64,191
Followers
523
Following
33,612
Tweets
60.5
Avg Engagement
44
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @techychun'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: Mid-Tier (10K+)
- Account Age:2014-12-20
- Verification:Yes
- Location:k ♡
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:49.5
- Avg Retweets per Tweet:11.0
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsHigh engagement is driven by incentives like giveaways and calls to action, with a strong emphasis on retweets and likes.
49.5
Avg Likes/Tweet
11.0
Avg Retweets/Tweet
24,737
Total Likes
5,523
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
50
75th Percentile
8,908
Top Tweet
0.94
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
38.4%
Original
60.0%
Replies
0.6%
Retweets
1.0%
Quotes
0.0%
Threads
0.0%
With Media
11.6%
With Links
0.4%
With #Tags
61.6%
With @Mentions
9.8%
With Emojis
41
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.56
Reply/Original Ratio
1.67
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
72.2%
Weekday Posts
27.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 3 retweets (1% 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 500 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 likely includes gaming enthusiasts, fans of viral content, and those interested in interactive social media experiences.
Average
Audience Quality
29.7%
Suspicion Index
15.5%
Low-Quality %
46
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.3%
Empty Bio
14.9%
<10 Tweets
37.2%
Mass Following (>2K)
0.0%
New (<90 days)
73.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.2%
No URL
7.7%
<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.
19,275,805
Total Potential Reach
46
Median Follower Reach
150
75th Percentile Reach
4.2%
>1K followers
0.4%
>10K followers
0.1%
>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).
72.1%
Creators
36,029 accounts
13.0%
Consumers
6,503 accounts
14.9%
Dormant
7,468 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):
258
Verified Followers
0.39% of total
2,315
Protected Accounts
3.48% of total
3 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 |
|---|---|---|---|
| @6BillionPeople | 2,038,024 | - | - |
| @iFireMonkey | 1,272,784 | - | - |
| @Formula | 859,447 | YouTuber | YouTube, Subscribers, Entrepreneur |
| @ZachBoychuk | 830,527 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @VastGG | 825,632 | Marketing | Creators, Gaming, Giveaways |
| @JeromeASF | 783,161 | Internet Personality | Gaming, Content Creation, Entrepreneurship |
| @Kiwiz | 750,448 | Gamer | Gaming |
| @WTFTheRealJoJo | 531,169 | Gynecologist | Beyoncé, Pokemon, Crypto |
| @yungchip | 508,484 | YouTuber | Fortnite, Podcasting, Mysteries |
| @Nicks | 484,637 | Entrepreneur | memes, 1%, Twitter |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
49,570
Followers With Bio
17,019
Followers Without Bio
74.44%
% With Bio
25.56%
% 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 500 analyzed15,889
Combined Engagement
11,046
Total Likes
4,843
Total Retweets
3,178
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
40%
With Links
Topical Analysis:
LIKE & RT FOR A SICK ANIMATION 😍 https://t.co/ZRCSOaW8E2
If KSI wins BOTH fights i’ll give everyone who LIKES THIS TWEET $100!
OMG THIS IS REAL EVERYBODY PLEASE RETWEET @FaZeClan (also, following everybody back) https://t.co/Qu2ohJM5RP
Giving Away $5000 To 5 People For Christmas 🎅 LIKE AND RT TO ENTER! 🎄♥️
If you’re awake Like This Tweet!
Key Insights & Takeaways
They leverage incentives to boost engagement and visibility Their content is highly interactive and audience-driven They often collaborate with popular gaming communities and influencers
Strengths
- + Established follower base of 64,191
- + 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 @techychun reveals an growing Twitter presence with 64,191 followers. The account demonstrates a conversation-first approach, averaging 60.5 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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