कविशाला - हिन्दी | Kavishala

कविशाला - हिन्दी | Kavishala

@Kavishala_Hindi

यहाँ पढ़िए नए, युवा और छिपे हुए कवियों की हिंदी कवितायें! #हिन्दी_ट्विटर | @kavishala प्रेमचंद: https://kavishala.com/sootradhar/pre…

Your Mobile Screen https://kavishala.com/languages/hindi Joined 2019-08-11 Date of Analysis: Dec 16, 2025

107,228

Followers

259

Following

30,637

Tweets

23.7

Avg Engagement

195

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Kavishala_Hindi'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:2019-08-11
  • Verification:No
  • Location:Your Mobile Screen

Data Summary

  • Tweets Analyzed:3,234
  • Avg Likes per Tweet:11.0
  • Avg Retweets per Tweet:12.7
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,234 tweets

The account maintains consistent engagement with its followers, indicating a loyal and active community. The average likes and retweets suggest that the content is well-received and shared widely.

11.0

Avg Likes/Tweet

12.7

Avg Retweets/Tweet

35,616

Total Likes

40,941

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

2

Median Retweets

6

75th Percentile

4,852

Top Tweet

0.22

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Curator

Amplifies others content frequently

5.1%

Original

7.1%

Replies

87.6%

Retweets

0.2%

Quotes

0.0%

Threads

0.0%

With Media

87.3%

With Links

26.9%

With #Tags

96.2%

With @Mentions

13.0%

With Emojis

135

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.4

Reply/Original Ratio

0.0

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

71.4%

Weekday Posts

28.6%

Weekend Posts

Top Hashtags

#likhokavishalape (275) #thoughtoftheday (108) #kavishala (93) #कव (69) #thoughtfortheday (36) #poetry (32) #shetheleader (30) #श (28) #ह (24) #hindipoetry (23)

Most Mentioned

@kavishala (1432) @kavishala_hindi (710) @saishraddha7 (227) @shikhasinghaj (151) @kaminimohans (112) @iankurmishra (110) @nivedan001 (104) @kavitaaghar (76) @botshindi (72) @gopalbhojak (67)

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Content Strategy Analysis

Based on 3,234 tweets

Content Type Distribution

Content Breakdown

Original Tweets 165 (5%)
Replies 231 (7%)
Retweets 2,833 (88%)
Quote Tweets 5 (0%)

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 2,833 retweets (88% 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 3,234 tweets

Engagement 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 10,000 followers

The audience is likely young and culturally interested in Hindi literature, with a preference for meaningful and emotionally resonant poetry. They are engaged and appreciate both new and established voices.

Average

Audience Quality

27.2%

Suspicion Index

31.1%

Low-Quality %

13

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

41.9%

Empty Bio

32.3%

<10 Tweets

6.3%

Mass Following (>2K)

0.0%

New (<90 days)

65.8%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.9%

No URL

20.3%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

3,051,671

Total Potential Reach

13

Median Follower Reach

57

75th Percentile Reach

2.7%

>1K followers

0.2%

>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).

40.1%

Creators

4,015 accounts

27.5%

Consumers

2,754 accounts

32.3%

Dormant

3,231 accounts

27

Verified Followers

0.27% of total

5.4%

Professional Bios

founder, dev, analyst, etc.

0.06

Median Follow Ratio

follower/following

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):

India (347) New Delhi, India (244) Uttar Pradesh, India (163) Lucknow, India (108) Jaipur, India (92) Rajasthan, India (85) Patna, India (74) Bihar, India (68) Mumbai, India (67) Varanasi, India (54)

27

Verified Followers

0.27% of total

753

Protected Accounts

7.53% 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
@RVCJ_FB 665,774 Media Entertainment, Humor, Viral
@DevprakasMeena 245,155 Lawyer Constitutionalist, Tribal, Personal Views
@tarksahitya 244,358 Poet Poetry, Gazal, Shayari
@TheRichaSharma 94,146 Singer Singer, Performer, Live Shows
@SunilydvSS 92,438 - -
@RealisticPoetry 83,213 Poet poetry, international, website
@iRaviTiwari 74,010 Politician Nationalism, Social Activism, BJP
@margret_017 54,999 Poet Love, Mystery, Poetry
@AK__Chaudhary 47,040 - -
@mithelesh 39,935 Writer writing, books, Amazon

Top Keywords in Follower Bios

student (376) indian (201) life (192) love (151) social (127) engineer (123) writer (110) university (104) lover (96) proud (96)

Top Hashtags in Follower Bios

#स (13) #श (13) #भ (11) #प (11) #student (10) #indian (10) #nationfirst (9) #म (9) #र (9) #ज (8)

5,807

Followers With Bio

4,193

Followers Without Bio

58.07%

% With Bio

41.93%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,234 analyzed

16,853

Combined Engagement

10,595

Total Likes

6,258

Total Retweets

3,371

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

20%

With @Mentions

40%

With Links

Topical Analysis:

Literature Poetry Youth Social Issues Inspiration Cultural Identity Emotional Expression
कविशाला - हिन्दी | K…
@Kavishala_Hindi

RT @kavishala: 'स्त्री पुरुष से उतनी ही श्रेष्ठ है, जितना प्रकाश अंधेरे से..' - प्रेमचंद [@imharleenDeol] https://t.co/gYEZ8hMMb6

2022-07-05
Retweets: 4,852 Likes: 0 Engagement: 4,852
कविशाला - हिन्दी | K…
@Kavishala_Hindi

चींटियाँ लग गई हैं नमक के डिब्बे पर, मैंने तुमसे कहा था कुछ भी छुआ मत करो - पारितोष त्रिपाठी

2022-10-29
Retweets: 353 Likes: 3,359 Engagement: 3,712
कविशाला - हिन्दी | K…
@Kavishala_Hindi

मनुष्य को चाहिए कि वह परिस्थितियों से लड़े, एक स्वप्न टूटे, तो दूसरा गढ़े। - अटल बिहारी वाजपेयी

2022-07-18
Retweets: 428 Likes: 2,888 Engagement: 3,316
कविशाला - हिन्दी | K…
@Kavishala_Hindi

ये कोई हैरानी की बात नहीं ✨ https://t.co/F0qUjAoW43

2023-02-17
Retweets: 427 Likes: 2,380 Engagement: 2,807
कविशाला - हिन्दी | K…
@Kavishala_Hindi

ये सोचना ग़लत है कि तुम पर नज़र नहीं मसरूफ़ हम बहुत हैं मगर बेख़बर नहीं .... किसने लिखा है?

2022-11-22
Retweets: 198 Likes: 1,968 Engagement: 2,166

Key Insights & Takeaways

The account focuses on promoting new and emerging Hindi poets, which helps in building a diverse literary community. It shares a mix of contemporary and classic poets, offering a blend of modern and traditional perspectives. The use of hashtags and links to external content suggests an effort to expand reach and provide additional context.

Strengths

  • + Established follower base of 107,228
  • + 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 @Kavishala_Hindi reveals an growing Twitter presence with 107,228 followers. The account demonstrates a conversation-first approach, averaging 23.7 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025