Bolivian
crypto maximalist and corporate degen || @thecapitol - @felinefiendz
23,371
Followers
2,726
Following
15,347
Tweets
38
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @_bolivian'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:2022-03-14
- Verification:No
- Location:Not specified
Data Summary
- Followers Analyzed:23,195
- Following Analyzed:2,679
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Audience Demographics
Based on 23,195 followersThe audience likely includes crypto enthusiasts and individuals interested in decentralized finance. The account's focus on corporate degen suggests it appeals to those critical of traditional financial systems.
Average
Audience Quality
20.3%
Suspicion Index
6.1%
Low-Quality %
218
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
11.2%
Empty Bio
2.2%
<10 Tweets
45.5%
Mass Following (>2K)
0.0%
New (<90 days)
37.3%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.6%
No URL
1.1%
<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.
67,308,809
Total Potential Reach
218
Median Follower Reach
933
75th Percentile Reach
23.8%
>1K followers
3.7%
>10K followers
0.9%
>50K followers
0.4%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
90.7%
Creators
21,030 accounts
7.1%
Consumers
1,653 accounts
2.2%
Dormant
512 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):
1,879
Verified Followers
8.1% of total
347
Protected Accounts
1.5% 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 |
|---|---|---|---|
| @CryptoXMessi | 4,363,675 | TV Host | Crypto, Altcoin, NFT |
| @allyier | 1,785,007 | - | - |
| @SethGreen | 1,380,165 | Actor | Movies, Comedy, Philanthropy |
| @ANATII | 1,161,994 | Musician | Music, Fashion, Culture |
| @MarioNawfal | 914,514 | - | - |
| @Mrbankstips | 820,961 | Crypto Betting | Crypto, Betting, NFTs |
| @ZachBoychuk | 819,116 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @JayGardner | 787,067 | Reality TV Star | - |
| @KendrickPerkins | 696,541 | Basketball Player | Basketball, Country, Individualism |
| @JungaCrypto | 646,272 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,608
Followers With Bio
2,587
Followers Without Bio
88.85%
% With Bio
11.15%
% 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 Tweets - from $15Network & Following Analysis
Based on 2,679 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
48.5%
Verified Accounts
15.2%
High Authority (>50K)
100.0%
Dormant Accounts
4.3%
Low Quality
5,860
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
86.2%
Individuals
2,310 accounts
7.3%
Brands/Orgs
196 accounts
6.5%
Media/News
173 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,052,542 | Entrepreneur | Space, Technology, Innovation |
| @realDonaldTrump Donald J. Trump | 87,261,089 | - | - |
| @ManUtd Manchester United | 36,776,815 | Sports Team | Football, Manchester, United |
| @SHAQ SHAQ | 15,818,926 | Athlete | Basketball, Quotes, Random Acts |
| @JohnCena John Cena | 14,157,252 | Wrestler | Wrestling, Motivation, Self-promotion |
| @mcuban Mark Cuban | 8,809,854 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @cz_binance CZ 🔶 Binance | 8,607,035 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @Windows Windows | 8,330,057 | Technology | technology, innovation, connection |
| @Cobratate Andrew Tate | 7,798,574 | Kickboxer | - |
| @ZelenskyyUa Володимир Зеленський | 7,382,559 | President | politics, leadership, Ukraine |
Key Insights & Takeaways
The account is likely focused on promoting crypto and decentralized finance concepts. It may be part of a larger network or community with associated handles like @thecapitol and @felinefiendz. The lack of engagement metrics could suggest a private or low-interaction audience.
Strengths
- + Established follower base of 23,371
- + 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 @_bolivian reveals an growing Twitter presence with 23,371 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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