Dyma Budorin 🇺🇦
Co-Founder & CEO @hackenclub Zero tolerance to scam. Web3 transparency & accountability maxi. Ukraine's prosperity is a key mission #CCSSA #ACCA
20,799
Followers
415
Following
2,530
Tweets
187.4
Avg Engagement
132
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @buda_kyiv'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:2016-08-07
- Verification:No
- Location:Lisbon, Portugal
Data Summary
- Tweets Analyzed:2,272
- Avg Likes per Tweet:29.5
- Avg Retweets per Tweet:157.9
- Followers Analyzed:16,015
- Following Analyzed:406
Engagement Analysis
Based on 2,272 tweetsTheir tweets receive moderate engagement, with an average of 502 likes and 192 retweets. The content often includes links and collaborations, which may contribute to higher engagement.
29.5
Avg Likes/Tweet
157.9
Avg Retweets/Tweet
67,041
Total Likes
358,639
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
6
Median Retweets
75
75th Percentile
53,653
Top Tweet
9.01
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
23.5%
Original
37.5%
Replies
21.9%
Retweets
17.0%
Quotes
0.0%
Threads
0.0%
With Media
55.7%
With Links
22.8%
With #Tags
72.4%
With @Mentions
9.9%
With Emojis
162
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.59
Reply/Original Ratio
0.78
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.6%
Weekday Posts
18.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,272 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 498 retweets (22% 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 2,272 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 16,015 followersBuda_kyiv's audience is primarily interested in Web3 technologies, blockchain, and Ukraine-related issues. They are likely tech-savvy individuals and investors looking for transparency and accountability.
Good
Audience Quality
19.6%
Suspicion Index
16.8%
Low-Quality %
115
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.5%
Empty Bio
9.4%
<10 Tweets
25.0%
Mass Following (>2K)
0.0%
New (<90 days)
39.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
77.5%
No URL
5.1%
<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.
83,102,584
Total Potential Reach
115
Median Follower Reach
473
75th Percentile Reach
15.5%
>1K followers
3.4%
>10K followers
1.1%
>50K followers
0.7%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
72.3%
Creators
11,580 accounts
18.3%
Consumers
2,935 accounts
9.4%
Dormant
1,500 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):
103
Verified Followers
0.64% of total
793
Protected Accounts
4.95% 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 |
|---|---|---|---|
| @JohnCena | 14,106,652 | Wrestler | Wrestling, Motivation, Self-promotion |
| @cz_binance | 8,348,913 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @verified | 4,201,334 | - | - |
| @justinsuntron | 3,448,907 | Entrepreneur | Cryptocurrency, Blockchain, Technology |
| @6BillionPeople | 2,038,811 | - | - |
| @gate_io | 1,662,365 | - | - |
| @TheCryptoLark | 1,102,022 | - | - |
| @Karijelinek | 1,004,041 | Modelo | Modelo, Actriz, Influencers |
| @belufrancese | 1,003,486 | Influencer | NFTs, Crypto, Bitcoin |
| @MattWallace888 | 952,349 | YouTuber | Crypto, Dogecoin, YouTube |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
11,441
Followers With Bio
4,574
Followers Without Bio
71.44%
% With Bio
28.56%
% 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 2,272 analyzed159,287
Combined Engagement
0
Total Likes
159,287
Total Retweets
31,857
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
20%
With Links
Topical Analysis:
RT @LUFC: WE ARE BACK!!! @PremierLeague
RT @ZelenskyyUa: Mariupol. Direct strike of Russian troops at the maternity hospital. People, children are under the wreckage. Atrocity! How much longer will the world be an accomplice ignoring terror? Close the sky right now! Stop the killings! You have power but you seem to be
RT @YourAnonOne: The #Anonymous collective has leaked the database of the Russian Ministry of Defense website. #Ukraine
RT @StephenKing: The Ukrainians are kicking some ass today. SLAVA UKRAINI!
RT @lewy_official: It is the right decision! I can’t imagine playing a match with the Russian National Team in a situation when armed aggression in Ukraine continues. Russian footballers and fans are not responsible for this, but we can’t pretend that nothing is happening. http
Network & Following Analysis
Based on 406 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
52.2%
Verified Accounts
39.4%
High Authority (>50K)
100.0%
Dormant Accounts
2.0%
Low Quality
21,735
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
81.8%
Individuals
332 accounts
10.3%
Brands/Orgs
42 accounts
7.9%
Media/News
32 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @FabrizioRomano Fabrizio Romano | 18,545,121 | Journalist | Football, Transfers, News |
| @Ibra_official Zlatan Ibrahimović | 9,338,967 | Footballer | football, fashion, lion |
| @cz_binance CZ 🔶 Binance | 8,607,871 | Cryptocurrency Trader | Crypto, Binance, Bitcoin |
| @acmilan AC Milan | 8,547,866 | Football Club | - |
| @LewisHamilton Lewis Hamilton | 8,143,583 | Racing Driver | Veganism, Animals, Adventure |
| @ZelenskyyUa Володимир Зеленський | 7,382,686 | President | politics, leadership, Ukraine |
| @StephenKing Stephen King | 7,143,415 | Author | Horror, Writing, Books |
| @CoinMarketCap CoinMarketCap | 5,990,947 | Crypto Tracker | Cryptocurrency, Revolution, Education |
| @Snowden Edward Snowden | 5,752,887 | Whistleblower | government, public, freedom of press |
| @GretaThunberg Greta Thunberg | 5,711,681 | Activist | Climate activism, Environmentalism, Asperger's |
Key Insights & Takeaways
Buda_kyiv is actively promoting Ukraine's prosperity and Web3 transparency. They collaborate with platforms like Gate.io and emphasize quality and innovation. Their content often includes links and is focused on community and accountability.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 20,799
- + 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 @buda_kyiv reveals an well-established Twitter presence with 20,799 followers. The account demonstrates a conversation-first approach, averaging 187.4 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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