Jaynti Kanani (JD)

Jaynti Kanani (JD)

@jdkanani

Building something wonderful. Founder @0xPolygon

Joined 2012-09-20 Date of Analysis: Dec 16, 2025

57,681

Followers

1,988

Following

13,894

Tweets

574.2

Avg Engagement

575

Listed

Yes

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @jdkanani'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:2012-09-20
  • Verification:Yes
  • Location:Not specified

Data Summary

  • Tweets Analyzed:500
  • Avg Likes per Tweet:18.2
  • Avg Retweets per Tweet:556.1
  • Followers Analyzed:50,000
  • Following Analyzed:1,990

Engagement Analysis

Based on 500 tweets

Their tweets typically receive a moderate to high number of likes and retweets, indicating a loyal and active audience. The engagement suggests a balance between personal and professional content.

18.2

Avg Likes/Tweet

556.1

Avg Retweets/Tweet

9,090

Total Likes

278,026

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

0

Median Likes

8

Median Retweets

84

75th Percentile

45,419

Top Tweet

9.96

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

6.8%

Original

28.0%

Replies

56.2%

Retweets

9.0%

Quotes

0.0%

Threads

0.4%

With Media

31.2%

With Links

8.8%

With #Tags

85.0%

With @Mentions

14.4%

With Emojis

107

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

4.12

Reply/Original Ratio

0.16

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

81.0%

Weekday Posts

19.0%

Weekend Posts

Top Hashtags

#zkevm (10) #onpolygon (4) #polygon (4) #matic (3) #fintechandweb3founders (2) #1 (2) #zksummit (1) #ai16zk (1) #blockchain (1) #gpt (1)

Most Mentioned

@0xpolygon (90) @chainyoda (16) @jbaylina (16) @eugenedvv (15) @nickyp103 (14) @jdkanani (13) @wootzapp (11) @_bfarmer (10) @mudit__gupta (10) @_khanhamzah (9)

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Content Strategy Analysis

Based on 500 tweets

Content Type Distribution

Content Breakdown

Original Tweets 34 (7%)
Replies 140 (28%)
Retweets 281 (56%)
Quote Tweets 45 (9%)

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 281 retweets (56% 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 500 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

Their audience includes tech enthusiasts, blockchain developers, and entrepreneurs interested in web3 projects. They also engage with a broader audience through personal and cultural content.

Average

Audience Quality

20.7%

Suspicion Index

17.7%

Low-Quality %

76

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

27.4%

Empty Bio

14.0%

<10 Tweets

19.5%

Mass Following (>2K)

0.0%

New (<90 days)

47.2%

Low Ratio (<0.1)

0.0%

New (<180 days)

74.8%

No URL

7.9%

<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.

118,739,031

Total Potential Reach

76

Median Follower Reach

289

75th Percentile Reach

10.9%

>1K followers

2.3%

>10K followers

0.6%

>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).

64.0%

Creators

31,997 accounts

22.0%

Consumers

10,985 accounts

14.0%

Dormant

7,018 accounts

2,295

Verified Followers

4.59% of total

18.7%

Professional Bios

founder, dev, analyst, etc.

0.11

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 (1,675) Bengaluru, India (987) Mumbai, India (636) New Delhi, India (580) Metaverse (532) Pune, India (286) Bangalore (270) Hyderabad, India (268) United States (264) London, England (255)

2,640

Verified Followers

4.84% of total

2,826

Protected Accounts

5.18% of total

6 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 14,105,719 Wrestler Wrestling, Motivation, Self-promotion
@cz_binance 8,364,088 Cryptocurrency Trader Crypto, Binance, Bitcoin
@thetanmay 6,695,838 Comedian Comedy, YouTube, Entrepreneurship
@justinsuntron 3,450,755 Entrepreneur Cryptocurrency, Blockchain, Technology
@okx 2,924,443 Cryptocurrency Exchange Bitcoin, Crypto, Exchange
@SirKunt 2,254,672 - -
@6BillionPeople 2,038,001 - -
@0xPolygonLabs 1,986,902 - -
@nikhilchinapa 1,932,292 Presenter Music, Festivals, Entrepreneur
@NEARProtocol 1,665,283 Blockchain Platform Blockchain, Climate-neutral, Reimagine

Top Keywords in Follower Bios

crypto (4,655) web (3,709) blockchain (2,426) nft (2,087) building (1,760) bitcoin (1,692) enthusiast (1,653) founder (1,425) engineer (1,401) developer (1,224)

Top Hashtags in Follower Bios

#bitcoin (1,376) #crypto (683) #nft (671) #web3 (544) #btc (484) #blockchain (432) #eth (384) #defi (341) #bnb (250) #ethereum (240)

39,753

Followers With Bio

14,822

Followers Without Bio

72.84%

% With Bio

27.16%

% 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 500 analyzed

128,715

Combined Engagement

0

Total Likes

128,715

Total Retweets

25,743

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Blockchain Web3 Personal Storytelling Entrepreneurship Technology Family Education

Network & Following Analysis

Based on 1,990 accounts followed

Following Quality Signals

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

30.2%

Verified Accounts

22.9%

High Authority (>50K)

100.0%

Dormant Accounts

6.0%

Low Quality

7,508

Median Reach of Followed Accounts

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

84.7%

Individuals

1,685 accounts

9.4%

Brands/Orgs

188 accounts

5.9%

Media/News

117 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,078,653 Entrepreneur Space, Technology, Innovation
@realDonaldTrump Donald J. Trump 87,262,086 - -
@X X 66,573,167 Social Media Manager -
@BillGates Bill Gates 63,556,356 Philanthropist Philanthropy, Learning, Technology
@kanyewest ye 31,750,278 - -
@SpaceX SpaceX 31,286,750 Aerospace Engineer Space, Rockets, Innovation
@EmmaWatson Emma Watson 27,615,245 Actress feminism, activism, sustainability
@VancityReynolds Ryan Reynolds 21,494,295 Actor gin, mobile, soccer
@aplusk ashton kutcher 16,625,276 Entrepreneur stories, companies, collaborations
@tomhanks Tom Hanks 15,598,077 Actor Movies, Acting, Fitness

Key Insights & Takeaways

They often share personal experiences that humanize their professional work. They emphasize the importance of building over attending events. They provide insights into the crypto space by comparing it to everyday technologies.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 57,681
  • + 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 @jdkanani reveals an well-established Twitter presence with 57,681 followers. The account demonstrates a conversation-first approach, averaging 574.2 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