Trymacs
Youtuber/Streamer ohne Skill
385,950
Followers
83
Following
1,475
Tweets
616.4
Avg Engagement
125
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Trymacs'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:2016-05-06
- Verification:No
- Location:Hamburg, Deutschland
Data Summary
- Tweets Analyzed:1,456
- Avg Likes per Tweet:507.5
- Avg Retweets per Tweet:108.9
- Followers Analyzed:50,000
Engagement Analysis
Based on 1,456 tweetsTrymacs' tweets receive high engagement, with an average of 15,846 likes and 4,762 retweets per tweet. This indicates a highly interactive and loyal fan base.
507.5
Avg Likes/Tweet
108.9
Avg Retweets/Tweet
738,952
Total Likes
158,522
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
10
Median Likes
0
Median Retweets
213
75th Percentile
42,265
Top Tweet
1.6
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Broadcaster
Primarily shares original content
77.3%
Original
9.0%
Replies
7.7%
Retweets
6.0%
Quotes
0.0%
Threads
0.0%
With Media
86.1%
With Links
9.9%
With #Tags
75.3%
With @Mentions
17.0%
With Emojis
115
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.12
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
73.4%
Weekday Posts
26.6%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 1,456 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 112 retweets (8% 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 1,456 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 appears to be primarily interested in gaming, entertainment, and community engagement. They are likely active on social media and enjoy participating in giveaways and celebrations.
Below Average
Audience Quality
44.6%
Suspicion Index
69.4%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
75.8%
Empty Bio
77.4%
<10 Tweets
0.4%
Mass Following (>2K)
0.0%
New (<90 days)
83.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.5%
No URL
63.0%
<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.
16,627,255
Total Potential Reach
1
Median Follower Reach
3
75th Percentile Reach
0.3%
>1K followers
0.1%
>10K followers
0.0%
>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).
7.4%
Creators
3,719 accounts
15.1%
Consumers
7,561 accounts
77.4%
Dormant
38,720 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):
137
Verified Followers
0.14% of total
5,482
Protected Accounts
5.48% 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 |
|---|---|---|---|
| @JohnCena | 14,103,616 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Twitch | 9,928,049 | Social Media Manager | Gaming, Community, Support |
| @FaZeBlaze | 1,762,411 | Gamer | gaming, esports, content creation |
| @ShiinaBR | 1,132,327 | Gamer | Fortnite, Leaks, Epic Games |
| @BergmannToGo | 715,306 | YouTuber | Videospiel, Sympathisant, Podcast |
| @SkySportDE | 512,134 | Sports News | Sports, News, Updates |
| @G2LeTsHe | 493,376 | - | - |
| @Br4mm3n | 344,487 | YouTuber | Philanthropy, YouTube, Wealth |
| @MiiMiiTV | 294,953 | Influencer | MERCH, INSTA, PATREON |
| @TikoFn | 283,431 | YouTuber | YouTube, videos, fishing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
31,415
Followers With Bio
68,585
Followers Without Bio
31.42%
% With Bio
68.58%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 1,456 analyzed146,775
Combined Engagement
80,342
Total Likes
66,433
Total Retweets
29,355
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
60%
With @Mentions
80%
With Links
Topical Analysis:
Ich wüschen allen Geimpften ein frohes neues Jahr! 🎊🎈🎆
Moin, zusammen mit @PredatorGaming verlose ich einen der neu vorgestellten #Triton500 Laptops. 🔥 Zum Mitmachen, einfach diesen Tweet liken, retweeten und mir folgen. Auslosung am 10.07. 16:00 Uhr. Gewinner werden per PN informiert. #NextAtAcer #PredatorGaming #Werbung https://
RT @FortniteGame: Brace for impact! Witness Season 4 tomorrow. https://t.co/LVG3mO6vmK
Ich kann es immer noch nicht fassen 🤯 Platz 1 weltweit mit den meisten Subs zurzeit. Danke an jeden einzelnen Unterstützer!! 😳🙏💜 https://t.co/OjO3ItA3a7
RT @FortniteGame: A bitter ice spreads... 3 days to Season 7. https://t.co/yj70svBXti
Key Insights & Takeaways
His content often includes giveaways and promotions, which drive engagement. He frequently interacts with other creators and his audience. He uses celebratory and festive language to connect with his followers.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 385,950
- + Strong original content creation
- + 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 @Trymacs reveals an well-established Twitter presence with 385,950 followers. The account demonstrates a content-creator strategy, averaging 616.4 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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