways
They maintain a strong presence in the gaming community, often sharing personal and professional updates. Their content includes both strategic gaming tips and emotional expressions, which resonate with their audience. They leverage their network of gaming influencers and brands to expand their reach and credibility.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 327,379
- + 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 @n0thing reveals an well-established Twitter presence with 327,379 followers. The account demonstrates a conversation-first approach, averaging 201.3 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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