rahilla 🇺🇦
Web3 Partnerships Director @StabilityAI / Executive Producer @newherexyz
10,696
Followers
3,696
Following
19,915
Tweets
470.3
Avg Engagement
323
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @rahilla'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:2008-07-11
- Verification:No
- Location:Not specified
Data Summary
- Tweets Analyzed:3,243
- Avg Likes per Tweet:4.1
- Avg Retweets per Tweet:466.3
- Followers Analyzed:10,913
- Following Analyzed:3,391
Engagement Analysis
Based on 3,243 tweetsHer tweets receive moderate to high engagement, with an average of 259 likes and 32 retweets. She often engages in discussions around Ethereum and Bitcoin, reflecting her niche interests.
4.1
Avg Likes/Tweet
466.3
Avg Retweets/Tweet
13,152
Total Likes
1,512,141
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
1
Median Retweets
23
75th Percentile
310,831
Top Tweet
43.97
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Curator
Amplifies others content frequently
8.0%
Original
33.7%
Replies
44.3%
Retweets
14.0%
Quotes
0.0%
Threads
0.7%
With Media
58.4%
With Links
8.4%
With #Tags
88.8%
With @Mentions
30.7%
With Emojis
133
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.22
Reply/Original Ratio
0.32
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
73.3%
Weekday Posts
26.7%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,243 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 1,436 retweets (44% 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 3,243 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 10,913 followersHer audience includes industry professionals, investors, and enthusiasts in the Web3 and crypto space. She frequently interacts with notable figures like Jack, Farokh, and Sam Kazemian.
Good
Audience Quality
17.9%
Suspicion Index
11.2%
Low-Quality %
536
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
17.4%
Empty Bio
8.9%
<10 Tweets
37.9%
Mass Following (>2K)
0.0%
New (<90 days)
21.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
54.4%
No URL
5.0%
<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.
262,381,688
Total Potential Reach
536
Median Follower Reach
2,364
75th Percentile Reach
39.6%
>1K followers
10.4%
>10K followers
2.9%
>50K followers
1.6%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
77.6%
Creators
8,469 accounts
13.5%
Consumers
1,477 accounts
8.9%
Dormant
967 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):
445
Verified Followers
4.08% of total
606
Protected Accounts
5.55% 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 |
|---|---|---|---|
| @BarackObama | 132,977,515 | Politician | Family, Leadership, Citizenship |
| @JohnCena | 14,106,772 | Wrestler | Wrestling, Motivation, Self-promotion |
| @verified | 4,201,548 | - | - |
| @DezBryant | 3,504,351 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @garyvee | 3,172,903 | Entrepreneur | Family, CEO, Investor |
| @CoinDesk | 3,062,471 | Cryptocurrency News | Cryptocurrency, Markets, Data |
| @benlandis | 2,854,496 | - | - |
| @marshmello | 2,436,197 | Music Producer | Music, DJ, EDM |
| @Alesso | 2,072,943 | Musician | Music, Collaboration, Release |
| @6BillionPeople | 2,038,807 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
9,014
Followers With Bio
1,899
Followers Without Bio
82.6%
% With Bio
17.4%
% 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 full follower list with profile details, bios, locations, and follower counts as CSV.
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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 3,243 analyzed667,113
Combined Engagement
0
Total Likes
667,113
Total Retweets
133,423
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @warriors: Steve Kerr on today's tragic shooting in Uvalde, Texas. https://t.co/lsJ8RzPcmC
RT @elonmusk: @FedorovMykhailo Starlink service is now active in Ukraine. More terminals en route.
RT @taylorswift13: @DamonAlbarn I was such a big fan of yours until I saw this. I write ALL of my own songs. Your hot take is completely false and SO damaging. You don’t have to like my songs but it’s really fucked up to try and discredit my writing. WOW. https://t.co/t6GyXBU2Jd
RT @JoshuaPotash: Russian tennis player Andrey Rublev writing "No war please" on the camera after his win in Dubai today. https://t.co/KCi5f36lSb
RT @VitalikButerin: And we finalized! Happy merge all. This is a big moment for the Ethereum ecosystem. Everyone who helped make the merge happen should feel very proud today.
Network & Following Analysis
Based on 3,391 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
39.1%
Verified Accounts
19.8%
High Authority (>50K)
100.0%
Dormant Accounts
3.6%
Low Quality
6,029
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
79.8%
Individuals
2,707 accounts
8.6%
Brands/Orgs
293 accounts
11.5%
Media/News
391 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @elonmusk Elon Musk | 154,971,598 | Entrepreneur | Space, Technology, Innovation |
| @BarackObama Barack Obama | 131,946,965 | Politician | Family, Leadership, Citizenship |
| @X X | 66,565,547 | Social Media Manager | - |
| @nytimes The New York Times | 55,035,080 | News Organization | News, Tips, Share |
| @JoeBiden Joe Biden | 37,392,756 | Politician | Family, Leadership, America |
| @POTUS President Biden | 32,188,954 | - | - |
| @HillaryClinton Hillary Clinton | 31,310,447 | Politician | - |
| @TheEconomist The Economist | 27,165,846 | News outlet | News, analysis, global |
| @Eminem Marshall Mathers | 22,198,835 | Rapper | rap, music, Detroit |
| @MichelleObama Michelle Obama | 22,121,708 | Public Figure | Wife, mother, dog lover |
Key Insights & Takeaways
She frequently interacts with key figures in the crypto space, indicating strong industry connections. Her tweets often focus on Ethereum and Bitcoin, suggesting a clear interest in these projects. She highlights interviews and initiatives that align with scaling and innovation in blockchain technology.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 10,696
- + 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 @rahilla reveals an well-established Twitter presence with 10,696 followers. The account demonstrates a conversation-first approach, averaging 470.3 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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