vijaykarnataka
Official Twitter Account of VK, PRIDE OF YOUNG KARNATAKA, A Times Internet Product | @Timesinternet
252,968
Followers
624
Following
257,236
Tweets
7.6
Avg Engagement
160
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Vijaykarnataka'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:2012-02-16
- Verification:No
- Location:Bangalore
Data Summary
- Tweets Analyzed:3,250
- Avg Likes per Tweet:7.0
- Avg Retweets per Tweet:0.6
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,250 tweetsThe account has average engagement with likes and retweets, indicating a moderate level of interaction. The content often sparks discussions, particularly around local politics and social issues.
7.0
Avg Likes/Tweet
0.6
Avg Retweets/Tweet
22,772
Total Likes
2,005
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
2
Median Likes
0
Median Retweets
5
75th Percentile
669
Top Tweet
0.03
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
100.0%
Original
0.0%
Replies
0.0%
Retweets
0.0%
Quotes
0.0%
Threads
0.6%
With Media
99.6%
With Links
94.7%
With #Tags
0.2%
With @Mentions
0.1%
With Emojis
127
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.0
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
79.3%
Weekday Posts
20.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,250 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.
Posting Patterns & Optimal Timing
Based on 3,250 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 primary audience is likely residents of Karnataka, especially younger people interested in local politics and culture. The account also attracts followers interested in regional news and commentary.
Below Average
Audience Quality
44.4%
Suspicion Index
64.1%
Low-Quality %
1
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
68.1%
Empty Bio
76.6%
<10 Tweets
1.3%
Mass Following (>2K)
0.0%
New (<90 days)
87.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
98.2%
No URL
60.1%
<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.
3,070,307
Total Potential Reach
1
Median Follower Reach
4
75th Percentile Reach
0.4%
>1K followers
0.0%
>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).
7.8%
Creators
3,908 accounts
15.6%
Consumers
7,815 accounts
76.6%
Dormant
38,277 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):
38
Verified Followers
0.04% of total
4,936
Protected Accounts
4.89% 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 |
|---|---|---|---|
| @SinghLions | 1,334,286 | Restaurateur | Food, Travel, Influencer |
| @drashwathcn | 301,878 | Politician | Higher Education, IT & BT, Skill Development |
| @mvmeet | 187,851 | Journalist | Nationalism, Politics, Journalism |
| @KannadaPrabha | 118,114 | News Publisher | News, Kannada, Special Reports |
| @MPRBJP | 84,019 | Politician | Politics, Chief Minister, MLA |
| @BBMPAdmn | 81,892 | Administrator | Administration, Bengaluru, Urban planning |
| @BenjaminCGeorge | 58,706 | Writer | Technology, Innovation, Entrepreneurship |
| @Captain_Mani72 | 57,131 | - | - |
| @Janaagraha1 | 50,234 | - | - |
| @ContextoVE | 46,884 | Political Analyst | Venezuela, Politics, News |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,880
Followers With Bio
59,116
Followers Without Bio
41.47%
% With Bio
58.53%
% 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 3,250 analyzed2,874
Combined Engagement
2,509
Total Likes
365
Total Retweets
575
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
80%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
'ವಾರಕ್ಕೊಮ್ಮೆ ಮೈಸೂರಿಗೆ ಬಂದು ಕುರಿ ಚರ್ಬಿ ತಿಂದು ಹೋಗ್ತಿದ್ದ ನೀವು, ಬಂಡೀಪುರಕ್ಕೆ ಯಾಕೆ ಹೋಗ್ಲಿಲ್ಲ?' ಸಿದ್ದುಗೆ ಸಿಂಹ ಪ್ರಶ್ನೆ #siddarmaiah https://t.co/1yJGN2niMH
ನಟರ ಹೆಸರುಗಳನ್ನು ರಸ್ತೆಗಳಿಗೆ ಇಡುತ್ತಿದ್ದೀರಿ. ಆದರೆ, ನನ್ನ ತಂದೆಯ ಹೆಸರು ನಿಮಗೆ ನೆನಪಾಗ್ತಾ ಇಲ್ಲವಾ ಅಂತ ಕೇಳಿದ್ದಾರೆ ವಿಜೇತಾ ಅನಂತ ಕುಮಾರ್. https://t.co/VmQX0wJlPX
Go Back Amul: ಅಮೂಲ್ ವಿರುದ್ಧ ಆಕ್ರೋಶ- ಜಾನುವಾರುಗಳ ಸಮೇತ ರೈತ ಸಂಘದಿಂದ ಸಂಸದರ ಕಚೇರಿ ಮುತ್ತಿಗೆಗೆ ನಿರ್ಧಾರ #SaveNandini https://t.co/gIY3ntFlcG
ಅಮುಲ್ ಉತ್ಪನ್ನಗಳನ್ನು ಖರೀದಿಸುವುದಿಲ್ಲ ಎಂದು ಕನ್ನಡಿಗರೆಲ್ಲರೂ ಪ್ರತಿಜ್ಞೆ ಮಾಡಬೇಕು: ಸಿದ್ದರಾಮಯ್ಯ ಕರೆ #AmulMilk #SaveNandini #Siddaramaiah https://t.co/kYJTlUFftG
ನಂದಿನಿಗೆ ಸಡ್ಡು ಹೊಡೆಯುವ ಅಮುಲ್ ಷಡ್ಯಂತ್ರಕ್ಕೆ ರಾಜ್ಯಾದ್ಯಂತ ಭಾರೀ ಆಕ್ರೋಶ #Nandini https://t.co/ApUKBGvarw
Key Insights & Takeaways
The account frequently references local politicians and social issues, which may indicate a focus on regional politics. It uses hashtags to amplify messages, suggesting an intent to reach a broader audience. The content often includes calls to action, such as public pledges, indicating a community-driven approach.
Strengths
- + Established follower base of 252,968
- + 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 @Vijaykarnataka reveals an growing Twitter presence with 252,968 followers. The account demonstrates a content-creator strategy, averaging 7.6 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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