HOLDMEDOWNLIKEGRAVITY ~ 🛡️
call myself a vessel not a name @join
99,152
Followers
775
Following
116
Tweets
123.0
Avg Engagement
56
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @DSTNYgroup'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:2020-12-22
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:313
- Avg Likes per Tweet:6.2
- Avg Retweets per Tweet:116.8
- Followers Analyzed:9,998
- Following Analyzed:776
Engagement Analysis
Based on 313 tweetsOn average, tweets receive around 108 likes and 2 retweets, indicating a moderate level of interaction. The engagement is likely driven by the relevance and controversy of the topics discussed.
6.2
Avg Likes/Tweet
116.8
Avg Retweets/Tweet
1,934
Total Likes
36,556
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
10
75th Percentile
15,422
Top Tweet
1.24
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
0.6%
Original
78.0%
Replies
19.2%
Retweets
2.2%
Quotes
0.0%
Threads
0.0%
With Media
26.5%
With Links
0.3%
With #Tags
97.8%
With @Mentions
4.8%
With Emojis
130
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
122.0
Reply/Original Ratio
0.12
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
78.9%
Weekday Posts
21.1%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 313 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
The 60 retweets (19% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 313 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 9,998 followersThe audience likely includes individuals interested in finance, politics, and innovation, possibly investors, policymakers, and industry professionals. They may also be followers of prominent figures mentioned in the tweets.
Average
Audience Quality
20.7%
Suspicion Index
21.8%
Low-Quality %
32
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.1%
Empty Bio
30.3%
<10 Tweets
9.8%
Mass Following (>2K)
0.0%
New (<90 days)
40.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.5%
No URL
19.5%
<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.
15,586,441
Total Potential Reach
32
Median Follower Reach
144
75th Percentile Reach
7.2%
>1K followers
1.7%
>10K followers
0.5%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
48.4%
Creators
4,841 accounts
21.3%
Consumers
2,132 accounts
30.3%
Dormant
3,025 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):
262
Verified Followers
2.62% of total
1,882
Protected Accounts
18.82% 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 |
|---|---|---|---|
| @Banks | 2,801,049 | Gamer | gaming, internet, music |
| @TheArtidote | 807,629 | Art Therapist | art, storytelling, mental health |
| @Jason | 726,363 | Investor | startups, investing, podcasting |
| @FashionweekNYC | 574,324 | Fashion Blogger | Fashion, Culture, Runways |
| @pranksy | 439,847 | NFT Collector | NFTs, OG, Collector |
| @Fwiz | 427,980 | Gaming Influencer | Gaming, YouTube, Ethereum |
| @ShaanVP | 364,629 | Entrepreneur | founder, investor, podcasting |
| @gmoneyNFT | 302,405 | Podcaster | NFTs, Futurism, Disruption |
| @loomdart | 289,862 | Crypto Trader | egirls, NFTs, Yats |
| @DeeZe | 251,228 | Crypto Artist | lindy walk, twitter space, vibes |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
7,591
Followers With Bio
2,409
Followers Without Bio
75.91%
% With Bio
24.09%
% 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 $15Viral Tweets
Top 5 by likes+RTs from 313 analyzed29,368
Combined Engagement
0
Total Likes
29,368
Total Retweets
5,874
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @jdosmith: Absolutely adore this 'Second Best' idea for parents from IKEA https://t.co/gWd6Ws9hcm
RT @parafactual: ok so: - elon forced a bluecheck on dril - dril keeps changing his display name to evade the bluecheck - it keeps getting put back the question is whether elon eventually adds a special rule to dril's account, such that it never loses its check. then dril impers
RT @MetaLawMan: 1/ BREAKING: The U.S. Chamber of Commerce has just filed a brief in the @Coinbase v. SEC case, calling out the SEC for acting "unlawfully" in the digital asset space. This is The U.S. Chamber of Commerce--not the Chamber of Digital Commerce. This is a Big Deal.
RT @VitalikButerin: Don't overload Ethereum's consensus: https://t.co/07tzyCrZcJ
RT @coinbase: This week, DC will see a new TV campaign that explains how crypto moves America forward and why it’s the most important technology we have to create more economic freedom. It’s time to update the system. Crypto can help. Learn more at https://t.co/6Hf1DAqeIV http
Network & Following Analysis
Based on 776 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
63.3%
Verified Accounts
35.2%
High Authority (>50K)
100.0%
Dormant Accounts
4.1%
Low Quality
22,919
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
84.8%
Individuals
658 accounts
9.8%
Brands/Orgs
76 accounts
5.4%
Media/News
42 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 155,069,375 | Entrepreneur | Space, Technology, Innovation |
| @kanyewest ye | 31,750,556 | - | - |
| @tim_cook Tim Cook | 14,232,228 | CEO | Apple, Auburn, Duke |
| @Sethrogen Seth Rogen | 9,151,555 | Actor | Movies, Comedy, Cannabis |
| @mcuban Mark Cuban | 8,809,772 | Entrepreneur | NFTs, Entrepreneurship, Investing |
| @cz_binance CZ 🔶 Binance | 8,607,259 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @steveaoki Steve Aoki | 8,048,094 | DJ | Music, DJing, Collaboration |
| @jack jack | 6,513,553 | Cryptocurrency Trader | bitcoin, chill, #nostr |
| @JeffBezos Jeff Bezos | 6,302,911 | Entrepreneur | Amazon, Blue Origin, Washington Post |
| @coinbase Coinbase 🛡️ | 5,866,300 | Cryptocurrency Exchange | crypto, buying, selling |
Key Insights & Takeaways
The account frequently engages with high-profile figures such as Sam Altman and political leaders, suggesting a focus on influential voices in the industry. They emphasize the impact of regulatory actions on innovation, indicating a concern for the financial sector's growth. The use of verified accounts and targeted mentions suggests a strategic approach to influence and awareness.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 99,152
- + High community engagement through conversations
- + 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 @DSTNYgroup reveals an well-established Twitter presence with 99,152 followers. The account demonstrates a conversation-first approach, averaging 123.0 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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