Hai Giang
🌈 Justine Brennan stan account 🌴 gay and untalented
19,917
Followers
597
Following
4,536
Tweets
337.0
Avg Engagement
93
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @giangyhai'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:2021-06-11
- Verification:No
- Location:New Orleans, LA
Data Summary
- Tweets Analyzed:597
- Avg Likes per Tweet:269.9
- Avg Retweets per Tweet:67.1
- Followers Analyzed:18,885
Engagement Analysis
Based on 597 tweetsThe account has a steady average engagement rate, with tweets receiving around 1,800 likes and 65 retweets on average. This suggests a loyal and active follower base that interacts with the content regularly.
269.9
Avg Likes/Tweet
67.1
Avg Retweets/Tweet
161,121
Total Likes
40,070
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
43
Median Likes
0
Median Retweets
143
75th Percentile
18,671
Top Tweet
16.92
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
37.0%
Original
56.1%
Replies
3.2%
Retweets
3.7%
Quotes
0.0%
Threads
0.5%
With Media
22.1%
With Links
7.5%
With #Tags
58.5%
With @Mentions
17.4%
With Emojis
81
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.52
Reply/Original Ratio
1.16
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
83.2%
Weekday Posts
16.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 597 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 19 retweets (3% 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 597 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 18,885 followersThe audience likely includes LGBTQ+ individuals and fans of Justine Brennan, with an interest in humor and pop culture. They may also be drawn to the casual, self-deprecating tone of the account.
Good
Audience Quality
16.0%
Suspicion Index
17.3%
Low-Quality %
111
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
28.1%
Empty Bio
10.3%
<10 Tweets
13.0%
Mass Following (>2K)
0.0%
New (<90 days)
35.5%
Low Ratio (<0.1)
0.0%
New (<180 days)
83.8%
No URL
6.6%
<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.
23,460,637
Total Potential Reach
111
Median Follower Reach
328
75th Percentile Reach
8.5%
>1K followers
1.4%
>10K followers
0.3%
>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).
77.1%
Creators
14,556 accounts
12.6%
Consumers
2,384 accounts
10.3%
Dormant
1,945 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):
220
Verified Followers
1.16% of total
3,234
Protected Accounts
17.12% of total
8 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 |
|---|---|---|---|
| @PopCrave | 1,363,355 | Entertainment | Music, Entertainment, Celebrities |
| @mmpadellan | 1,218,312 | Political Commentator | #BlueWave2022, #Feminist, #TheResistance |
| @ZachBoychuk | 830,517 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @NOH8Campaign | 802,077 | Activism | equality, bullying, discrimination |
| @iownjd | 779,531 | Lawyer | learn, inspire, engage |
| @survivorcbs | 615,058 | TV Show | Reality TV, Competition, Adventure |
| @OccupyDemocrats | 537,045 | Political Activist | Progressive, Grassroots, Politics |
| @tyleriacona | 349,744 | Influencer | travel, photography, adventure |
| @EvanKirstel | 343,670 | Tech Influencer | Tech, B2B, Social media |
| @Timodc | 333,337 | Political Analyst | Politics, Writing, Basketball |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
13,582
Followers With Bio
5,303
Followers Without Bio
71.92%
% With Bio
28.08%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 597 analyzed75,220
Combined Engagement
37,646
Total Likes
37,574
Total Retweets
15,044
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
0%
With Links
Topical Analysis:
RT @lunaluvvy: mr beast buys 1000 black women beyonce tickets
RT @albert12798: why do baby clothes have pockets when they have no money or goals
@PopBase I don’t know who Arrest is but I hope he’s heavy!!
@PopCrave It’s giving “newly divorced singles looking for fun in your area”
@PopCrave @ABC I stand with the hotel
Key Insights & Takeaways
The account uses humor and personal anecdotes to connect with its audience. It frequently references pop culture, particularly Survivor and LGBTQ+ topics. The user has a strong personal brand as a Justine Brennan stan and self-identifies as gay and untalented.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 19,917
- + 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 @giangyhai reveals an well-established Twitter presence with 19,917 followers. The account demonstrates a conversation-first approach, averaging 337.0 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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