EvanLuthra.eth

EvanLuthra.eth

@EvanLuthra

2x Forbes 30 U 30 🚀 • Angel Investor💰 • #YOLO 👾 • DM for Collabs 🤝 Tweets on #Crypto #Bitcoin #NFT 🗺️ Best way to predict the future is to go build it!

United States https://linktr.ee/evanluthra Joined 2010-10-24 Date of Analysis: Dec 16, 2025

111,437

Followers

634

Following

7,421

Tweets

191.4

Avg Engagement

363

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @EvanLuthra'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:2010-10-24
  • Verification:No
  • Location:United States

Data Summary

  • Tweets Analyzed:3,000
  • Avg Likes per Tweet:80.8
  • Avg Retweets per Tweet:110.6
  • Followers Analyzed:50,000
  • Following Analyzed:512

Engagement Analysis

Based on 3,000 tweets

Evan's tweets are highly interactive, with strong average likes and retweets, indicating a loyal and engaged audience. His use of hashtags and calls to action further boosts engagement and visibility.

80.8

Avg Likes/Tweet

110.6

Avg Retweets/Tweet

242,436

Total Likes

331,765

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

16

Median Likes

8

Median Retweets

197

75th Percentile

32,259

Top Tweet

1.72

Engagement per 1K Followers

Normalized influence metric

Viral Spikes

Engagement Pattern

Few posts get most engagement

Posting Behavior

Content style and format preferences

Conversationalist

Highly engaged in discussions

31.3%

Original

55.2%

Replies

8.1%

Retweets

5.4%

Quotes

0.0%

Threads

0.0%

With Media

40.2%

With Links

32.9%

With #Tags

64.5%

With @Mentions

50.6%

With Emojis

119

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

1.76

Reply/Original Ratio

0.67

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

73.3%

Weekday Posts

26.7%

Weekend Posts

Top Hashtags

#bitcoin (314) #crypto (135) #nft (60) #nfts (55) #binance (36) #web3 (33) #usdt (26) #ethereum (24) #btc (21) #ftx (20)

Most Mentioned

@cz_binance (200) @bitgetglobal (136) @evanluthra (124) @elonmusk (105) @sumitkapoor16 (74) @davincij15 (51) @cillionaire_com (50) @themooncarl (50) @rovercrc (48) @binance (47)

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Content Strategy Analysis

Based on 3,000 tweets

Content Type Distribution

Content Breakdown

Original Tweets 939 (31%)
Replies 1,655 (55%)
Retweets 243 (8%)
Quote Tweets 163 (5%)

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 243 retweets (8% 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 3,000 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 crypto enthusiasts, investors, and influencers interested in blockchain technology and digital assets. The audience is likely active on social media and engaged with content related to financial opportunities and scams.

Good

Audience Quality

16.9%

Suspicion Index

12.4%

Low-Quality %

58

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

21.2%

Empty Bio

6.8%

<10 Tweets

15.8%

Mass Following (>2K)

0.0%

New (<90 days)

46.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

86.5%

No URL

3.5%

<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.

69,266,175

Total Potential Reach

58

Median Follower Reach

174

75th Percentile Reach

7.0%

>1K followers

1.3%

>10K followers

0.4%

>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).

79.0%

Creators

39,492 accounts

14.3%

Consumers

7,127 accounts

6.8%

Dormant

3,381 accounts

2,186

Verified Followers

4.37% of total

11.7%

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 (543) Metaverse (353) United States (323) Indonesia (296) Nigeria (244) USA (192) Earth (181) Lagos, Nigeria (180) Singapore (170) London, England (167)

335

Verified Followers

3.35% of total

190

Protected Accounts

1.9% 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
@TheWignus 2,486,826 - -
@LeBronJames 970,217 - -
@noxuspi 772,463 Crypto Promoter Crypto, Promotions, Paid
@zhusu 563,040 Investor crypto, DeFi, NFTs
@rovercrc 506,822 - -
@CGAAHosts 470,743 - -
@ShibaInuHodler 407,177 Crypto Trader Crypto, Trading, Whale
@Einstein_BTC__ 343,657 - -
@DeFiMasterCall 331,664 Cryptocurrency Trader DeFi, Layer2, Partner
@Web3Point2k23 254,907 - -

Top Keywords in Follower Bios

crypto (1,418) nft (1,002) web (496) enthusiast (376) eth (374) btc (357) nfts (332) bitcoin (327) giveaway (309) life (287)

Top Hashtags in Follower Bios

#bitcoin (281) #btc (269) #eth (249) #bnb (247) #crypto (246) #nft (236) #web3 (85) #sol (77) #nfts (71) #bsc (57)

7,914

Followers With Bio

2,086

Followers Without Bio

79.14%

% With Bio

20.86%

% 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 Tweet Data

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Viral Tweets

Top 5 by likes+RTs from 3,000 analyzed

86,750

Combined Engagement

9,662

Total Likes

77,088

Total Retweets

17,350

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

80%

With Hashtags

80%

With @Mentions

80%

With Links

Topical Analysis:

Crypto Bitcoin Nfts Angel Investing Scams Collaborations Giveaways Social Media Engagement
EvanLuthra.eth
@EvanLuthra

RT @metafluence: 🔥Practice the most unprecedented, immersive &amp; impressive #Metaverse experience ever with high-fidelity avatars, Metahumans, big Metahuts, gorgeous landscapes, and so on in #MetafluenceCity 😎 🏙 Become an early resident by getting a virtual property 👉 https://

2022-12-10
Retweets: 32,259 Likes: 0 Engagement: 32,259
EvanLuthra.eth
@EvanLuthra

RT @historyinmemes: How the borders have changed over time https://t.co/Rs8RmTpRw1

2022-11-01
Retweets: 25,632 Likes: 0 Engagement: 25,632
EvanLuthra.eth
@EvanLuthra

I had $200,000+ in Bitget and it got stolen. The worst part is that they're not responding to me, instead, they're spreading lies about me: (🧵) #BitgetExposed https://t.co/C1eKxKYptm

2023-04-04
Retweets: 4,947 Likes: 4,779 Engagement: 9,726
EvanLuthra.eth
@EvanLuthra

I just had $200,000 illegally stolen from me by @BitgetGlobal and my account frozen without reason. #Bitget is a scam exchange, take your money out NOW! They 100% cannot be trusted. If they can do this to me, they can do this to anyone. Bitget is the next FTX in the making.…

2023-03-31
Retweets: 4,774 Likes: 4,883 Engagement: 9,657
EvanLuthra.eth
@EvanLuthra

RT @MedievalEmpires: #MedievalEmpires X @thedaomaker - GIVEAWAY ALERT! 🎁🚀 The winners can get: 🔷 1 #ETH 🏝️ Medieval Empires Land #NFT All you need to do is: 1️⃣ Follow the steps at: https://t.co/YieKqzSgLk 2️⃣ Like &amp; Retweet this tweet #airdrop #crypto #giveaway https://t.

2022-11-10
Retweets: 9,476 Likes: 0 Engagement: 9,476

Network & Following Analysis

Based on 512 accounts followed

Following Quality Signals

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

63.9%

Verified Accounts

48.2%

High Authority (>50K)

100.0%

Dormant Accounts

3.1%

Low Quality

44,525

Median Reach of Followed Accounts

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

76.0%

Individuals

389 accounts

11.7%

Brands/Orgs

60 accounts

12.3%

Media/News

63 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 154,975,739 Entrepreneur Space, Technology, Innovation
@X X 66,565,697 Social Media Manager -
@Google Google 30,348,911 Technology Company Technology, Innovation, Voice Assistant
@pitbull Pitbull 24,465,236 Musician Music, Education, Entrepreneurship
@Xbox Xbox 21,437,629 Gaming Gaming, Xbox, Celebration
@9GAG 9GAG ❤️ Memeland 16,887,980 Entertainment memes, gifs, videos
@richardbranson Richard Branson 12,476,929 Entrepreneur adventurer, philanthropy, astronaut
@joerogan Joe Rogan 11,683,479 Comedian Stand up comedy, MMA, psychedelics
@TEDTalks TED Talks 11,192,725 Inspirational Speaker Ideas, Future, Membership
@cz_binance CZ 🔶 Binance 8,608,603 Cryptocurrency Trader Crypto, Binance, Bitcoin

Key Insights & Takeaways

Evan frequently shares personal experiences, such as financial losses from crypto exchanges, which can build trust and authenticity. He actively promotes collaborations and giveaways, which can drive user interaction and growth. His content often includes calls to action, encouraging followers to engage through likes, retweets, and tagging influencers.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 111,437
  • + 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 @EvanLuthra reveals an well-established Twitter presence with 111,437 followers. The account demonstrates a conversation-first approach, averaging 191.4 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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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