Sami Rusani
Impact driven investor, Fund Manager | #crypto since 2014 | I invest in #web3 #AI #impact & #Blockchain
70,909
Followers
9,307
Following
3,665
Tweets
240.7
Avg Engagement
441
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @SamRusani'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:2011-07-22
- Verification:Yes
- Location:The World
Data Summary
- Tweets Analyzed:3,209
- Avg Likes per Tweet:10.1
- Avg Retweets per Tweet:230.6
- Followers Analyzed:10,995
Engagement Analysis
Based on 3,209 tweetsHis tweets receive a high number of likes and retweets, indicating strong audience interaction. The content is both informative and thought-provoking, encouraging discussion and reflection.
10.1
Avg Likes/Tweet
230.6
Avg Retweets/Tweet
32,254
Total Likes
740,093
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
1
Median Likes
0
Median Retweets
6
75th Percentile
455,036
Top Tweet
3.39
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
33.8%
Original
60.1%
Replies
4.4%
Retweets
1.6%
Quotes
0.0%
Threads
0.2%
With Media
19.3%
With Links
22.1%
With #Tags
76.7%
With @Mentions
5.1%
With Emojis
96
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
1.78
Reply/Original Ratio
0.37
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
77.0%
Weekday Posts
23.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,209 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 142 retweets (4% 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 3,209 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 10,995 followersHis followers are likely interested in finance, technology, and investment opportunities. They are likely early adopters or enthusiasts in the crypto and web3 space.
Average
Audience Quality
20.0%
Suspicion Index
14.5%
Low-Quality %
148
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
24.8%
Empty Bio
10.9%
<10 Tweets
30.5%
Mass Following (>2K)
0.0%
New (<90 days)
35.2%
Low Ratio (<0.1)
0.0%
New (<180 days)
85.3%
No URL
4.2%
<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.
7,513,168
Total Potential Reach
148
Median Follower Reach
423
75th Percentile Reach
9.7%
>1K followers
0.8%
>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).
61.4%
Creators
6,756 accounts
27.7%
Consumers
3,044 accounts
10.9%
Dormant
1,195 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):
115
Verified Followers
1.05% of total
775
Protected Accounts
7.05% of total
4 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 |
|---|---|---|---|
| @agazdecki | 205,571 | - | - |
| @frankiemacd | 150,798 | Weatherman | Weather Reports, YouTube Videos, Dancing |
| @BatzandanJ | 143,810 | Lawyer | politics, law, academia |
| @Lahcenhaddad | 136,418 | Academic | Research, Writing, Development |
| @ParabolicGuy | 126,742 | - | - |
| @JarredWinn | 123,207 | Cryptocurrency Expert | blockchain, crypto, philanthropy |
| @DalithSteiger | 118,804 | Entrepreneur | AI, cognitive technologies, Switzerland |
| @KourtneyReppert | 108,499 | Model | Modeling, Playboy, Calendar |
| @sambodhi | 105,128 | Data Analyst | Data, Knowledge, Decisions |
| @BlocksterCom | 89,271 | Cryptocurrency Networking | Cryptocurrency, Networking, Investors |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
8,270
Followers With Bio
2,729
Followers Without Bio
75.19%
% With Bio
24.81%
% 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 3,209 analyzed677,804
Combined Engagement
0
Total Likes
677,804
Total Retweets
135,561
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
60%
With Links
Topical Analysis:
RT @IncredibleCulk: Hey guys, wanna feel old? I'm 40. You're welcome.
RT @ClaysandBirds: Every year as we move away from the events of 9/11, I find the images of the towers falling don’t impact the way they use to. I now try to focus on individual stories from that day to help remind me of the emotions I felt. This year I want to focus on the dogs
RT @nowthisnews: ‘If Facebook were around in the 1930s, it would have allowed Hitler to post 30-second ads’ — Listen to Sacha Baron Cohen slam the social media industry for facilitating the spread of hate, lies, and conspiracies https://t.co/QinOnNRvxv
RT @nowthisnews: This nurse used paint to demonstrate how people are still spreading germs while wearing gloves https://t.co/THXF2zgeMp
RT @saylor: MicroStrategy has purchased an additional 480 bitcoins for ~$10.0 million at an average price of ~$20,817 per #bitcoin. As of 6/28/22 @MicroStrategy holds ~129,699 bitcoins acquired for ~$3.98 billion at an average price of ~$30,664 per bitcoin. $MSTR https://t.co/leQ
Key Insights & Takeaways
He highlights the financial mindset difference between the rich and the broke He encourages following smart people in forward-thinking industries like Web3 and AI He reminds his audience to enjoy life as time is limited
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 70,909
- + 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 @SamRusani reveals an well-established Twitter presence with 70,909 followers. The account demonstrates a conversation-first approach, averaging 240.7 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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