Sandeep Nailwal | sandeep. polygon 💜

Sandeep Nailwal | sandeep. polygon 💜

@sandeepnailwal

Serving @0xPolygon Builders, Founder @0xPolygon & @cryptorelief_ . I freely retweet Polygon ecosystem projects. Retweets are not endorsements.

Metaverse https://polygon.technology/ Joined 2009-12-31 Date of Analysis: Dec 16, 2025

266,217

Followers

4,096

Following

17,240

Tweets

112.2

Avg Engagement

1,866

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @sandeepnailwal'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:2009-12-31
  • Verification:No
  • Location:Metaverse

Data Summary

  • Tweets Analyzed:3,237
  • Avg Likes per Tweet:36.1
  • Avg Retweets per Tweet:76.1
  • Followers Analyzed:50,000

Engagement Analysis

Based on 3,237 tweets

His tweets receive a high level of engagement, with an average of 1,901 likes and 309 retweets. This indicates a strong and active community around his content.

36.1

Avg Likes/Tweet

76.1

Avg Retweets/Tweet

116,785

Total Likes

246,445

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

19

Median Retweets

72

75th Percentile

52,456

Top Tweet

0.42

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

4.0%

Original

10.6%

Replies

78.9%

Retweets

6.5%

Quotes

0.0%

Threads

0.2%

With Media

27.3%

With Links

17.1%

With #Tags

96.4%

With @Mentions

32.0%

With Emojis

127

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

2.62

Reply/Original Ratio

0.08

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

80.8%

Weekday Posts

19.2%

Weekend Posts

Top Hashtags

#zkevm (101) #onpolygon (63) #polygon (61) #web3 (34) #ethereum (28) #nft (21) #matic (14) #1 (12) #poweredbypolygon (12) #defiforall (11)

Most Mentioned

@0xpolygon (1262) @sandeepnailwal (155) @y00tsnft (120) @sourcex44 (92) @narbtrading (84) @frankdegods (82) @0xpolygondefi (75) @onpolygon_ (72) @0xpolygonlabs (71) @_khanhamzah (60)

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Content Strategy Analysis

Based on 3,237 tweets

Content Type Distribution

Content Breakdown

Original Tweets 131 (4%)
Replies 343 (11%)
Retweets 2,553 (79%)
Quote Tweets 210 (6%)

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 2,553 retweets (79% 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 3,237 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 primarily consists of blockchain developers, investors, and enthusiasts. They are interested in the latest updates and innovations in the crypto space.

Good

Audience Quality

17.6%

Suspicion Index

18.7%

Low-Quality %

85

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

28.5%

Empty Bio

14.9%

<10 Tweets

16.1%

Mass Following (>2K)

0.0%

New (<90 days)

33.5%

Low Ratio (<0.1)

0.0%

New (<180 days)

77.0%

No URL

8.8%

<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.

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Follower Reach & Influence

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

117,458,656

Total Potential Reach

85

Median Follower Reach

417

75th Percentile Reach

15.8%

>1K followers

3.0%

>10K followers

0.7%

>50K followers

0.3%

>100K followers

Creator vs Consumer Split

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

64.3%

Creators

32,148 accounts

20.8%

Consumers

10,380 accounts

14.9%

Dormant

7,472 accounts

3,559

Verified Followers

7.12% of total

16.5%

Professional Bios

founder, dev, analyst, etc.

0.17

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 (623) Metaverse (497) United States (359) London, England (219) New Delhi, India (218) Bengaluru, India (205) Los Angeles, CA (198) Mumbai, India (180) Singapore (173) Web3 (173)

5,378

Verified Followers

5.33% of total

4,585

Protected Accounts

4.54% 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
@McDonalds 4,765,083 Fast Food Fast Food, Grimace, Friendship
@CryptoWeb3_NFT 4,365,860 - -
@TheChainsmokers 3,288,585 Musicians Music, DJ, Production
@TrustWallet 2,301,983 Crypto Wallet Crypto, Wallet, Spooky
@SirKunt 2,252,518 - -
@Cointelegraph 1,890,653 Crypto News Bitcoin, Ethereum, blockchain
@ijustine 1,856,790 YouTuber tech, video games, podcast
@kodaja_ 1,605,894 - -
@screamau 1,550,254 Singer singer, composer, NFTs
@RakeshSinha01 1,386,769 Politician Politics, Author, Committee

Top Keywords in Follower Bios

crypto (9,437) web (7,850) nft (5,418) blockchain (3,760) enthusiast (2,987) bitcoin (2,584) building (2,306) nfts (2,288) founder (2,122) investor (1,984)

Top Hashtags in Follower Bios

#bitcoin (1,973) #nft (1,365) #crypto (1,313) #btc (1,194) #web3 (1,150) #eth (947) #blockchain (641) #bnb (613) #nfts (522) #defi (511)

72,008

Followers With Bio

28,979

Followers Without Bio

71.3%

% With Bio

28.7%

% 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 3,237 analyzed

71,987

Combined Engagement

2,442

Total Likes

69,545

Total Retweets

14,397

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

60%

With Links

Topical Analysis:

Blockchain Cryptocurrency 0xpolygon Zkevm Community Engagement Personal Storytelling

Key Insights & Takeaways

He often shares personal stories that humanize his brand and connect with his audience. He highlights significant milestones and events in the blockchain industry, such as the first transaction on 0xPolygon's zkEVM. He uses a mix of professional and personal content to maintain a relatable and authentic presence.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 266,217
  • + 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 @sandeepnailwal reveals an well-established Twitter presence with 266,217 followers. The account demonstrates a conversation-first approach, averaging 112.2 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.

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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