Rich kids of solana
🦀 dev at @solana \/ Co-founder https://t.co/L8EOgCQGzy and @vrnouns https://t.co/t6IuGieVKe
39,279
Followers
5,983
Following
28,851
Tweets
315
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @yasinaktimur'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:2012-06-29
- Verification:No
- Location:Cambridge, England
Data Summary
- Followers Analyzed:39,606
- Following Analyzed:5,774
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Audience Demographics
Based on 39,606 followersHis audience likely includes blockchain enthusiasts, developers, and investors interested in Web3 projects. The audience may also be interested in Solana and NFT-related innovations.
Average
Audience Quality
21.0%
Suspicion Index
26.8%
Low-Quality %
43
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
47.8%
Empty Bio
11.3%
<10 Tweets
10.5%
Mass Following (>2K)
0.0%
New (<90 days)
51.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
89.9%
No URL
5.8%
<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.
63,448,392
Total Potential Reach
43
Median Follower Reach
163
75th Percentile Reach
7.5%
>1K followers
1.5%
>10K followers
0.5%
>50K followers
0.2%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
67.7%
Creators
26,828 accounts
21.0%
Consumers
8,320 accounts
11.3%
Dormant
4,458 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):
1,182
Verified Followers
2.98% of total
5,293
Protected Accounts
13.36% of total
6 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 |
|---|---|---|---|
| @WhaleCartel | 2,680,786 | - | - |
| @OdunHerif | 2,642,221 | Comedian | Comedy, Entertainment, Lifestyle |
| @BeatsByAssassin | 2,236,666 | Multitalented | Actor, Director, Rapper |
| @6BillionPeople | 2,006,675 | - | - |
| @allyier | 1,785,006 | - | - |
| @HuobiGlobal | 1,506,939 | - | - |
| @BrianDEvans | 1,378,352 | Entrepreneur | NFTs, Crypto, Digital Marketing |
| @TheCryptoKidsX | 973,554 | Adult Entertainment | Adult content, Spanish, Casting |
| @eness_turann | 862,614 | - | - |
| @Selcoin | 739,407 | Author | Bitcoin, Altın, Kitap Yazarlığı |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
20,679
Followers With Bio
18,927
Followers Without Bio
52.21%
% With Bio
47.79%
% 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 5,774 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
47.1%
Verified Accounts
31.2%
High Authority (>50K)
100.0%
Dormant Accounts
4.7%
Low Quality
12,585
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
83.2%
Individuals
4,802 accounts
9.9%
Brands/Orgs
569 accounts
7.0%
Media/News
403 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,053,738 | Entrepreneur | Space, Technology, Innovation |
| @BarackObama Barack Obama | 131,946,515 | Politician | Family, Leadership, Citizenship |
| @justinbieber Justin Bieber | 111,757,250 | Singer | Music, Justice, Album |
| @Cristiano Cristiano Ronaldo | 109,472,916 | Athlete | Football, Fitness, Fashion |
| @rihanna Rihanna | 108,294,503 | Singer | music, fashion, beauty |
| @katyperry KATY PERRY | 107,198,010 | Singer | Love, Light, Music |
| @taylorswift13 Taylor Swift | 94,262,902 | Singer | Music, Happiness, Emotions |
| @narendramodi Narendra Modi | 91,386,934 | Politician | Politics, Leadership, Development |
| @realDonaldTrump Donald J. Trump | 87,261,182 | - | - |
| @NASA NASA | 76,256,067 | Space Research | Space, Exploration, Science |
Key Insights & Takeaways
He is likely focused on building and promoting blockchain-based projects. His low engagement may indicate a more professional or niche audience. He may be targeting developers and investors in the Web3 space.
Strengths
- + Established follower base of 39,279
- + 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 @yasinaktimur reveals an growing Twitter presence with 39,279 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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