Tobi.op ❄️
Minimalist @k300ventures @k300portal @TCVNcommunity #Superchain vision 👽
14,734
Followers
1,858
Following
4,331
Tweets
175
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @tobi_k300'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:2020-07-25
- Verification:No
- Location:Vietnam
Data Summary
- Followers Analyzed:13,166
- Following Analyzed:1,752
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Audience Demographics
Based on 13,166 followersTheir audience likely includes tech enthusiasts, entrepreneurs, and community members interested in blockchain and innovation. They may also attract followers from the minimalist lifestyle and venture capital spaces.
Good
Audience Quality
19.0%
Suspicion Index
25.4%
Low-Quality %
48
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.4%
Empty Bio
16.4%
<10 Tweets
9.0%
Mass Following (>2K)
0.0%
New (<90 days)
39.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
86.9%
No URL
9.4%
<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.
9,414,319
Total Potential Reach
48
Median Follower Reach
205
75th Percentile Reach
6.6%
>1K followers
0.8%
>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).
55.7%
Creators
7,331 accounts
27.9%
Consumers
3,673 accounts
16.4%
Dormant
2,162 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):
388
Verified Followers
2.95% of total
503
Protected Accounts
3.82% 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 |
|---|---|---|---|
| @ZachBoychuk | 819,081 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @RaminNasibov | 743,112 | Designer | Design, Art, Opensea |
| @Lolisieucute | 588,600 | Entertainer | K-pop, Fashion, Beauty |
| @idclrWorldPeace | 260,999 | Activist | Global peace, Power of intention, Art project |
| @BasindaBTK | 242,645 | - | - |
| @AlertTrade | 238,866 | Trading | Trade Alerts, Trade Ideas, Crypto |
| @ShitCoinBscGem | 215,304 | - | - |
| @GetMoneyGamin | 156,559 | - | - |
| @OldMannCrypto | 132,346 | Survivalist | Survival, Tips, Promotion |
| @Wateenswap | 117,240 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,715
Followers With Bio
5,451
Followers Without Bio
58.6%
% With Bio
41.4%
% 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 1,752 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
71.9%
Verified Accounts
49.4%
High Authority (>50K)
100.0%
Dormant Accounts
1.7%
Low Quality
48,947
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
82.7%
Individuals
1,449 accounts
10.6%
Brands/Orgs
186 accounts
6.7%
Media/News
117 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,074,195 | Entrepreneur | Space, Technology, Innovation |
| @justinbieber Justin Bieber | 111,755,304 | Singer | Music, Justice, Album |
| @Cristiano Cristiano Ronaldo | 109,474,610 | Athlete | Football, Fitness, Fashion |
| @realDonaldTrump Donald J. Trump | 87,261,934 | - | - |
| @X X | 66,572,830 | Social Media Manager | - |
| @BillGates Bill Gates | 63,556,017 | Philanthropist | Philanthropy, Learning, Technology |
| @jimmyfallon Jimmy Fallon | 50,264,961 | Comedian | Comedy, TV, Music |
| @Drake Drizzy | 39,336,741 | Rapper | music, Toronto, Raptors |
| @SpaceX SpaceX | 31,286,060 | Aerospace Engineer | Space, Rockets, Innovation |
| @WhiteHouse45 The White House 45 Archived | 24,518,687 | Government Official | Politics, Government, History |
Key Insights & Takeaways
The account is likely focused on promoting a vision related to blockchain and community building. They use multiple handles and hashtags to expand their reach and visibility. There is potential for growth in engagement through more interactive content.
Strengths
- + Established follower base of 14,734
- + 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 @tobi_k300 reveals an growing Twitter presence with 14,734 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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