Patrick Hansen
Crypto, Policy & Europe | Director, EU Strategy & Policy @circle | All views are my own
52,069
Followers
896
Following
3,025
Tweets
95.7
Avg Engagement
647
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @paddi_hansen'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:2020-01-28
- Verification:Yes
- Location:Berlin
Data Summary
- Tweets Analyzed:2,898
- Avg Likes per Tweet:66.7
- Avg Retweets per Tweet:29.0
- Followers Analyzed:9,998
Engagement Analysis
Based on 2,898 tweetsPaddi Hansen's tweets receive a high number of likes and retweets, indicating strong audience interaction. Their content is often shared and discussed within the crypto and policy communities.
66.7
Avg Likes/Tweet
29.0
Avg Retweets/Tweet
193,434
Total Likes
83,954
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
8
Median Likes
2
Median Retweets
61
75th Percentile
28,411
Top Tweet
1.84
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
19.7%
Original
51.3%
Replies
17.7%
Retweets
11.4%
Quotes
0.0%
Threads
0.0%
With Media
61.8%
With Links
24.0%
With #Tags
54.2%
With @Mentions
13.9%
With Emojis
204
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
2.61
Reply/Original Ratio
0.64
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
81.0%
Weekday Posts
19.0%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 2,898 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 513 retweets (18% 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 2,898 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 9,998 followersTheir audience is primarily interested in cryptocurrency, EU policy, and regulatory developments. They engage with followers who are likely policymakers, investors, and crypto enthusiasts.
Below Average
Audience Quality
37.5%
Suspicion Index
100.0%
Low-Quality %
66
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
100.0%
Empty Bio
100.0%
<10 Tweets
0.0%
Mass Following (>2K)
0.0%
New (<90 days)
0.0%
Low Ratio (<0.1)
0.0%
New (<180 days)
78.6%
No URL
100.0%
<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.
31,699,602
Total Potential Reach
66
Median Follower Reach
266
75th Percentile Reach
10.5%
>1K followers
2.0%
>10K followers
0.7%
>50K followers
0.3%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
0.0%
Creators
0 accounts
0.0%
Consumers
0 accounts
100.0%
Dormant
9,998 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):
0
Verified Followers
0.0% of total
617
Protected Accounts
6.17% of total
5 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 | 14,098,960 | Wrestler | Wrestling, Motivation, Self-promotion |
| @LeBronJames | 926,093 | - | - |
| @ZachBoychuk | 823,598 | Hockey Player | Hockey, Meme/NFT Trading, Ethereum |
| @coinbureau | 810,693 | Crypto Influencer | Cryptocurrency, Trading, Education |
| @AndreCronjeTech | 383,090 | Developer | DeFi, Blockchain, Innovation |
| @EvanKirstel | 350,348 | Tech Influencer | Tech, B2B, Social media |
| @ryanfoland | 321,641 | Speaker | sailing, speaking, startups |
| @Georg_Grey | 300,225 | - | - |
| @arrington | 296,991 | Entrepreneur | Tech, Crypto, Innovation |
| @thomaspower | 286,064 | Entrepreneur | AI, Bitcoin, Climate |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
6,410
Followers With Bio
3,590
Followers Without Bio
64.1%
% With Bio
35.9%
% 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 2,898 analyzed61,220
Combined Engagement
31,662
Total Likes
29,558
Total Retweets
12,244
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
60%
With Hashtags
60%
With @Mentions
20%
With Links
Topical Analysis:
BREAKING: The ECON committee of the EU Parliament just voted against the de-facto POW-ban: 32 against, 24 in favor. Big relief & political success for the bitcoin & crypto community in the EU💪💪 Will share a breakdown of the vote and what’s next here in this thread. #Bit
RT @balajis: If you’ve been fortunate enough to do well this year, consider joining me and @VitalikButerin by donating at the addresses below. But if all you have is Twitter, help spread the word. For every RT, I’ll donate another $50 to fight COVID in India, up to $100k. #crypt
RT @Toadsanime: Steam has banned all games that utilise blockchain tech, NFTs, or cryptocurrencies from the platform: https://t.co/eUl709uWzF https://t.co/Lpp11rdJqJ
1/ I hate to ring the alarm bell again, but the EU Parliament leaves us no choice 🚨🚨 This time it concerns a crackdown on unhosted wallets in the upcoming crypto AML regulation (TFR). The ECON committee vote is on Thursday and the draft includes some absolute red flags 👇
1/8 Bad news for #bitcoin & #cryptocurrency in the EU 🚨 The POW-ban has basically made its way back into the draft of the European Parliament that will be voted on in the committee on Monday. I just read the latest draft. A quick update 👇 @balajis @_pgauthier @BrianBrooksU
Key Insights & Takeaways
Paddi Hansen frequently highlights critical regulatory updates in the EU, especially regarding cryptocurrency and blockchain technology. They emphasize the importance of political decisions on the future of crypto in Europe. Their tweets often serve as breaking news alerts, showing a proactive approach to informing their audience.
Strengths
- + Established follower base of 52,069
- + 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 @paddi_hansen reveals an growing Twitter presence with 52,069 followers. The account demonstrates a conversation-first approach, averaging 95.7 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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