OP
〰️ Blockchain Advisor 〰️ NFA `BrokeNissanBoyz`
49,155
Followers
629
Following
1,858
Tweets
74
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hodlcryptoguys'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:2021-03-06
- Verification:No
- Location:dxb 🐫
Data Summary
- Followers Analyzed:50,000
- Following Analyzed:611
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Audience Demographics
Based on 50,000 followersThe primary audience includes crypto investors, NFT collectors, and blockchain enthusiasts. They may also attract newcomers seeking educational content.
Average
Audience Quality
31.0%
Suspicion Index
12.0%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
23.2%
Empty Bio
1.7%
<10 Tweets
55.4%
Mass Following (>2K)
0.0%
New (<90 days)
73.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.6%
No URL
0.8%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
41,713,099
Total Potential Reach
66
Median Follower Reach
178
75th Percentile Reach
4.8%
>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).
93.9%
Creators
46,946 accounts
4.4%
Consumers
2,214 accounts
1.7%
Dormant
840 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):
639
Verified Followers
1.19% of total
1,551
Protected Accounts
2.89% 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 |
|---|---|---|---|
| @ClarissaYorke | 2,563,939 | Partner Manager | Cyber security, Partner management, Gem hunting |
| @sofizamolo | 1,120,168 | Model | Fashion, Television, Blogging |
| @ChiniGives | 1,016,764 | Crypto Community Manager | crypto, NFT, community |
| @FurionCrypto | 902,839 | Cryptocurrency Trader | Cryptocurrency, Blockchain, Technology |
| @ZachBoychuk | 819,100 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @khloe | 801,176 | Model | Travel, Model, Host |
| @NoraEstia | 789,478 | Crypto Influencer | Crypto, Giveaways, NFT |
| @GinoAssereto | 689,470 | Marketing Strategy Advisor | Crypto, Marketing, NFT |
| @Missy__Crypto | 553,284 | Crypto Marketer | Brand awareness, engagement, credibility |
| @audreypromos | 551,020 | Crypto Promoter | Crypto, Promoter, Community |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,632
Followers With Bio
12,120
Followers Without Bio
77.45%
% With Bio
22.55%
% 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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Based on 611 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
58.6%
Verified Accounts
46.2%
High Authority (>50K)
100.0%
Dormant Accounts
6.7%
Low Quality
35,489
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
78.6%
Individuals
480 accounts
12.1%
Brands/Orgs
74 accounts
9.3%
Media/News
57 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,056,835 | Entrepreneur | Space, Technology, Innovation |
| @realDonaldTrump Donald J. Trump | 87,260,378 | - | - |
| @X X | 66,571,426 | Social Media Manager | - |
| @MrBeast MrBeast | 23,508,100 | YouTuber | Philanthropy, YouTube, Charity |
| @StephenCurry30 Stephen Curry | 17,472,913 | - | - |
| @joerogan Joe Rogan | 11,688,283 | Comedian | Stand up comedy, MMA, psychedelics |
| @binance Binance | 10,756,334 | Cryptocurrency Exchange | Cryptocurrency, Blockchain, Digital Assets |
| @mcuban Mark Cuban | 8,809,780 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @cz_binance CZ 🔶 Binance | 8,607,004 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @Cobratate Andrew Tate | 7,798,784 | Kickboxer | - |
Key Insights & Takeaways
The account may focus on providing market analysis and project updates. They might engage with the community through discussions and Q&A sessions. Their content could be tailored to both seasoned investors and new crypto enthusiasts.
Strengths
- + Established follower base of 49,155
- + 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 @hodlcryptoguys reveals an growing Twitter presence with 49,155 followers. The account demonstrates a content-creator strategy, averaging 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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