R1 Sunless
Rocket League youtuber | 2M subs | CEO of content @RuleOneGG | business inquiries: [email protected]
166,488
Followers
779
Following
8,354
Tweets
572.3
Avg Engagement
181
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SunlessKhan'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:2017-03-22
- Verification:No
- Location:Austin, TX
Data Summary
- Tweets Analyzed:3,248
- Avg Likes per Tweet:560.8
- Avg Retweets per Tweet:11.5
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,248 tweetsHis tweets receive an average of 6,233 likes and 280 retweets, indicating strong audience interaction. His gratitude and personal messages resonate well with his followers.
560.8
Avg Likes/Tweet
11.5
Avg Retweets/Tweet
1,821,380
Total Likes
37,390
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
230
Median Likes
1
Median Retweets
706
75th Percentile
11,923
Top Tweet
3.44
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
21.9%
Original
72.6%
Replies
2.0%
Retweets
3.5%
Quotes
0.0%
Threads
0.4%
With Media
23.1%
With Links
1.6%
With #Tags
70.8%
With @Mentions
19.1%
With Emojis
79
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
3.31
Reply/Original Ratio
1.77
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.7%
Weekday Posts
29.3%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,248 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 64 retweets (2% 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 3,248 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 primarily consists of gaming enthusiasts, particularly fans of Rocket League and YouTube creators. They are likely interested in both entertainment and business opportunities related to content creation.
Average
Audience Quality
30.0%
Suspicion Index
36.1%
Low-Quality %
4
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
43.2%
Empty Bio
43.6%
<10 Tweets
2.0%
Mass Following (>2K)
0.0%
New (<90 days)
70.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
88.6%
No URL
28.9%
<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.
18,511,397
Total Potential Reach
4
Median Follower Reach
24
75th Percentile Reach
1.4%
>1K followers
0.2%
>10K followers
0.1%
>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).
30.5%
Creators
15,267 accounts
25.9%
Consumers
12,947 accounts
43.6%
Dormant
21,786 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):
323
Verified Followers
0.32% of total
6,337
Protected Accounts
6.27% of total
4 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 |
|---|---|---|---|
| @ConorMaynard | 1,617,072 | Singer | Music, Dance, Link |
| @LachlanYT | 1,528,871 | Gamer | Fortnite, Apparel, Gaming |
| @IntelGaming | 1,191,891 | Gaming | Gaming, Products, Events |
| @LeBronJames | 1,009,615 | - | - |
| @vinniehacker | 907,764 | Influencer | Gaming, Content Creation, Fashion |
| @JeromeASF | 780,812 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @Reflog_18 | 539,343 | - | - |
| @SlimJim | 501,260 | Snack Influencer | meat, long boi, champions |
| @NateHillTV | 478,871 | Gamer | Fortnite, FaZe Clan, Gaming |
| @AtomicMari | 418,704 | Content Creator | STEM, space, gaming |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
59,568
Followers With Bio
41,427
Followers Without Bio
58.98%
% With Bio
41.02%
% 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 3,248 analyzed43,914
Combined Engagement
32,178
Total Likes
11,736
Total Retweets
8,783
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Thank you. Love you all! https://t.co/J5fpTAL5Yz
RT @Browns: omg
Instead of signing to an org, I decided to make one. @incivik and I are proud to introduce you to RULE ONE https://t.co/Yj44LtB0NM
Still doesn't feel real 😄 Thank you @YouTubeCreators https://t.co/5tKKsXRQS2
So nice to meet my fans https://t.co/Yzi61ryznb
Key Insights & Takeaways
He maintains a personal and appreciative tone with his audience, which fosters loyalty. His engagement is high, suggesting a strong and active community around his brand. He leverages his platform for both content and business ventures, showing a strategic approach to his career.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 166,488
- + 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 @SunlessKhan reveals an well-established Twitter presence with 166,488 followers. The account demonstrates a conversation-first approach, averaging 572.3 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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