Lakshay Pandey
Assistant Commissioner of Police (ACP) | UPSC CSE 2018 | Uttarakhandi | Views and RTs aren’t endorsements.
91,679
Followers
806
Following
273
Tweets
1,645.4
Avg Engagement
72
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @lakshay_cop'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:2020-04-12
- Verification:No
- Location:New Delhi, India
Data Summary
- Tweets Analyzed:271
- Avg Likes per Tweet:1,509.1
- Avg Retweets per Tweet:136.2
- Followers Analyzed:10,998
Engagement Analysis
Based on 271 tweetsHis tweets receive high engagement, indicating a strong connection with his followers and relevance to their interests.
1,509.1
Avg Likes/Tweet
136.2
Avg Retweets/Tweet
408,978
Total Likes
36,923
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
74
Median Likes
19
Median Retweets
994
75th Percentile
42,633
Top Tweet
17.95
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
44.3%
Original
24.0%
Replies
25.8%
Retweets
5.9%
Quotes
0.0%
Threads
1.1%
With Media
68.3%
With Links
44.6%
With #Tags
60.9%
With @Mentions
49.8%
With Emojis
154
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.54
Reply/Original Ratio
0.23
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
67.5%
Weekday Posts
32.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 271 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 70 retweets (26% 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 271 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 10,998 followersHis audience likely includes aspiring civil servants and students interested in UPSC exams and personal development.
Average
Audience Quality
27.7%
Suspicion Index
30.9%
Low-Quality %
8
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
37.1%
Empty Bio
36.9%
<10 Tweets
5.7%
Mass Following (>2K)
0.0%
New (<90 days)
66.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
93.0%
No URL
24.6%
<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.
22,065,252
Total Potential Reach
8
Median Follower Reach
38
75th Percentile Reach
3.3%
>1K followers
0.7%
>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).
37.6%
Creators
4,133 accounts
25.5%
Consumers
2,803 accounts
36.9%
Dormant
4,062 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):
55
Verified Followers
0.5% of total
996
Protected Accounts
9.06% 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 | 14,094,502 | Wrestler | Wrestling, Motivation, Self-promotion |
| @RakeshSinha01 | 1,385,322 | Politician | Politics, Author, Committee |
| @srinivasiyc | 797,086 | Politician | Politics, Youth, Volunteerism |
| @Shehzad_Ind | 640,446 | Activist | Islam, Hindu Culture, Bhartiya Ideology |
| @ankidurg | 280,848 | Law Enforcement | Law Enforcement, Civil Services, Proud Indian |
| @Sunil_Deodhar | 235,815 | Politician | Politics, BJP, Andhra Pradesh |
| @HerbertRSim | 226,808 | Investor | Economics, GeoPolitics, AI |
| @kavitaaayein | 174,657 | - | - |
| @CharuPragya | 174,231 | Lawyer | Law, Politics, Youth |
| @ManMundra | 170,175 | Filmmaker | Filmmaking, Traveling, Painting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,915
Followers With Bio
4,083
Followers Without Bio
62.88%
% With Bio
37.12%
% 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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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 271 analyzed156,460
Combined Engagement
145,567
Total Likes
10,893
Total Retweets
31,292
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
0%
With @Mentions
100%
With Links
Topical Analysis:
Books needed for preparation of UPSC civil services exam. This is based on my experience. Trick is to read minimum books multiple times . You can message me about any other doubt as well .☺️ #UPSC #books https://t.co/IU3EaMPNuC
Different times , Different roles 😃 https://t.co/eKO9gWScsz
Lifelong student ☺️ https://t.co/XnPhvAnTqq
Can you see my smile behind the mask ? ☺️ https://t.co/t8zWe0J2Z6
Sanitizer has become my new Best Friend . Say Hello ... ☺️ https://t.co/j43PrtDTCD
Key Insights & Takeaways
He emphasizes the importance of reading minimum books multiple times for UPSC preparation. He shares personal experiences and learning journeys, which resonate with his audience. He encourages a mindset of lifelong learning and adaptability in different roles.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 91,679
- + 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 @lakshay_cop reveals an exceptionally influential Twitter presence with 91,679 followers. The account demonstrates a content-creator strategy, averaging 1,645.4 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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