MAXX 𓂀

MAXX 𓂀

@Web3Maxx

Part time degen, full time builder👩🏻‍💻 | Phygital👑 | @ODlabs 👾 | @badtakecrew | @cultureiscode | ✍️ @chainjournal Prev: @Hypebeast | 📨 [email protected]

New York, USA Joined 2022-06-28 Date of Analysis: Dec 16, 2025

12,405

Followers

6,917

Following

28,804

Tweets

6.1

Avg Engagement

64

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @Web3Maxx'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:2022-06-28
  • Verification:No
  • Location:New York, USA

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:4.6
  • Avg Retweets per Tweet:1.5
  • Followers Analyzed:11,741
  • Following Analyzed:7,044

Engagement Analysis

Based on 3,250 tweets

Web3Maxx's tweets typically receive moderate engagement, with an average of 380 likes and 29 retweets. The content is designed to be relatable and engaging, encouraging interaction through humor and personal anecdotes.

4.6

Avg Likes/Tweet

1.5

Avg Retweets/Tweet

15,090

Total Likes

4,866

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

2

75th Percentile

508

Top Tweet

0.49

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

2.1%

Original

94.4%

Replies

3.0%

Retweets

0.5%

Quotes

0.0%

Threads

0.1%

With Media

10.1%

With Links

0.7%

With #Tags

97.8%

With @Mentions

65.0%

With Emojis

61

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

44.46

Reply/Original Ratio

0.16

Quote/RT Ratio

Posting Rhythm

Somewhat Bursty

Occasional posting spikes

73.0%

Weekday Posts

27.0%

Weekend Posts

Top Hashtags

#nfts (4) #web3 (4) #dojo (3) #dojochip (2) #eth (2) #1000x (2) #optimus (2) #doge (2) #crypto (2) #fashion (2)

Most Mentioned

@cultandrain (610) @0xpeblo (46) @sloanewaldman25 (40) @coinbase (39) @sheisdoughdaddy (38) @garyvee (38) @stackierobins0n (34) @wrkbzs (29) @cm00v (28) @jagyyt (28)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 69 (2%)
Replies 3,068 (94%)
Retweets 97 (3%)
Quote Tweets 16 (0%)

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 97 retweets (3% 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 3,250 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 11,741 followers

Their audience includes crypto enthusiasts, Web3 builders, and followers of related projects and communities. The content appeals to both casual observers and active participants in the space.

Good

Audience Quality

17.4%

Suspicion Index

9.5%

Low-Quality %

1,330

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

6.1%

Empty Bio

13.5%

<10 Tweets

41.9%

Mass Following (>2K)

0.0%

New (<90 days)

15.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

63.5%

No URL

12.9%

<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.

82,497,600

Total Potential Reach

1,330

Median Follower Reach

3,245

75th Percentile Reach

57.2%

>1K followers

7.8%

>10K followers

1.6%

>50K followers

0.7%

>100K followers

Creator vs Consumer Split

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

83.7%

Creators

9,826 accounts

2.9%

Consumers

335 accounts

13.5%

Dormant

1,580 accounts

3,342

Verified Followers

28.46% of total

28.7%

Professional Bios

founder, dev, analyst, etc.

0.8

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):

Metaverse (250) Los Angeles CA (159) United States (152) Web3 (101) Canada (65) Miami FL (58) New York USA (57) New York NY (56) California USA (55) Chicago IL (55)

71

Verified Followers

0.51% of total

44

Protected Accounts

0.32% of total

3 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 14,106,733 Wrestler Wrestling, Motivation, Self-promotion
@verified 4,201,281 - -
@NoraEstia 778,682 Crypto Influencer Crypto, Giveaways, NFT
@RaminNasibov 740,656 Designer Design, Art, Opensea
@FashionweekNYC 574,182 Fashion Blogger Fashion, Culture, Runways
@SlimJim 489,051 Snack Influencer meat, long boi, champions
@shiralazar 356,559 Host Wellness, Advocacy, Media
@TI25AQYAH 337,300 Influencer Dragons, Malaysia, Apology
@robtswthrayguns 259,940 Inventor synthwave, NFT, NSFW
@ColumbusShort1 259,096 Actor world changer, ORCA UNITED SOCIETY, ARTIST

Top Keywords in Follower Bios

nft (1,492) web (1,439) crypto (939) nfts (758) artist (736) art (539) enthusiast (493) collector (451) founder (422) community (391)

Top Hashtags in Follower Bios

#nft (294) #web3 (217) #nfts (155) #crypto (144) #eth (139) #spaceshost (131) #bitcoin (127) #btc (121) #akcb (69) #apespaces (54)

10,634

Followers With Bio

3,171

Followers Without Bio

77.03%

% With Bio

22.97%

% 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 3,250 analyzed

2,385

Combined Engagement

1,785

Total Likes

600

Total Retweets

477

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

0%

With Hashtags

40%

With @Mentions

100%

With Links

Topical Analysis:

Web3 Crypto Community Engagement Personal Branding Casual Content Project Promotion

Network & Following Analysis

Based on 7,044 accounts followed

Following Quality Signals

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

37.7%

Verified Accounts

2.9%

High Authority (>50K)

100.0%

Dormant Accounts

3.4%

Low Quality

2,135

Median Reach of Followed Accounts

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

87.1%

Individuals

6,137 accounts

7.1%

Brands/Orgs

502 accounts

5.7%

Media/News

405 accounts

Most Influential Accounts They Follow

Account Followers Profession Interests
@elonmusk Elon Musk 155,054,840 Entrepreneur Space, Technology, Innovation
@binance Binance 10,756,316 Cryptocurrency Exchange Cryptocurrency, Blockchain, Digital Assets
@TMZ TMZ 7,165,678 Entertainment News celebrity gossip, pop culture, breaking news
@Roblox Roblox 7,073,513 Gaming Gaming, Community, Innovation
@CoinMarketCap CoinMarketCap 5,990,787 Crypto Tracker Cryptocurrency, Revolution, Education
@coinbase Coinbase 🛡️ 5,866,168 Cryptocurrency Exchange crypto, buying, selling
@VitalikButerin vitalik.eth 4,984,866 Cryptocurrency Developer Ethereum, Dragon Tyrant, Abolition
@HumansNoContext NO CONTEXT HUMANS 👤 4,683,480 Social Media Manager No Context, Humans, Content
@verified Verified 4,193,063 - -
@okx OKX 3,498,166 Cryptocurrency Exchange Bitcoin, Crypto, Exchange

Key Insights & Takeaways

They often use casual, relatable language to connect with their audience Their content blends personal and professional updates, reflecting their dual role as a degen and builder They engage with multiple communities and projects, indicating a broad interest in the Web3 ecosystem

Strengths

  • + Established follower base of 12,405
  • + 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 @Web3Maxx reveals an growing Twitter presence with 12,405 followers. The account demonstrates a conversation-first approach, averaging 6.1 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.

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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