Miles Deutscher
Crypto analyst and DeFi addict. Busy finding the next 100x. Tweets aren’t financial advice.
381,301
Followers
1,406
Following
13,504
Tweets
7,094
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @milesdeutscher'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:2013-06-19
- Verification:No
- Location:Not specified
Data Summary
- Followers Analyzed:50,000
- Following Analyzed:1,320
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Audience Demographics
Based on 50,000 followersHis audience primarily consists of crypto enthusiasts and investors interested in DeFi projects. They are likely looking for market analysis and potential investment opportunities.
Good
Audience Quality
19.8%
Suspicion Index
29.6%
Low-Quality %
40
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
40.7%
Empty Bio
26.3%
<10 Tweets
7.6%
Mass Following (>2K)
0.0%
New (<90 days)
33.1%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.7%
No URL
18.5%
<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.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
46,888,979
Total Potential Reach
40
Median Follower Reach
145
75th Percentile Reach
6.3%
>1K followers
1.2%
>10K followers
0.3%
>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).
50.4%
Creators
25,188 accounts
23.4%
Consumers
11,676 accounts
26.3%
Dormant
13,136 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):
15,324
Verified Followers
4.3% of total
19,213
Protected Accounts
5.4% of total
5 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 | 14,155,037 | Wrestler | Wrestling, Motivation, Self-promotion |
| @ABdeVilliers17 | 9,624,783 | Cricketer | Cricket, South Africa, Professional |
| @cz_binance | 8,607,909 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @Crunchyroll | 8,337,848 | Anime streaming | anime, Japan, latest & greatest |
| @CryptoXMessi | 4,363,743 | TV Host | Crypto, Altcoin, NFT |
| @okx | 3,498,819 | Cryptocurrency Exchange | Bitcoin, Crypto, Exchange |
| @justinsuntron | 3,464,888 | Entrepreneur | Cryptocurrency, Blockchain, Technology |
| @MarcusButler | 2,748,158 | Entrepreneur | Fashion, Podcasting, YouTube |
| @TheWignus | 2,504,174 | - | - |
| @SirKunt | 2,289,010 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
215,211
Followers With Bio
140,908
Followers Without Bio
60.43%
% With Bio
39.57%
% 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 1,320 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
64.5%
Verified Accounts
48.4%
High Authority (>50K)
100.0%
Dormant Accounts
3.2%
Low Quality
46,142
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
80.5%
Individuals
1,062 accounts
9.0%
Brands/Orgs
119 accounts
10.5%
Media/News
139 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,990,965 | Entrepreneur | Space, Technology, Innovation |
| @justinbieber Justin Bieber | 111,758,709 | Singer | Music, Justice, Album |
| @Cristiano Cristiano Ronaldo | 109,465,970 | Athlete | Football, Fitness, Fashion |
| @X X | 66,566,691 | Social Media Manager | - |
| @BillGates Bill Gates | 63,550,640 | Philanthropist | Philanthropy, Learning, Technology |
| @Drake Drizzy | 39,337,049 | Rapper | music, Toronto, Raptors |
| @MrBeast MrBeast | 23,490,676 | YouTuber | Philanthropy, YouTube, Charity |
| @Eminem Marshall Mathers | 22,198,737 | Rapper | rap, music, Detroit |
| @netflix Netflix | 22,098,277 | Entertainment | Cardi B, Netflix, Petition |
| @rickygervais Ricky Gervais | 15,059,588 | Comedian | Comedy, Writing, Acting |
Key Insights & Takeaways
He frequently highlights promising DeFi projects and tokens. He emphasizes the potential for high returns (100x) in his content. His tweets are often educational and focused on market trends.
Strengths
- + Established follower base of 381,301
- + 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 @milesdeutscher reveals an growing Twitter presence with 381,301 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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