Hanabi Crypto ☀️
Posts, RTs & Likes are paid ads and not financial advice. Do your Own Research #IWonHanabi 3 X MAYC
515,403
Followers
1,010
Following
68,320
Tweets
1,615.5
Avg Engagement
4,685
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @GiveAwayHost'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: Macro Influencer (100K+)
- Account Age:2019-11-29
- Verification:Yes
- Location:Check rules 👉
Data Summary
- Tweets Analyzed:596
- Avg Likes per Tweet:246.4
- Avg Retweets per Tweet:1,369.1
- Followers Analyzed:50,000
Engagement Analysis
Based on 596 tweetsThe account has a strong engagement rate, with high average likes and retweets. It leverages follower interactions to promote giveaways and collaborations.
246.4
Avg Likes/Tweet
1,369.1
Avg Retweets/Tweet
146,838
Total Likes
815,991
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
87
Median Likes
29
Median Retweets
603
75th Percentile
27,250
Top Tweet
3.13
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
43.0%
Original
25.3%
Replies
24.8%
Retweets
6.9%
Quotes
0.0%
Threads
0.0%
With Media
28.5%
With Links
7.0%
With #Tags
56.5%
With @Mentions
64.6%
With Emojis
74
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.59
Reply/Original Ratio
0.28
Quote/RT Ratio
Posting Rhythm
Consistent
Regular posting cadence
76.3%
Weekday Posts
23.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 596 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 148 retweets (25% 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 596 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 50,000 followersThe audience is likely interested in crypto, NFTs, and online giveaways. They are active on social media and engage with content that offers rewards or incentives.
Good
Audience Quality
19.1%
Suspicion Index
18.8%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.6%
Empty Bio
14.1%
<10 Tweets
11.2%
Mass Following (>2K)
0.0%
New (<90 days)
48.9%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.6%
No URL
9.1%
<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.
44,564,504
Total Potential Reach
42
Median Follower Reach
119
75th Percentile Reach
4.1%
>1K followers
0.7%
>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).
68.4%
Creators
34,182 accounts
17.6%
Consumers
8,776 accounts
14.1%
Dormant
7,042 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):
861
Verified Followers
0.85% of total
3,837
Protected Accounts
3.8% of total
2 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 |
|---|---|---|---|
| @CryptoWeb3_NFT | 4,362,970 | - | - |
| @SirKunt | 2,254,556 | - | - |
| @CiervoKing | 1,326,553 | Crypto Promoter | Crypto, Promoter, Golduck |
| @TheToriant | 1,263,747 | - | - |
| @SummieETH | 1,126,357 | - | - |
| @GevCrypto | 1,076,879 | Crypto Influencer | Crypto, NFTs, Web3 |
| @NuBraveIN | 1,072,509 | Crypto Influencer | Crypto, NFTs, Soodam |
| @Mateopromo92 | 1,067,255 | - | - |
| @ChiniGives | 1,013,648 | Crypto Community Manager | crypto, NFT, community |
| @LeBronJames | 1,006,040 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
68,946
Followers With Bio
32,045
Followers Without Bio
68.27%
% With Bio
31.73%
% 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 596 analyzed124,557
Combined Engagement
16,282
Total Likes
108,275
Total Retweets
24,911
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
$300 in 72 hours 🦥🐒🐹 -RT + follow @tonymontanaATH
RT @GiveAwayHost: $400 in 7 days 🦋🌴🌷 -RT + Follow @moneymotive888
$300 in 3 days 🦋🌱🥀 -RT + Follow @gandalfcryptto
$300 in 3 days 🦁🐮🦄 -Rt + follow @CjournalNews
RT @GiveAwayHost: $300 in 72 hours 🦥🐒🐹 -RT + follow @tonymontanaATH
Key Insights & Takeaways
The account frequently promotes giveaways with specific timeframes and rewards, which likely drive engagement. It collaborates with other accounts to expand its reach and audience. The use of emojis and hashtags helps to make tweets more visually appealing and shareable.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 515,403
- + 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 @GiveAwayHost reveals an exceptionally influential Twitter presence with 515,403 followers. The account demonstrates a content-creator strategy, averaging 1,615.5 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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