Cryptobaddie
she/her|| full time profitable degen trader|| former amb: @aptos_network || I give visiblity to ur web3 projects || NFA|| Badminton
64,091
Followers
1,672
Following
55,858
Tweets
215
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @cryptobaddie1'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:2021-07-24
- Verification:No
- Location:Dubai, United Arab Emirates
Data Summary
- Followers Analyzed:50,000
- Following Analyzed:1,681
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Audience Demographics
Based on 50,000 followersHer audience likely includes crypto traders, Web3 enthusiasts, and project founders seeking visibility. She may also attract badminton fans due to her mention of the sport.
Good
Audience Quality
16.4%
Suspicion Index
12.8%
Low-Quality %
73
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
22.0%
Empty Bio
7.9%
<10 Tweets
16.4%
Mass Following (>2K)
0.0%
New (<90 days)
40.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.2%
No URL
3.6%
<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.
44,142,934
Total Potential Reach
73
Median Follower Reach
229
75th Percentile Reach
7.0%
>1K followers
0.9%
>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).
72.6%
Creators
36,293 accounts
19.5%
Consumers
9,757 accounts
7.9%
Dormant
3,950 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):
1,351
Verified Followers
2.58% of total
951
Protected Accounts
1.82% 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 |
|---|---|---|---|
| @CryptoXMessi | 4,363,748 | TV Host | Crypto, Altcoin, NFT |
| @ScottGShore | 1,410,771 | Reality TV Star | Reality TV, Techno music, MTV |
| @TheCryptoKidsX | 973,720 | Adult Entertainment | Adult content, Spanish, Casting |
| @LukaEvans_ | 923,059 | Meme Creator | Memes |
| @LeBronJames | 922,575 | - | - |
| @ZachBoychuk | 819,196 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NoraEstia | 789,377 | Crypto Influencer | Crypto, Giveaways, NFT |
| @Eljaboom | 645,959 | Entrepreneur | Crypto, Guinness World Record, Entrepreneur |
| @MTN180 | 569,382 | Customer Support | Customer service, Support, Listening |
| @ibcig | 561,878 | Investor | Crypto, Gaming, Investing |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
41,055
Followers With Bio
11,315
Followers Without Bio
78.39%
% With Bio
21.61%
% 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 1,681 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
51.4%
Verified Accounts
38.8%
High Authority (>50K)
100.0%
Dormant Accounts
2.1%
Low Quality
24,123
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
77.8%
Individuals
1,308 accounts
13.2%
Brands/Orgs
222 accounts
9.0%
Media/News
151 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,997,037 | Entrepreneur | Space, Technology, Innovation |
| @rihanna Rihanna | 108,292,298 | Singer | music, fashion, beauty |
| @KimKardashian Kim Kardashian | 75,119,256 | Entrepreneur | Fragrance, Skims, Beauty |
| @selenagomez Selena Gomez | 66,692,632 | Singer | Music, Acting, Fashion |
| @X X | 66,567,042 | Social Media Manager | - |
| @JoeBiden Joe Biden | 37,392,815 | Politician | Family, Leadership, America |
| @KevinHart4real Kevin Hart | 37,010,803 | Comedian | Comedy, Fitness, Family |
| @POTUS President Biden | 32,189,241 | - | - |
| @kanyewest ye | 31,751,013 | - | - |
| @iamcardib Cardi B | 31,655,023 | Rapper | Music, Fashion, Entertainment |
Key Insights & Takeaways
She is a profitable trader with a strong focus on DeFi and Web3 projects. She leverages her platform to provide visibility to emerging Web3 initiatives. Her low engagement suggests a need for more interactive content or community building.
Strengths
- + Established follower base of 64,091
- + 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 @cryptobaddie1 reveals an growing Twitter presence with 64,091 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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