Justin Wu
Building Web3 Communities @DCENTRALCon ex-@PiCoreTeam π #CLONEX Thoughts are my own, about trading & alpha.
261,815
Followers
42,949
Following
20,684
Tweets
363.4
Avg Engagement
2,172
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @hackapreneur'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:2012-04-30
- Verification:No
- Location:Metaverse
Data Summary
- Tweets Analyzed:3,224
- Avg Likes per Tweet:26.6
- Avg Retweets per Tweet:336.8
- Followers Analyzed:50,000
Engagement Analysis
Based on 3,224 tweetsOn average, their tweets receive a decent number of likes and retweets, indicating a moderately engaged audience. Their content often sparks conversations and interactions.
26.6
Avg Likes/Tweet
336.8
Avg Retweets/Tweet
85,805
Total Likes
1,085,897
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
3
Median Retweets
56
75th Percentile
203,593
Top Tweet
1.39
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
8.8%
Original
44.1%
Replies
39.3%
Retweets
7.8%
Quotes
0.0%
Threads
0.5%
With Media
34.9%
With Links
16.5%
With #Tags
86.8%
With @Mentions
22.8%
With Emojis
104
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
5.01
Reply/Original Ratio
0.2
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
79.6%
Weekday Posts
20.4%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,224 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 1,268 retweets (39% 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 3,224 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 followersTheir audience is primarily interested in blockchain, Web3, and community-driven projects. They engage with followers who are active in the Pi Network and related ecosystems.
Average
Audience Quality
20.8%
Suspicion Index
23.7%
Low-Quality %
38
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
34.9%
Empty Bio
22.1%
<10 Tweets
11.6%
Mass Following (>2K)
0.0%
New (<90 days)
42.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.1%
No URL
12.4%
<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.
77,726,038
Total Potential Reach
38
Median Follower Reach
178
75th Percentile Reach
8.9%
>1K followers
1.6%
>10K followers
0.4%
>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).
50.7%
Creators
25,340 accounts
27.2%
Consumers
13,607 accounts
22.1%
Dormant
11,053 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):
2,208
Verified Followers
2.21% of total
5,599
Protected Accounts
5.6% 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 |
|---|---|---|---|
| @JohnCena | 14,101,144 | Wrestler | Wrestling, Motivation, Self-promotion |
| @Banks | 2,812,671 | Gamer | gaming, internet, music |
| @AlexisRen | 1,392,566 | Model | Fashion, Travel, Wellness |
| @AltcoinDailyio | 1,357,220 | - | - |
| @SinghLions | 1,334,444 | Restaurateur | Food, Travel, Influencer |
| @sofizamolo | 1,125,403 | Model | Fashion, Television, Blogging |
| @Karijelinek | 1,002,340 | Modelo | Modelo, Actriz, Influencers |
| @MattWallace888 | 960,533 | YouTuber | Crypto, Dogecoin, YouTube |
| @BartBaker | 957,641 | Content Creator | Crypto, China, Music |
| @PaulCassidyOF | 851,150 | Adult entertainer | Explicit content |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
64,446
Followers With Bio
35,554
Followers Without Bio
64.45%
% With Bio
35.55%
% 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 3,224 analyzed451,576
Combined Engagement
0
Total Likes
451,576
Total Retweets
90,315
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @elonmusk: https://t.co/Q9OjlJhi7f
RT @elonmusk: https://t.co/OjhQJvruTy
RT @FedorovMykhailo: Starlink — here. Thanks, @elonmusk https://t.co/dZbaYqWYCf
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge…
RT @elonmusk: Twitter is simply the most interesting place on the Internet. That’s why you’re reading this tweet right now.
Key Insights & Takeaways
They focus heavily on Pi Network and its community, indicating a strong interest in this project. Their tweets often encourage interaction and discussion, suggesting a community-oriented approach. They use hashtags effectively to increase visibility and engagement around specific topics.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 261,815
- + 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 @hackapreneur reveals an well-established Twitter presence with 261,815 followers. The account demonstrates a conversation-first approach, averaging 363.4 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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