Rahul sinha
Tv Journalist देश से बड़ा कुछ नहीं , न्यूज़ मित्रों से रोज़ शाम 7 बजे “सत्ता” में मुलाक़ात @Tv9bharatvarsh पर
435,258
Followers
118
Following
12,118
Tweets
1,266.1
Avg Engagement
133
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @RahulSinhaTV'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:2012-12-06
- Verification:No
- Location:Noida, India
Data Summary
- Tweets Analyzed:3,246
- Avg Likes per Tweet:979.6
- Avg Retweets per Tweet:286.4
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,246 tweetsHis tweets are well-received, with high average likes and retweets, indicating strong audience interaction. The content often sparks discussion and debate, particularly on sensitive topics.
979.6
Avg Likes/Tweet
286.4
Avg Retweets/Tweet
3,179,906
Total Likes
929,815
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
35
Median Likes
11
Median Retweets
835
75th Percentile
47,213
Top Tweet
2.91
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Commentator
Adds perspective to others content
36.7%
Original
1.7%
Replies
38.2%
Retweets
23.5%
Quotes
0.0%
Threads
0.0%
With Media
45.5%
With Links
32.0%
With #Tags
54.4%
With @Mentions
5.9%
With Emojis
124
Avg Length
Audience Reaction Profile
Broadcast
Focuses on original content over replies
0.05
Reply/Original Ratio
0.62
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
74.7%
Weekday Posts
25.3%
Weekend Posts
Top Hashtags
Most Mentioned
Want This Report as PDF?
We're building PDF export for these analytics reports. Register your interest to get early access.
Content Strategy Analysis
Based on 3,246 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 1,239 retweets (38% 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 3,246 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 followersHis audience is primarily interested in news, politics, and media analysis. They engage with his content regularly, especially around scheduled news segments and commentary.
Average
Audience Quality
24.7%
Suspicion Index
22.0%
Low-Quality %
35
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
32.2%
Empty Bio
20.4%
<10 Tweets
17.8%
Mass Following (>2K)
0.0%
New (<90 days)
59.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
92.6%
No URL
11.8%
<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.
24,956,493
Total Potential Reach
35
Median Follower Reach
165
75th Percentile Reach
6.4%
>1K followers
0.4%
>10K followers
0.1%
>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).
56.4%
Creators
28,185 accounts
23.2%
Consumers
11,604 accounts
20.4%
Dormant
10,211 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):
410
Verified Followers
0.41% of total
6,980
Protected Accounts
6.91% 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 |
|---|---|---|---|
| @ManojTiwariMP | 1,747,740 | Politician | Actor, Singer, Politician |
| @YogiDevnath2 | 1,355,568 | - | - |
| @SinghLions | 1,334,826 | Restaurateur | Food, Travel, Influencer |
| @RJDforIndia | 991,644 | Politics | Social Justice, Secularism, Politics |
| @TheUpenYadav | 868,235 | Social Worker | Rajasthan, Unemployed, Social Worker |
| @LambaAlka | 817,478 | Politician | Indian culture, patriotism, activism |
| @AshwiniUpadhyay | 533,571 | Politician | Nationalism, Anti-corruption, Unity |
| @LostTemple7 | 516,427 | Storyteller | History, Storytelling, Time Machine |
| @recycleindia | 399,928 | Environmental Activist | recycling, waste disposal, clean India |
| @romanaisarkhan | 350,524 | News Anchor | News, Anchor, Views |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,270
Followers With Bio
32,728
Followers Without Bio
67.6%
% With Bio
32.4%
% 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 $15Buy Tweet Data
Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,246 analyzed187,697
Combined Engagement
132,322
Total Likes
55,375
Total Retweets
37,539
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
40%
With @Mentions
40%
With Links
Topical Analysis:
आज से नई शुरुआत @TV9Bharatvarsh के साथ https://t.co/WTT9rsGckT
18 साल बाद मेरा और ज़ी न्यूज़ का साथ अब छूट गया है। एक पूरी उम्र इस संस्थान के साथ गुज़ारी । क्यों छूटा ज़ी न्यूज़ और बहुत सारी बातें आज शाम 5 बजे फ़ेसबुक पर लाइव में बताऊँगा
RT @mangeshkarlata: #IndiaTogether #IndiaAgainstPropaganda https://t.co/JpUKyoB4vn
फ़्रांस की चार्ली हेब्दो ने फिर पैगंबर मोहम्मद का कार्टून छापा -मैग्जीन ने कहा हम नहीं झुकेंगे
उत्तर प्रदेश के मुख्यमंत्री योगी आदित्य नाथ ने अनुराग कश्यप समेत बॉलीवु़ड के कई लोगो की 2017 में 50000 रू महीने की पेशन बंद कर दी थी.यूपी की अखिलेश सरकार ने यश भारती सम्मान के तहत ये पेंशन शुरू की थी..ये खुलासा एक आरटीआई से हुआ था,हर महीने इतने नुकसान के हिसाब से गुस्सा जायज़ है
Key Insights & Takeaways
He frequently collaborates with TV9Bharatvarsh, highlighting his role in news broadcasting. His tweets often reflect on media relationships and career transitions. He addresses sensitive topics like freedom of speech and media ethics, which resonate with his audience.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 435,258
- + 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 @RahulSinhaTV reveals an exceptionally influential Twitter presence with 435,258 followers. The account demonstrates a content-creator strategy, averaging 1,266.1 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