Vinay Pathak

Vinay Pathak

@pathakvinay

Actor, father, aspiring film-maker!

Mumbai https://www.imdb.com/name/nm0665555/ Joined 2009-10-03 Date of Analysis: Dec 16, 2025

238,158

Followers

524

Following

3,857

Tweets

71.8

Avg Engagement

614

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @pathakvinay'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:2009-10-03
  • Verification:No
  • Location:Mumbai

Data Summary

  • Tweets Analyzed:3,159
  • Avg Likes per Tweet:11.8
  • Avg Retweets per Tweet:60.0
  • Followers Analyzed:50,000
  • Following Analyzed:490

Engagement Analysis

Based on 3,159 tweets

His tweets receive consistent engagement, indicating a loyal and active fan base. The use of hashtags and collaborations with other celebrities boosts interaction.

11.8

Avg Likes/Tweet

60.0

Avg Retweets/Tweet

37,432

Total Likes

189,418

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

3

Median Retweets

16

75th Percentile

51,432

Top Tweet

0.3

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

26.0%

Original

22.1%

Replies

43.7%

Retweets

8.3%

Quotes

0.0%

Threads

0.6%

With Media

44.8%

With Links

25.3%

With #Tags

72.2%

With @Mentions

23.1%

With Emojis

110

Avg Length

Audience Reaction Profile

Interactive

Balances broadcasting with conversation

0.85

Reply/Original Ratio

0.19

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

75.6%

Weekday Posts

24.4%

Weekend Posts

Top Hashtags

#islandcity (115) #gourharidastaan (30) #bajateyraho (26) #nothinglikelear (22) #chintukabirthday (20) #mumbai (16) #chintukabirthdaywatchparty (14) #ankhondekhi (13) #theatre (12) #10mllove (12)

Most Mentioned

@pathakvinay (488) @mrrajatkapoor (190) @greenpeaceindia (171) @ranvirshorey (136) @islandcity_film (113) @ananthmahadevan (68) @ashwinmushran (64) @tannishthac (62) @munishbhardwaj (51) @konkonas (46)

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Content Strategy Analysis

Based on 3,159 tweets

Content Type Distribution

Content Breakdown

Original Tweets 821 (26%)
Replies 698 (22%)
Retweets 1,379 (44%)
Quote Tweets 261 (8%)

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 1,379 retweets (44% 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 3,159 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 50,000 followers

His audience includes Bollywood fans, fellow actors, and movie enthusiasts. They are likely interested in his career, personal life, and film projects.

Average

Audience Quality

32.4%

Suspicion Index

34.5%

Low-Quality %

18

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

44.8%

Empty Bio

35.8%

<10 Tweets

14.4%

Mass Following (>2K)

0.0%

New (<90 days)

76.3%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.1%

No URL

24.2%

<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.

62,466,741

Total Potential Reach

18

Median Follower Reach

71

75th Percentile Reach

2.3%

>1K followers

0.4%

>10K followers

0.2%

>50K followers

0.1%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

40.7%

Creators

20,359 accounts

23.5%

Consumers

11,760 accounts

35.8%

Dormant

17,881 accounts

121

Verified Followers

0.24% of total

7.9%

Professional Bios

founder, dev, analyst, etc.

0.04

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 (2,364) Mumbai, India (1,700) New Delhi, India (1,441) Pune, India (522) Kolkata, India (492) Bengaluru, India (482) Mumbai (471) Hyderabad, India (313) New Delhi (292) Jaipur, India (248)

189

Verified Followers

0.19% of total

8,123

Protected Accounts

8.04% of total

7 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 14,100,430 Wrestler Wrestling, Motivation, Self-promotion
@sonamakapoor 13,122,935 Actor Movies, Fashion, Beauty
@NSaina 8,384,613 Badminton Player Badminton, Olympics, Friendship
@WhoSunilGrover 6,103,783 Comedian Comedy, Acting, Entertainment
@AzmiShabana 3,272,234 Actor Social change, Art, Actor
@ZAbbasOfficial 2,249,983 Sports Presenter Cricket, Sports, Media
@CynthiaLIVE 1,424,365 Entrepreneur Personal Branding, Keynote Speaking, Columnist
@IndiaHistorypic 1,377,733 Historian -
@SinghLions 1,334,296 Restaurateur Food, Travel, Influencer
@soledadobrien 1,317,895 Journalist working, mom, journalist

Top Keywords in Follower Bios

love (2,696) life (2,170) indian (2,014) music (1,962) lover (1,361) student (1,361) sports (1,278) engineer (1,271) india (1,224) news (1,221)

Top Hashtags in Follower Bios

#indian (68) #music (52) #foodie (45) #entrepreneur (43) #dreamer (41) #love (39) #writer (36) #traveller (36) #bollywood (33) #engineer (33)

49,994

Followers With Bio

51,005

Followers Without Bio

49.5%

% With Bio

50.5%

% 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 3,159 analyzed

97,054

Combined Engagement

5,570

Total Likes

91,484

Total Retweets

19,411

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

80%

With @Mentions

60%

With Links

Topical Analysis:

Bollywood Film Industry Personal Life Entertainment Engagement Storytelling

Network & Following Analysis

Based on 490 accounts followed

Following Quality Signals

Who this account chooses to follow reveals their information diet and network quality.

42.4%

Verified Accounts

36.9%

High Authority (>50K)

3.5%

Dormant Accounts

5.7%

Low Quality

16,559

Median Reach of Followed Accounts

Heuristic analysis. For ML-powered bot detection, try our Bot Detector.

45.7%

Individuals

224 accounts

53.1%

Brands/Orgs

260 accounts

1.2%

Media/News

6 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@ Twitter 59,235,525 - -
@ Amitabh Bachchan 45,730,512 - -
@ Arvind Kejriwal 22,650,610 - -
@ Dalai Lama 19,194,276 - -
@ Forbes 16,890,828 - -
@ The Times Of India 13,676,017 - -
@ Sonam K Ahuja 13,157,299 - -
@ Ratan N. Tata 9,829,666 - -
@ The New Yorker 8,953,870 - -
@ Saina Nehwal 8,505,819 - -

Key Insights & Takeaways

He leverages personal stories and film projects to connect with his audience Collaborations with other celebrities enhance his reach and engagement He balances entertainment with emotional content to maintain audience interest

Strengths

  • + Established follower base of 238,158
  • + 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 @pathakvinay reveals an growing Twitter presence with 238,158 followers. The account demonstrates a content-creator strategy, averaging 71.8 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