Aadar Malik
Comedy+music=existential crisis
154,665
Followers
497
Following
9,110
Tweets
76.9
Avg Engagement
75
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @TheAadarGuy'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:2011-10-27
- Verification:No
- Location:india
Data Summary
- Tweets Analyzed:3,149
- Avg Likes per Tweet:1.6
- Avg Retweets per Tweet:75.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,149 tweetsThe account has moderate engagement, with an average of 69 likes and 26 retweets per tweet, indicating a loyal but not highly interactive following.
1.6
Avg Likes/Tweet
75.2
Avg Retweets/Tweet
5,123
Total Likes
236,948
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
4
75th Percentile
78,210
Top Tweet
0.5
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
30.7%
Original
34.9%
Replies
24.8%
Retweets
9.6%
Quotes
0.0%
Threads
0.7%
With Media
46.2%
With Links
25.1%
With #Tags
67.2%
With @Mentions
1.5%
With Emojis
85
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.14
Reply/Original Ratio
0.39
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.3%
Weekday Posts
25.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,149 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 781 retweets (25% 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 3,149 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 followersThe audience appears to enjoy humor, parody, and music-related content, with a strong interest in pop culture and internet trends.
Below Average
Audience Quality
42.6%
Suspicion Index
61.2%
Low-Quality %
2
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
64.3%
Empty Bio
71.0%
<10 Tweets
3.2%
Mass Following (>2K)
0.0%
New (<90 days)
85.4%
Low Ratio (<0.1)
0.0%
New (<180 days)
95.4%
No URL
58.1%
<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.
11,356,051
Total Potential Reach
2
Median Follower Reach
9
75th Percentile Reach
0.7%
>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).
14.8%
Creators
7,406 accounts
14.2%
Consumers
7,088 accounts
71.0%
Dormant
35,506 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):
48
Verified Followers
0.05% of total
2,752
Protected Accounts
2.72% of total
6 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 |
|---|---|---|---|
| @AksharPathak | 1,859,189 | Writer | MIT, Stanford University, Forbes |
| @YouTubeIndia | 1,683,658 | Social Media Manager | Comment section, Support, Creator inspo |
| @dhruv_rathee | 1,587,466 | YouTuber | Activism, Travel, Vegetarian |
| @thebetterindia | 802,542 | Media | Uplifting stories, social impact, India |
| @TheDeshBhakt | 694,155 | Satirist | Satire, Politics, India |
| @HrithikRules | 453,393 | Fan site | Bollywood, Fan site, Hrithik |
| @DanishSait | 342,078 | Comedian | Comedy, Acting, Hosting |
| @satishacharya | 328,808 | Cartoonist | Cricket, Films, Patreon |
| @salonayyy | 279,231 | Comedian | Comedy, Passion, MBA |
| @ReheSamay | 223,598 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
27,984
Followers With Bio
73,015
Followers Without Bio
27.71%
% With Bio
72.29%
% 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 3,149 analyzed138,494
Combined Engagement
0
Total Likes
138,494
Total Retweets
27,699
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
80%
With Links
Topical Analysis:
RT @XannieW: Please stop telling people to respect others' opinions. That's for things like "I don't like coffee" not for "I don't like bla…
RT @SimoneGiertz: I made a robot to help me argue on the internet https://t.co/NxpXhk0NMM
RT @TheSpencerPerry: The internet in a nutshell. http://t.co/mUU791E5iO
RT @TheWeirdWorld: How to make shadow puppets with your hands..... http://t.co/eqtYQ9LNJM
RT @MeninistTweet: I respect everything Caitlyn Jenner did but... http://t.co/mhz1xn1he3
Key Insights & Takeaways
TheAadarGuy uses humor and self-awareness to connect with followers, often referencing personal experiences and online trends. The account frequently engages with parody and satire, highlighting a preference for comedic and irreverent content. The use of hashtags and links suggests an effort to increase visibility and encourage interaction with the audience.
Strengths
- + Established follower base of 154,665
- + 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 @TheAadarGuy reveals an growing Twitter presence with 154,665 followers. The account demonstrates a conversation-first approach, averaging 76.9 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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