हिन्दी पंक्तियाँ
पढ़ते रहिए, लिखते रहिए और खुद को अभिव्यक्त करते रहिए। 🤗❤ सम्पर्क: [email protected]
408,844
Followers
2,512
Following
6,131
Tweets
1,381.4
Avg Engagement
400
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Hindi_panktiyan'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:2018-09-12
- Verification:No
- Location:India
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:1,225.8
- Avg Retweets per Tweet:155.7
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,243 tweetsHindi_panktiyan's tweets receive a high number of likes and retweets, showing strong audience interaction. Their content is both emotionally engaging and thought-provoking.
1,225.8
Avg Likes/Tweet
155.7
Avg Retweets/Tweet
3,975,109
Total Likes
504,829
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
903
Median Likes
107
Median Retweets
2,184
75th Percentile
15,677
Top Tweet
3.38
Engagement per 1K Followers
Normalized influence metric
Long Tail
Engagement Pattern
Mix of hits and regular posts
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
67.6%
Original
26.4%
Replies
5.9%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
32.3%
With Links
7.7%
With #Tags
32.4%
With @Mentions
54.9%
With Emojis
107
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.39
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
70.9%
Weekday Posts
29.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 191 retweets (6% 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 3,243 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 primarily consists of Hindi speakers interested in poetry, personal growth, and emotional expression. They are likely students, educators, and individuals seeking inspiration.
Average
Audience Quality
27.2%
Suspicion Index
33.6%
Low-Quality %
9
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
44.6%
Empty Bio
35.4%
<10 Tweets
4.0%
Mass Following (>2K)
0.0%
New (<90 days)
62.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.3%
No URL
22.6%
<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.
14,553,464
Total Potential Reach
9
Median Follower Reach
39
75th Percentile Reach
2.5%
>1K followers
0.3%
>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).
36.9%
Creators
18,427 accounts
27.8%
Consumers
13,877 accounts
35.4%
Dormant
17,696 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):
338
Verified Followers
0.33% of total
7,067
Protected Accounts
7.0% 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 |
|---|---|---|---|
| @JohnCena | 14,103,745 | Wrestler | Wrestling, Motivation, Self-promotion |
| @News18UP | 1,772,922 | News Outlet | - |
| @GabbbarSingh | 1,456,733 | Entrepreneur | Entrepreneurship, Marketing, Business |
| @RaoKavitha | 1,286,241 | Politician | Politics, Social Work, Family |
| @rautsanjay61 | 1,256,113 | Journalist | Politics, Journalism, Shiv Sena |
| @TheUpenYadav | 868,751 | Social Worker | Rajasthan, Unemployed, Social Worker |
| @manakgupta | 800,722 | Journalist | News, Journalism, Egalitarianism |
| @spruhavarad | 431,230 | Actress | Indian films, television, theater |
| @sunilyadv_unnao | 383,100 | Politician | Politics, Socialism, Uttar Pradesh |
| @pradip103 | 332,692 | Psephologist | Politics, Psephology, Activism |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
56,562
Followers With Bio
44,430
Followers Without Bio
56.01%
% With Bio
43.99%
% 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 3,243 analyzed61,881
Combined Engagement
52,746
Total Likes
9,135
Total Retweets
12,376
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
ताक़त झुके तो इस तरह, रास्ता रुके तो इस तरह ❤️❤️ https://t.co/vzmMoFaKmv
आसान नहीं होता प्रतिभाशाली स्त्री से प्रेम करना... https://t.co/cxsgj5ZxUk
छात्रों के मन की पंक्तियां... 👌❤ https://t.co/TAp3ZS3UuQ
सफ़र में धूप तो होगी... [ निदा फ़ाज़ली ] https://t.co/S6SJlIN3nZ
ये सुनिए 👌❤❤ https://t.co/woIXCJoQrH
Key Insights & Takeaways
Their top tweets often include emotional and poetic messages that resonate with personal experiences They focus on themes of struggle, love, and self-expression, which are universally relatable Their use of visuals and links suggests an effort to enhance the emotional impact of their content
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 408,844
- + 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 @Hindi_panktiyan reveals an exceptionally influential Twitter presence with 408,844 followers. The account demonstrates a content-creator strategy, averaging 1,381.4 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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