Ryan Wyatt
Contributor to the Optimism Collective 🔴
428,267
Followers
8,420
Following
1,073
Tweets
96.3
Avg Engagement
1,672
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Fwiz'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:2009-03-04
- Verification:No
- Location:San Diego, CA
Data Summary
- Tweets Analyzed:554
- Avg Likes per Tweet:68.7
- Avg Retweets per Tweet:27.6
- Followers Analyzed:50,000
- Following Analyzed:7,991
Engagement Analysis
Based on 554 tweetsFwiz's tweets typically receive high engagement, with an average of 992 likes and 167 retweets. Their content is well-received and often shared within the crypto and gaming communities.
68.7
Avg Likes/Tweet
27.6
Avg Retweets/Tweet
38,070
Total Likes
15,289
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
0
Median Retweets
56
75th Percentile
2,308
Top Tweet
0.22
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
9.0%
Original
74.7%
Replies
15.2%
Retweets
1.1%
Quotes
0.0%
Threads
0.0%
With Media
18.6%
With Links
2.5%
With #Tags
93.0%
With @Mentions
15.7%
With Emojis
110
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
8.28
Reply/Original Ratio
0.07
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
74.2%
Weekday Posts
25.8%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 554 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 84 retweets (15% 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 554 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 followersFwiz's audience is likely interested in blockchain technology, gaming, and decentralized finance. They are likely to be developers, investors, and enthusiasts in the crypto and gaming spaces.
Good
Audience Quality
19.3%
Suspicion Index
18.3%
Low-Quality %
121
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
26.3%
Empty Bio
14.7%
<10 Tweets
20.9%
Mass Following (>2K)
0.0%
New (<90 days)
37.7%
Low Ratio (<0.1)
0.0%
New (<180 days)
73.8%
No URL
10.3%
<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.
165,616,574
Total Potential Reach
121
Median Follower Reach
615
75th Percentile Reach
19.3%
>1K followers
4.0%
>10K followers
1.0%
>50K followers
0.5%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
70.0%
Creators
35,018 accounts
15.3%
Consumers
7,641 accounts
14.7%
Dormant
7,341 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):
7,875
Verified Followers
7.88% of total
5,828
Protected Accounts
5.83% of total
6 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 | 14,104,181 | Wrestler | Wrestling, Motivation, Self-promotion |
| @binance | 10,397,456 | Cryptocurrency Exchange | Cryptocurrency, Blockchain, Digital Assets |
| @hikakin | 6,509,667 | YouTuber | YouTube, SNS, Collaboration |
| @Dream | 5,994,789 | Artist | Dream, pfp, nyrazzz |
| @McDonalds | 4,766,581 | Fast Food | Fast Food, Grimace, Friendship |
| @WilburSoot | 3,579,268 | Entertainer | Music, Streaming, Geoguessr |
| @DezBryant | 3,498,843 | Athlete | Athlete, Founder, #ThrowUpTheX |
| @sapnap | 3,437,227 | YouTuber | Gaming, YouTube, Content creation |
| @TheChainsmokers | 3,289,644 | Musicians | Music, DJ, Production |
| @BadBoyHalo | 3,154,421 | Content Creator | Memes, Merch, Discord |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
74,466
Followers With Bio
25,534
Followers Without Bio
74.47%
% With Bio
25.53%
% 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 554 analyzed7,653
Combined Engagement
4,031
Total Likes
3,622
Total Retweets
1,531
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
A monumental day for gaming! @0xPolygon has partnered with @Immutable! 🖥️ Immutable will launch a zkEVM MATIC staked chain powered by Polygon 🎮 This is a huge win not for only Polygon, but for game developers and gamers. 🌎 The world is building on Polygon. When are you? http
RT @DrDisrespect: Imagine trying to ‘extract’ with an item you discovered worth $100,000 on the chain. Think about entertainment value as…
Tomorrow is the beginning of our zero-knowledge expansion at @0xPolygon with the debut of our zkEVM chain, the world's first EVM-compatible (Type3) zkEVM, launches on Mainnet. This allows a world for us to continue scaling to a billion users on Polygon in a fast and secure way.
Nexon, Korea’s largest gaming developer, and publisher, is launching on @0xPolygon! 🎮 They join other AAA developers like Square Enix in choosing to build on Polygon. 🌎 From Starbucks to Nike to Nexon, the world is building on Polygon. When are you? https://t.co/nW4kpDOOnS
RT @0xPolygon: Roses are red 🌹 Violets are blue Poems are hard 😩 Mainnet Beta is here ON MARCH 27, Polygon #zkEVM launches the future of…
Network & Following Analysis
Based on 7,991 accounts followedFollowing Quality Signals
Who this account chooses to follow reveals their information diet and network quality.
48.4%
Verified Accounts
35.6%
High Authority (>50K)
100.0%
Dormant Accounts
2.6%
Low Quality
21,712
Median Reach of Followed Accounts
Heuristic analysis. For ML-powered bot detection, try our Bot Detector.
80.2%
Individuals
6,409 accounts
9.9%
Brands/Orgs
792 accounts
9.9%
Media/News
790 accounts
Most Influential Accounts They Follow
| Account | Followers | Profession | Interests |
|---|---|---|---|
| @BarackObama Barack Obama | 131,944,016 | - | - |
| @narendramodi Narendra Modi | 91,388,564 | Politician | Politics, Leadership, Development |
| @YouTube YouTube | 79,164,774 | Content Creator | Entertainment, Technology, Social media |
| @selenagomez Selena Gomez | 66,692,184 | Singer | Music, Acting, Fashion |
| @X X | 66,571,799 | Social Media Manager | - |
| @cnnbrk CNN Breaking News | 63,830,102 | News Outlet | News, Breaking, Alerts |
| @nytimes The New York Times | 55,034,505 | News Organization | News, Tips, Share |
| @KingJames LeBron James | 52,708,390 | Athlete | Basketball, Family, Philanthropy |
| @jimmyfallon Jimmy Fallon | 50,264,920 | Comedian | Comedy, TV, Music |
| @espn ESPN | 47,288,861 | Sports Media | Sports, Fans, Anywhere |
Key Insights & Takeaways
Fwiz frequently highlights major partnerships and developments in the blockchain and gaming sectors. Their content is focused on innovation and growth within the crypto space. They are likely to be a thought leader in the intersection of gaming and blockchain technology.
Strengths
- + Established follower base of 428,267
- + 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 @Fwiz reveals an growing Twitter presence with 428,267 followers. The account demonstrates a conversation-first approach, averaging 96.3 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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