Nicholas Arashiro
@/weblossom founder.
358,055
Followers
251
Following
4,777
Tweets
515.4
Avg Engagement
13
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @n_arashiro'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:2018-03-20
- Verification:No
- Location:São Paulo, Brasil
Data Summary
- Tweets Analyzed:500
- Avg Likes per Tweet:437.2
- Avg Retweets per Tweet:78.2
- Followers Analyzed:50,000
Engagement Analysis
Based on 500 tweetsTheir tweets receive high engagement, indicating a loyal and active audience. The mix of likes and retweets suggests a balance between professional and personal content.
437.2
Avg Likes/Tweet
78.2
Avg Retweets/Tweet
218,578
Total Likes
39,124
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
38
Median Likes
0
Median Retweets
269
75th Percentile
29,387
Top Tweet
1.44
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
16.0%
Original
76.6%
Replies
7.2%
Retweets
0.2%
Quotes
0.0%
Threads
0.0%
With Media
9.4%
With Links
1.0%
With #Tags
82.8%
With @Mentions
36.6%
With Emojis
39
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.79
Reply/Original Ratio
0.03
Quote/RT Ratio
Posting Rhythm
Highly Bursty
Posts in concentrated bursts
71.8%
Weekday Posts
28.2%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 500 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 36 retweets (7% 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 500 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 likely includes followers interested in web development and personal content. They also engage with fans and loved ones through heartfelt messages.
Average
Audience Quality
21.3%
Suspicion Index
25.9%
Low-Quality %
18
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
27.8%
Empty Bio
33.6%
<10 Tweets
2.8%
Mass Following (>2K)
0.0%
New (<90 days)
46.6%
Low Ratio (<0.1)
0.0%
New (<180 days)
87.8%
No URL
24.0%
<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.
15,239,763
Total Potential Reach
18
Median Follower Reach
105
75th Percentile Reach
3.2%
>1K followers
0.2%
>10K followers
0.1%
>50K followers
0.0%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
49.5%
Creators
24,727 accounts
16.9%
Consumers
8,457 accounts
33.6%
Dormant
16,816 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):
47
Verified Followers
0.05% of total
23,526
Protected Accounts
23.53% 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 |
|---|---|---|---|
| @EtMeSolta | 4,249,064 | Crypto Influencer | Crypto, Web3, NFT |
| @oemputecido | 2,783,193 | Unknown | ,puto,perdido,2018 |
| @KameronBennett | 1,809,427 | DJ | Music, DJing, Booking |
| @BabuSantana | 1,333,999 | Actor | Ator, Cantor, Contato |
| @anygabrielly | 1,282,159 | Singer | Music, Singing, Brazil |
| @eupelu | 788,320 | Musician | cantor, compositor, produtor musical |
| @RapMais | 731,881 | Media | Rap, Hip-hop, Lifestyle |
| @vini_vecchi | 582,770 | Wine Influencer | wine, vintage, Instagram |
| @jpmota | 565,293 | Unknown | decepcionado, surpreso, jpmota |
| @vittorfernando | 461,615 | Actor | ator, trouxa, contato |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
71,960
Followers With Bio
28,040
Followers Without Bio
71.96%
% With Bio
28.04%
% 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 500 analyzed83,291
Combined Engagement
82,020
Total Likes
1,271
Total Retweets
16,658
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
0%
With Hashtags
20%
With @Mentions
60%
With Links
Topical Analysis:
https://t.co/DOTyfaLwt5
prainha https://t.co/vS2eEhuZIQ
Parabéns amor da minha vida, te amo demais, feliz 19! Eu e você pra sempre 🔴🎂💯‼️ @maisa https://t.co/6gzHS8IP1i
saudade da minha namorada
Vai Rayssa você é foda! Traz p nois o ouro! Deus abençoe muito 🏁‼️❤
Key Insights & Takeaways
They maintain a strong online presence with a large following and consistent posting. Their content includes both professional and personal elements, indicating a diverse audience interest. They engage with fans and loved ones, suggesting a focus on community and personal connections.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 358,055
- + 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 @n_arashiro reveals an well-established Twitter presence with 358,055 followers. The account demonstrates a conversation-first approach, averaging 515.4 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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