Anuraag Saxena

Anuraag Saxena

@anuraag_saxena

Passionate about Public Affairs, Heritage & the Evolution of Narratives. Seva w/ @DataRvls & @IndiaPrideProj. RT ≠Endorsement. *Spammers muted*

Third rock from the sun https://www.facebook.com/unsupportedbrowser Joined 2013-03-07 Date of Analysis: Dec 16, 2025

57,130

Followers

225

Following

5,294

Tweets

845.2

Avg Engagement

170

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @anuraag_saxena'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: Mid-Tier (10K+)
  • Account Age:2013-03-07
  • Verification:No
  • Location:Third rock from the sun

Data Summary

  • Tweets Analyzed:3,013
  • Avg Likes per Tweet:38.2
  • Avg Retweets per Tweet:807.0
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,013 tweets

His tweets receive a high number of likes on average, indicating strong audience interest. Retweets are also consistent, suggesting his content is often shared and appreciated within his community.

38.2

Avg Likes/Tweet

807.0

Avg Retweets/Tweet

115,233

Total Likes

2,431,360

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

4

Median Retweets

69

75th Percentile

130,017

Top Tweet

14.79

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

15.1%

Original

24.4%

Replies

47.3%

Retweets

13.1%

Quotes

0.0%

Threads

0.1%

With Media

65.1%

With Links

27.9%

With #Tags

77.0%

With @Mentions

22.5%

With Emojis

134

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.62

Reply/Original Ratio

0.28

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

74.4%

Weekday Posts

25.6%

Weekend Posts

Top Hashtags

#blood (36) #bloodmatters (36) #crypto (27) #bringourgodshome (24) #thread (16) #chatgpt (15) #budget2023 (15) #sos (14) #delhi (13) #modi (12)

Most Mentioned

@anuraag_saxena (484) @narendramodi (67) @aranganathan72 (59) @iyervval (50) @kushal_mehra (50) @elonmusk (48) @arth_live (48) @vikramsampath (37) @blooddonorsin (37) @gchikermane (36)

Want This Report as PDF?

We're building PDF export for these analytics reports. Register your interest to get early access.

Register Interest

Content Strategy Analysis

Based on 3,013 tweets

Content Type Distribution

Content Breakdown

Original Tweets 455 (15%)
Replies 736 (24%)
Retweets 1,426 (47%)
Quote Tweets 396 (13%)

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 1,426 retweets (47% 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 3,013 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

His audience likely includes individuals interested in Indian culture, history, and public affairs. They may also be fans of films and global pop culture, especially superhero and Bollywood content.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

44

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

91.8%

No URL

100.0%

<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 Detector

Follower Reach & Influence

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

42,680,986

Total Potential Reach

44

Median Follower Reach

168

75th Percentile Reach

5.6%

>1K followers

1.0%

>10K followers

0.3%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

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

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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 (560) New Delhi, India (212) Mumbai, India (149) Bengaluru, India (138) Hyderabad, India (95) Pune, India (70) Mumbai (67) भारत (65) Bharat (65) Bangalore (52)

0

Verified Followers

0.0% of total

838

Protected Accounts

8.38% of total

5 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 14,090,424 Wrestler Wrestling, Motivation, Self-promotion
@smritiirani 12,715,493 Politician Women's empowerment, Child welfare, Politics
@Suhelseth 4,652,755 Marketing Consultant Food, Marketing, Writing
@waglenikhil 926,328 Journalist Politics, Journalism, Authorship
@amitmalviya 733,643 Politician politics, economics, technology
@SleepSkee 701,070 Musician Music, Independent, Artist
@PleasureEllis 679,058 Entertainer Music, Transformation, Celebration
@AshwiniUpadhyay 554,808 Politician Nationalism, Anti-corruption, Unity
@AmanChopra_ 427,917 Journalist Politics, News, Debate
@kishanreddybjp 370,101 Politician Culture, Tourism, Development

Top Keywords in Follower Bios

indian (414) proud (404) hindu (380) india (224) nationalist (205) love (198) engineer (188) personal (176) life (169) politics (163)

Top Hashtags in Follower Bios

#savesoil (20) #hindu (10) #jaihind (7) #consciousplanet (7) #india (7) #ai (6) #travel (6) #indian (6) #bharat (6) #bjp (6)

6,343

Followers With Bio

3,657

Followers Without Bio

63.43%

% With Bio

36.57%

% 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.

Buy Follower Data

Export full follower list with profile details, bios, locations, and follower counts as CSV.

Buy Followers - from $15

Buy Tweet Data

Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.

Buy Tweets - from $15

Viral Tweets

Top 5 by likes+RTs from 3,013 analyzed

469,657

Combined Engagement

0

Total Likes

469,657

Total Retweets

93,931

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

100%

With Links

Topical Analysis:

Public Affairs Heritage Cultural Narratives Film & Pop Culture Social Advocacy

Key Insights & Takeaways

He frequently references Indian mythology and cultural icons like Hanuman, indicating a strong connection to traditional narratives. His tweets often compare historical and contemporary events, showing an analytical approach to cultural and social trends. He collaborates with organizations like @DataRvls and @IndiaPrideProj, suggesting a focus on data-driven storytelling and advocacy.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 57,130
  • + 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 @anuraag_saxena reveals an well-established Twitter presence with 57,130 followers. The account demonstrates a conversation-first approach, averaging 845.2 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.

Need Programmatic Access?

We're building an API for developers and researchers. Get access to Twitter data programmatically for your applications and analysis.

Register Interest for API Access

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